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Volume 89: The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019,
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Editors: Kamalika Chaudhuri, Masashi Sugiyama
Proximal Splitting Meets Variance Reduction
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1-10
Optimal Noise-Adding Mechanism in Additive Differential Privacy
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:11-20
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Tossing Coins Under Monotonicity
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:21-30
Gaussian Regression with Convex Constraints
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:31-38
Risk-Averse Stochastic Convex Bandit
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:39-47
Error bounds for sparse classifiers in high-dimensions
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:48-56
Boosting Transfer Learning with Survival Data from Heterogeneous Domains
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:57-65
Resampled Priors for Variational Autoencoders
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:66-75
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:76-86
Scalable Thompson Sampling via Optimal Transport
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:87-96
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Inferring Multidimensional Rates of Aging from Cross-Sectional Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:97-107
Interaction Detection with Bayesian Decision Tree Ensembles
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:108-117
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On the Interaction Effects Between Prediction and Clustering
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:118-126
Towards a Theoretical Understanding of Hashing-Based Neural Nets
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:127-137
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Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:138-147
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:148-157
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:158-166
Unbiased Implicit Variational Inference
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:167-176
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Efficient Linear Bandits through Matrix Sketching
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:177-185
Orthogonal Estimation of Wasserstein Distances
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:186-195
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:196-205
Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:206-215
Block Stability for MAP Inference
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:216-225
A Stein–Papangelou Goodness-of-Fit Test for Point Processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:226-235
KAMA-NNs: Low-dimensional Rotation Based Neural Networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:236-245
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:246-255
Sketching for Latent Dirichlet-Categorical Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:256-265
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:266-275
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Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:276-285
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Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:286-294
Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:295-303
Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:304-312
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:313-322
Modularity-based Sparse Soft Graph Clustering
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:323-332
Pathwise Derivatives for Multivariate Distributions
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:333-342
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:343-352
Vine copula structure learning via Monte Carlo tree search
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:353-361
Blind Demixing via Wirtinger Flow with Random Initialization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:362-370
Performance Metric Elicitation from Pairwise Classifier Comparisons
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:371-379
Analysis of Network Lasso for Semi-Supervised Regression
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:380-387
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Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:388-396
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Robust Matrix Completion from Quantized Observations
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:397-407
Foundations of Sequence-to-Sequence Modeling for Time Series
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:408-417
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:418-427
An Optimal Algorithm for Stochastic Three-Composite Optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:428-437
A Thompson Sampling Algorithm for Cascading Bandits
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:438-447
Lifelong Optimization with Low Regret
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:448-456
Sparse Multivariate Bernoulli Processes in High Dimensions
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:457-466
An Optimal Algorithm for Stochastic and Adversarial Bandits
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:467-475
Efficient Bayesian Experimental Design for Implicit Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:476-485
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Local Saddle Point Optimization: A Curvature Exploitation Approach
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:486-495
Testing Conditional Independence on Discrete Data using Stochastic Complexity
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:496-505
Distributionally Robust Submodular Maximization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:506-516
A Robust Zero-Sum Game Framework for Pool-based Active Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:517-526
Support and Invertibility in Domain-Invariant Representations
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:527-536
Efficient Inference in Multi-task Cox Process Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:537-546
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:547-556
On Connecting Stochastic Gradient MCMC and Differential Privacy
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:557-566
What made you do this? Understanding black-box decisions with sufficient input subsets
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:567-576
Computation Efficient Coded Linear Transform
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:577-585
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:586-595
Temporal Quilting for Survival Analysis
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:596-605
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:606-615
On Target Shift in Adversarial Domain Adaptation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:616-625
Optimal Testing in the Experiment-rich Regime
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:626-633
Reversible Jump Probabilistic Programming
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:634-643
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Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:644-653
High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:654-663
Robust Graph Embedding with Noisy Link Weights
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:664-673
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:674-683
Defending against Whitebox Adversarial Attacks via Randomized Discretization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:684-693
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Fisher Information and Natural Gradient Learning in Random Deep Networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:694-702
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Robust descent using smoothed multiplicative noise
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:703-711
Classification using margin pursuit
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:712-720
Linear Queries Estimation with Local Differential Privacy
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:721-729
Bayesian Learning of Neural Network Architectures
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:730-738
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Nonlinear Acceleration of Primal-Dual Algorithms
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:739-747
Gaussian Process Latent Variable Alignment Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:748-757
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:758-767
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:768-776
