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Volume 84: International Conference on Artificial Intelligence and Statistics, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands
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Editors: Amos Storkey, Fernando Perez-Cruz
The Geometry of Random Features
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1-9
Gauged Mini-Bucket Elimination for Approximate Inference
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:10-19
A Fast Algorithm for Separated Sparsity via Perturbed Lagrangians
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:20-28
An Analysis of Categorical Distributional Reinforcement Learning
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:29-37
Combinatorial Preconditioners for Proximal Algorithms on Graphs
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:38-47
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Growth-Optimal Portfolio Selection under CVaR Constraints
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:48-57
Accelerated Stochastic Power Iteration
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:58-67
Multi-scale Nystrom Method
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:68-76
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:77-85
Mixed Membership Word Embeddings for Computational Social Science
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:86-95
Fast Threshold Tests for Detecting Discrimination
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:96-105
Iterative Supervised Principal Components
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:106-114
Iterative Spectral Method for Alternative Clustering
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:115-123
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:124-132
Parallelised Bayesian Optimisation via Thompson Sampling
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:133-142
On the challenges of learning with inference networks on sparse, high-dimensional data
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:143-151
Post Selection Inference with Kernels
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:152-160
On how complexity affects the stability of a predictor
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:161-167
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On Truly Block Eigensolvers via Riemannian Optimization
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:168-177
Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:178-187
IHT dies hard: Provable accelerated Iterative Hard Thresholding
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:188-198
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Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:199-207
Outlier Detection and Robust Estimation in Nonparametric Regression
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:208-216
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Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:217-225
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AdaGeo: Adaptive Geometric Learning for Optimization and Sampling
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:226-234
Online Learning with Non-Convex Losses and Non-Stationary Regret
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:235-243
Learning Determinantal Point Processes in Sublinear Time
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:244-257
Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:258-268
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:269-278
Online Boosting Algorithms for Multi-label Ranking
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:279-287
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:288-297
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:298-307
Robust Active Label Correction
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:308-316
Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:317-326
Optimal Submodular Extensions for Marginal Estimation
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:327-335
Semi-Supervised Learning with Competitive Infection Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:336-346
Discriminative Learning of Prediction Intervals
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:347-355
Topic Compositional Neural Language Model
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:356-365
Learning Priors for Invariance
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:366-375
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Optimal Cooperative Inference
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:376-385
Stochastic Multi-armed Bandits in Constant Space
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:386-394
Matrix completability analysis via graph k-connectivity
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:395-403
FLAG n’ FLARE: Fast Linearly-Coupled Adaptive Gradient Methods
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:404-414
Multi-view Metric Learning in Vector-valued Kernel Spaces
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:415-424
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:425-434
Dropout as a Low-Rank Regularizer for Matrix Factorization
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:435-444
A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:445-453
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Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:454-463
Boosting Variational Inference: an Optimization Perspective
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:464-472
Personalized and Private Peer-to-Peer Machine Learning
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:473-481
Tensor Regression Meets Gaussian Processes
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:482-490
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:491-499
Medoids in Almost-Linear Time via Multi-Armed Bandits
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:500-509
Regional Multi-Armed Bandits
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:510-518
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:519-528
Sum-Product-Quotient Networks
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:529-537
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:538-547
Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:548-556
Group Invariance Principles for Causal Generative Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:557-565
A Provable Algorithm for Learning Interpretable Scoring Systems
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:566-574
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Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:575-584
Efficient Bandit Combinatorial Optimization Algorithm with Zero-suppressed Binary Decision Diagrams
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:585-594
Transfer Learning on fMRI Datasets
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:595-603
An Optimization Approach to Learning Falling Rule Lists
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:604-612
Catalyst for Gradient-based Nonconvex Optimization
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:613-622
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Benefits from Superposed Hawkes Processes
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:623-631
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Nonparametric Preference Completion
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:632-641
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:642-651
Efficient and principled score estimation with Nyström kernel exponential families
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:652-660
Symmetric Variational Autoencoder and Connections to Adversarial Learning