Forward Amortized Inference for Likelihood-Free Variational Marginalization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:777-786
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:787-795
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:796-805
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:806-815
A new evaluation framework for topic modeling algorithms based on synthetic corpora
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:816-826
On Kernel Derivative Approximation with Random Fourier Features
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:827-836
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:837-848
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Optimal Transport for Multi-source Domain Adaptation under Target Shift
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:849-858
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:859-868
Deep Neural Networks Learn Non-Smooth Functions Effectively
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:869-878
Attenuating Bias in Word vectors
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:879-887
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Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:888-896
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:897-906
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:907-915
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:916-925
Generalized Boltzmann Machine with Deep Neural Structure
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:926-934
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Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:935-943
Correcting the bias in least squares regression with volume-rescaled sampling
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:944-953
Conservative Exploration using Interleaving
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:954-963
Conditionally Independent Multiresolution Gaussian Processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:964-973
Active Exploration in Markov Decision Processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:974-982
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:983-992
Bandit Online Learning with Unknown Delays
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:993-1002
Learning Invariant Representations with Kernel Warping
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1003-1012
$β^3$-IRT: A New Item Response Model and its Applications
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1013-1021
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1022-1031
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Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1032-1041
Conditional Sparse $L_p$-norm Regression With Optimal Probability
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1042-1050
On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1051-1060
Autoencoding any Data through Kernel Autoencoders
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1061-1069
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1070-1078
Learning to Optimize under Non-Stationarity
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1079-1087
SPONGE: A generalized eigenproblem for clustering signed networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1088-1098
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1099-1109
Are we there yet? Manifold identification of gradient-related proximal methods
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1110-1119
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1120-1129
XBART: Accelerated Bayesian Additive Regression Trees
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1130-1138
A Swiss Army Infinitesimal Jackknife
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1139-1147
Online Multiclass Boosting with Bandit Feedback
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1148-1156
Auto-Encoding Total Correlation Explanation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1157-1166
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Towards Efficient Data Valuation Based on the Shapley Value
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1167-1176
Bayesian optimisation under uncertain inputs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1177-1184
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1185-1194
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1195-1204
No-regret algorithms for online $k$-submodular maximization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1205-1214
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1215-1225
Subsampled Renyi Differential Privacy and Analytical Moments Accountant
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1226-1235
Model Consistency for Learning with Mirror-Stratifiable Regularizers
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1236-1244
From Cost-Sensitive to Tight F-measure Bounds
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1245-1253
Feature subset selection for the multinomial logit model via mixed-integer optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1254-1263
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1264-1274
Restarting Frank-Wolfe
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1275-1283
Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1284-1293
Infinite Task Learning in RKHSs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1294-1302
Detection of Planted Solutions for Flat Satisfiability Problems
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1303-1312
Markov Properties of Discrete Determinantal Point Processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1313-1321
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Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1322-1330
Distilling Policy Distillation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1331-1340
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1341-1350
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1351-1360
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1361-1369
A Continuous-Time View of Early Stopping for Least Squares Regression
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1370-1378
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1379-1387
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1388-1397
Learning Rules-First Classifiers
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1398-1406
Wasserstein regularization for sparse multi-task regression
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1407-1416
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1417-1426
Black Box Quantiles for Kernel Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1427-1437
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Adversarial Variational Optimization of Non-Differentiable Simulators
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1438-1447
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1448-1457
Projection Free Online Learning over Smooth Sets
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1458-1466
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1467-1475
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Learning Influence-Receptivity Network Structure with Guarantee
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1476-1485
Iterative Bayesian Learning for Crowdsourced Regression
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1486-1495
Nonconvex Matrix Factorization from Rank-One Measurements
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1496-1505
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Fast and Robust Shortest Paths on Manifolds Learned from Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1506-1515
Training a Spiking Neural Network with Equilibrium Propagation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1516-1523
Learning One-hidden-layer ReLU Networks via Gradient Descent
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1524-1534
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Gain estimation of linear dynamical systems using Thompson Sampling
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1535-1543
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1544-1553
Calibrating Deep Convolutional Gaussian Processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1554-1563
Stochastic algorithms with descent guarantees for ICA
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1564-1573
Sample Complexity of Sinkhorn Divergences
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1574-1583
Adaptive Gaussian Copula ABC
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1584-1592
Top Feasible Arm Identification
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1593-1601
Direct Acceleration of SAGA using Sampled Negative Momentum
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1602-1610
Does data interpolation contradict statistical optimality?
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1611-1619
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Inverting Supervised Representations with Autoregressive Neural Density Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1620-1629
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1630-1639
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1640-1649
Differentially Private Online Submodular Minimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1650-1658
Semi-supervised clustering for de-duplication
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1659-1667
Finding the bandit in a graph: Sequential search-and-stop
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1668-1677
Statistical Learning under Nonstationary Mixing Processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1678-1686
[abs][Download PDF]
On Structure Priors for Learning Bayesian Networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1687-1695
[abs][Download PDF]
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1696-1703
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1704-1713
Learning Natural Programs from a Few Examples in Real-Time
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1714-1722
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Truncated Back-propagation for Bilevel Optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1723-1732
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1733-1742
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1743-1752
Lifted Weight Learning of Markov Logic Networks Revisited
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1753-1761
Causal Discovery in the Presence of Missing Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1762-1770
Learning Tree Structures from Noisy Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1771-1782
Active multiple matrix completion with adaptive confidence sets
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1783-1791
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1792-1801
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Negative Momentum for Improved Game Dynamics
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1802-1811
Deep learning with differential Gaussian process flows
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1812-1821
Data-dependent compression of random features for large-scale kernel approximation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1822-1831
Large-Margin Classification in Hyperbolic Space
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1832-1840
Generalizing the theory of cooperative inference
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1841-1850
MaxHedge: Maximizing a Maximum Online
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1851-1859
The Gaussian Process Autoregressive Regression Model (GPAR)
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1860-1869
Towards Optimal Transport with Global Invariances
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1870-1879
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1880-1890
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Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1891-1900
Probabilistic Forecasting with Spline Quantile Function RNNs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1901-1910
Exponential Weights on the Hypercube in Polynomial Time
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1911-1919
Sharp Analysis of Learning with Discrete Losses
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1920-1929
Designing Optimal Binary Rating Systems
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1930-1939
Stochastic Negative Mining for Learning with Large Output Spaces
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1940-1949
Learning One-hidden-layer Neural Networks under General Input Distributions
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1950-1959
A Geometric Perspective on the Transferability of Adversarial Directions
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1960-1968
Non-linear process convolutions for multi-output Gaussian processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1969-1977
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Lovasz Convolutional Networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1978-1987
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Bridging the gap between regret minimization and best arm identification, with application to A/B tests
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1988-1996
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1997-2006
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Implicit Kernel Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2007-2016
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2017-2027
Variational Information Planning for Sequential Decision Making
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2028-2036
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Renyi Differentially Private ERM for Smooth Objectives
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2037-2046
Projection-Free Bandit Convex Optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2047-2056
Provable Robustness of ReLU networks via Maximization of Linear Regions
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2057-2066
Test without Trust: Optimal Locally Private Distribution Testing
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2067-2076
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Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2077-2086
On Euclidean k-Means Clustering with alpha-Center Proximity
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2087-2095
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2096-2105
Safe Convex Learning under Uncertain Constraints
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2106-2114
The non-parametric bootstrap and spectral analysis in moderate and high-dimension
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2115-2124
Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2125-2133
Training Variational Autoencoders with Buffered Stochastic Variational Inference
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2134-2143
Regularized Contextual Bandits
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2144-2153
Risk-Sensitive Generative Adversarial Imitation Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2154-2163
Learning Controllable Fair Representations
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2164-2173
Multi-Task Time Series Analysis applied to Drug Response Modelling
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2174-2183
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2184-2192
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2193-2202
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Distributional reinforcement learning with linear function approximation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2203-2211
Matroids, Matchings, and Fairness
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2212-2220