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:661-669
Few-shot Generative Modelling with Generative Matching Networks
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:670-678
Nonlinear Weighted Finite Automata
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:679-688
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Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:689-697
Variational inference for the multi-armed contextual bandit
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:698-706
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Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:707-715
Subsampling for Ridge Regression via Regularized Volume Sampling
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:716-725
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:726-735
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Batch-Expansion Training: An Efficient Optimization Framework
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:736-744
Batched Large-scale Bayesian Optimization in High-dimensional Spaces
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:745-754
Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:755-764
Stochastic Three-Composite Convex Minimization with a Linear Operator
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:765-774
Direct Learning to Rank And Rerank
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:775-783
One-shot Coresets: The Case of k-Clustering
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:784-792
Random Warping Series: A Random Features Method for Time-Series Embedding
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:793-802
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:803-812
Variational Inference based on Robust Divergences
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:813-822
Variational Rejection Sampling
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:823-832
Best arm identification in multi-armed bandits with delayed feedback
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:833-842
A fully adaptive algorithm for pure exploration in linear bandits
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:843-851
Contextual Bandits with Stochastic Experts
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:852-861
Human Interaction with Recommendation Systems
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:862-870
Community Detection in Hypergraphs: Optimal Statistical Limit and Efficient Algorithms
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:871-879
Smooth and Sparse Optimal Transport
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:880-889
Robust Maximization of Non-Submodular Objectives
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:890-899
Cause-Effect Inference by Comparing Regression Errors
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:900-909
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Tree-based Bayesian Mixture Model for Competing Risks
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:910-918
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Actor-Critic Fictitious Play in Simultaneous Move Multistage Games
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:919-928
Random Subspace with Trees for Feature Selection Under Memory Constraints
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:929-937
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:938-947
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:948-957
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:958-967
Variational Sequential Monte Carlo
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:968-977
Statistically Efficient Estimation for Non-Smooth Probability Densities
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:978-987
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SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:988-997
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:998-1007
Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1008-1016
Statistical Sparse Online Regression: A Diffusion Approximation Perspective
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1017-1026
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1027-1036
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1037-1046
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Learning to Round for Discrete Labeling Problems
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1047-1056
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Approximate Ranking from Pairwise Comparisons
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1057-1066
Semi-Supervised Prediction-Constrained Topic Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1067-1076
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1077-1086
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1087-1096
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A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1097-1107
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1108-1116
Factor Analysis on a Graph
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1117-1126
Crowdclustering with Partition Labels
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1127-1136
Learning Structural Weight Uncertainty for Sequential Decision-Making
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1137-1146
Towards Memory-Friendly Deterministic Incremental Gradient Method
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1147-1156
Optimality of Approximate Inference Algorithms on Stable Instances
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1157-1166
Bayesian Approaches to Distribution Regression
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1167-1176
Submodularity on Hypergraphs: From Sets to Sequences
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1177-1184
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Provable Estimation of the Number of Blocks in Block Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1185-1194
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Differentially Private Regression with Gaussian Processes
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1195-1203
Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1204-1213
VAE with a VampPrior
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1214-1223
Structured Factored Inference for Probabilistic Programming
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1224-1232
A Generic Approach for Escaping Saddle points
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1233-1242
Policy Evaluation and Optimization with Continuous Treatments
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1243-1251
Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1252-1260
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1261-1269
Sparse Linear Isotonic Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1270-1279
Robustness of classifiers to uniform $\ell_p$ and Gaussian noise
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1280-1288
Nested CRP with Hawkes-Gaussian Processes
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1289-1298
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Sketching for Kronecker Product Regression and P-splines
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1299-1308
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1309-1317
Cheap Checking for Cloud Computing: Statistical Analysis via Annotated Data Streams
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1318-1326
Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1327-1336
Kernel Conditional Exponential Family
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1337-1346
Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go?