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2221-2230
The Termination Critic
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2231-2240
Consistent Online Optimization: Convex and Submodular
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2241-2250
Learning Determinantal Point Processes by Corrective Negative Sampling
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2251-2260
Probabilistic Semantic Inpainting with Pixel Constrained CNNs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2261-2270
Least Squares Estimation of Weakly Convex Functions
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2271-2280
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2281-2290
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2291-2300
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Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2301-2311
Interpretable Cascade Classifiers with Abstention
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2312-2320
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Kernel Exponential Family Estimation via Doubly Dual Embedding
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2321-2330
Revisiting Adversarial Risk
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2331-2339
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2340-2349
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Bernoulli Race Particle Filters
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2350-2358
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2359-2367
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2368-2377
Unbiased Smoothing using Particle Independent Metropolis-Hastings
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2378-2387
Two-temperature logistic regression based on the Tsallis divergence
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2388-2396
Avoiding Latent Variable Collapse with Generative Skip Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2397-2405
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SMOGS: Social Network Metrics of Game Success
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2406-2414
Fast Algorithms for Sparse Reduced-Rank Regression
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2415-2424
Modeling simple structures and geometry for better stochastic optimization algorithms
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2425-2434
Online learning with feedback graphs and switching costs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2435-2444
Interpretable Almost-Exact Matching for Causal Inference
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2445-2453
Statistical Optimal Transport via Factored Couplings
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2454-2465
$HS^2$: Active learning over hypergraphs with pointwise and pairwise queries
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2466-2475
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2476-2484
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2485-2494
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An Optimal Control Approach to Sequential Machine Teaching
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2495-2503
An Online Algorithm for Smoothed Regression and LQR Control
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2504-2513
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Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2514-2524
Structured Disentangled Representations
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2525-2534
Estimating Network Structure from Incomplete Event Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2535-2544
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2545-2554
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Estimation of Non-Normalized Mixture Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2555-2563
Rotting bandits are no harder than stochastic ones
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2564-2572
A Topological Regularizer for Classifiers via Persistent Homology
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2573-2582
Overcomplete Independent Component Analysis via SDP
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2583-2592
Doubly Semi-Implicit Variational Inference
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2593-2602
Reducing training time by efficient localized kernel regression
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2603-2610
Scalable High-Order Gaussian Process Regression
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2611-2620
A Higher-Order Kolmogorov-Smirnov Test
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2621-2630
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2631-2640
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2641-2649
Credit Assignment Techniques in Stochastic Computation Graphs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2650-2660
Efficient Bayesian Optimization for Target Vector Estimation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2661-2670
Correspondence Analysis Using Neural Networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2671-2680
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2681-2690
Multi-Observation Regression
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2691-2700
Adaptive MCMC via Combining Local Samplers
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2701-2710
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Variance reduction properties of the reparameterization trick
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2711-2720
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Hierarchical Clustering for Euclidean Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2721-2730
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2731-2740
Variational Noise-Contrastive Estimation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2741-2750
Improving Quadrature for Constrained Integrands
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2751-2759
High Dimensional Inference in Partially Linear Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2760-2769
Cost aware Inference for IoT Devices
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2770-2779
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2780-2789
A Unified Weight Learning Paradigm for Multi-view Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2790-2800
Region-Based Active Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2801-2809
Precision Matrix Estimation with Noisy and Missing Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2810-2819
Exploring $k$ out of Top $ρ$ Fraction of Arms in Stochastic Bandits
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2820-2828
AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2829-2838
On Theory for BART
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2839-2848
Deep Topic Models for Multi-label Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2849-2857
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On the Dynamics of Gradient Descent for Autoencoders
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2858-2867
Complexities in Projection-Free Stochastic Non-convex Minimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2868-2876
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2877-2886
Efficient Greedy Coordinate Descent for Composite Problems
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2887-2896
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2897-2906
Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2907-2915
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Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2916-2925
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2926-2935
Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2936-2945
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2946-2955
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Imitation-Regularized Offline Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2956-2965
A maximum-mean-discrepancy goodness-of-fit test for censored data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2966-2975
Sobolev Descent
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2976-2985
Learning the Structure of a Nonstationary Vector Autoregression
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2986-2994
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:2995-3003
A Fast Sampling Algorithm for Maximum Inner Product Search
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3004-3012
Minimum Volume Topic Modeling
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3013-3021
Binary Space Partitioning Forest
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3022-3031
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Improved Semi-Supervised Learning with Multiple Graphs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3032-3041
Optimizing over a Restricted Policy Class in MDPs
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3042-3050
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3051-3059
Deep Switch Networks for Generating Discrete Data and Language
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3060-3069
A recurrent Markov state-space generative model for sequences
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3070-3079
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3080-3088
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3089-3098
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Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3099-3107
Model-Free Linear Quadratic Control via Reduction to Expert Prediction
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3108-3117
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3118-3127
Structured Robust Submodular Maximization: Offline and Online Algorithms
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3128-3137
Sample-Efficient Imitation Learning via Generative Adversarial Nets
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3138-3148
Probabilistic Multilevel Clustering via Composite Transportation Distance
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3149-3157
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3158-3167
Online Algorithm for Unsupervised Sensor Selection
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3168-3176
Best of many worlds: Robust model selection for online supervised learning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3177-3186
Accelerating Imitation Learning with Predictive Models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3187-3196
Online Learning in Kernelized Markov Decision Processes
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3197-3205
Lifting high-dimensional non-linear models with Gaussian regressors
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3206-3215
Domain-Size Aware Markov Logic Networks
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3216-3224
Database Alignment with Gaussian Features
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3225-3233
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Size of Interventional Markov Equivalence Classes in random DAG models
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3234-3243
Reparameterizing Distributions on Lie Groups
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3244-3253
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3254-3263
Multi-Order Information for Working Set Selection of Sequential Minimal Optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3264-3272
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Harmonizable mixture kernels with variational Fourier features
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3273-3282
Multiscale Gaussian Process Level Set Estimation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3283-3291
The LORACs Prior for VAEs: Letting the Trees Speak for the Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3292-3301
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3302-3311
Active Ranking with Subset-wise Preferences
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3312-3321
Recovery Guarantees For Quadratic Tensors With Sparse Observations
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3322-3332
Sample Efficient Graph-Based Optimization with Noisy Observations
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3333-3341
Robustness Guarantees for Density Clustering
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3342-3351
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3352-3361
Multitask Metric Learning: Theory and Algorithm
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3362-3371
Efficient Bayes Risk Estimation for Cost-Sensitive Classification
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3372-3381
Interpreting Black Box Predictions using Fisher Kernels
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3382-3390
Representation Learning on Graphs: A Reinforcement Learning Application
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3391-3399
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ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3400-3409
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3410-3419
Convergence of Gradient Descent on Separable Data
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3420-3428
Structured Neural Topic Models for Reviews
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3429-3439
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3440-3448
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3449-3458
Evaluating model calibration in classification
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3459-3467
Towards Gradient Free and Projection Free Stochastic Optimization
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3468-3477
On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3478-3486
Data-Driven Approach to Multiple-Source Domain Adaptation
; Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:3487-3496
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