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1347-1355
Stochastic Zeroth-order Optimization in High Dimensions
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1356-1365
Teacher Improves Learning by Selecting a Training Subset
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1366-1375
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1376-1386
Robust Vertex Enumeration for Convex Hulls in High Dimensions
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1387-1396
Fast generalization error bound of deep learning from a kernel perspective
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1397-1406
Product Kernel Interpolation for Scalable Gaussian Processes
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1407-1416
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1417-1426
Scalable Generalized Dynamic Topic Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1427-1435
Bayesian Structure Learning for Dynamic Brain Connectivity
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1436-1446
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1447-1455
Frank-Wolfe Splitting via Augmented Lagrangian Method
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1456-1465
Learning linear structural equation models in polynomial time and sample complexity
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1466-1475
Convergence diagnostics for stochastic gradient descent with constant learning rate
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1476-1485
Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1486-1494
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1495-1504
Stochastic algorithms for entropy-regularized optimal transport problems
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1505-1512
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Plug-in Estimators for Conditional Expectations and Probabilities
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1513-1521
Factorized Recurrent Neural Architectures for Longer Range Dependence
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1522-1530
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On the Statistical Efficiency of Compositional Nonparametric Prediction
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1531-1539
Metrics for Deep Generative Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1540-1550
Combinatorial Penalties: Which structures are preserved by convex relaxations?
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1551-1560
Generalized Binary Search For Split-Neighborly Problems
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1561-1569
Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1570-1578
On Statistical Optimality of Variational Bayes
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1579-1588
Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1589-1598
Online Regression with Partial Information: Generalization and Linear Projection
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1599-1607
Learning Generative Models with Sinkhorn Divergences
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1608-1617
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1618-1627
Achieving the time of 1-NN, but the accuracy of k-NN
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1628-1636
Efficient Weight Learning in High-Dimensional Untied MLNs
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1637-1645
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Learning with Complex Loss Functions and Constraints
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1646-1654
Solving lp-norm regularization with tensor kernels
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1655-1663
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1664-1672
Multi-objective Contextual Bandit Problem with Similarity Information
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1673-1681
Turing: A Language for Flexible Probabilistic Inference
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1682-1690
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Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1691-1700
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1701-1710
Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1711-1721
Practical Bayesian optimization in the presence of outliers
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1722-1731
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Competing with Automata-based Expert Sequences
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1732-1740
Reducing Crowdsourcing to Graphon Estimation, Statistically
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1741-1750
Robust Locally-Linear Controllable Embedding
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1751-1759
Combinatorial Semi-Bandits with Knapsacks
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1760-1770
Structured Optimal Transport
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1771-1780
Graphical Models for Non-Negative Data Using Generalized Score Matching
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1781-1790
Asynchronous Doubly Stochastic Group Regularized Learning
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1791-1800
Convergence of Value Aggregation for Imitation Learning
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1801-1809
Inference in Sparse Graphs with Pairwise Measurements and Side Information
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1810-1818
Parallel and Distributed MCMC via Shepherding Distributions
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1819-1827
The Power Mean Laplacian for Multilayer Graph Clustering
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1828-1838
Adaptive Sampling for Coarse Ranking
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1839-1848
Comparison Based Learning from Weak Oracles
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1849-1858
The Binary Space Partitioning-Tree Process
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1859-1867
On denoising modulo 1 samples of a function
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1868-1876
Scalable Hash-Based Estimation of Divergence Measures
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1877-1885
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Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1886-1895
Online Continuous Submodular Maximization
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1896-1905
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1906-1913
Matrix-normal models for fMRI analysis
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1914-1923
The emergence of spectral universality in deep networks
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1924-1932
Spectral Algorithms for Computing Fair Support Vector Machines
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1933-1942
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Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1943-1951
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Nonparametric Bayesian sparse graph linear dynamical systems
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1952-1960
Proximity Variational Inference
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1961-1969
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Near-Optimal Machine Teaching via Explanatory Teaching Sets
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1970-1978
Learning Hidden Quantum Markov Models
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1979-1987
Labeled Graph Clustering via Projected Gradient Descent
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1988-1997
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Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:1998-2007
HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:2008-2017
Probability–Revealing Samples
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:2018-2026
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Derivative Free Optimization Via Repeated Classification
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:2027-2036
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Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:2037-2046
A Unified Dynamic Approach to Sparse Model Selection
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:2047-2055
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Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:2056-2064
Dimensionality Reduced $\ell^{0}$-Sparse Subspace Clustering
; Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84:2065-2074
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