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Volume 54: Artificial Intelligence and Statistics, 20-22 April 2017, Fort Lauderdale, FL, USA
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Editors: Aarti Singh, Jerry Zhu
Minimax Gaussian Classification & Clustering
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1-9
Conditions beyond treewidth for tightness of higher-order LP relaxations
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:10-18
Large-Scale Data-Dependent Kernel Approximation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:19-27
Clustering from Multiple Uncertain Experts
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:28-36
Online Nonnegative Matrix Factorization with General Divergences
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:37-45
ASAGA: Asynchronous Parallel SAGA
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:46-54
Lower Bounds on Active Learning for Graphical Model Selection
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:55-64
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:65-74
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Sparse Accelerated Exponential Weights
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:75-82
On the Learnability of Fully-Connected Neural Networks
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:83-91
An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:92-100
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:101-110
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:111-120
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:121-129
Consistent and Efficient Nonparametric Different-Feature Selection
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:130-138
Annular Augmentation Sampling
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:139-147
Less than a Single Pass: Stochastically Controlled Stochastic Gradient
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:148-156
Learning Time Series Detection Models from Temporally Imprecise Labels
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:157-165
Learning Cost-Effective and Interpretable Treatment Regimes
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:166-175
Linear Thompson Sampling Revisited
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:176-184
A Sub-Quadratic Exact Medoid Algorithm
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:185-193
Minimax Density Estimation for Growing Dimension
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:194-203
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Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:204-212
Learning Theory for Conditional Risk Minimization
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:213-222
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:223-231
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:232-241
Distance Covariance Analysis
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:242-251
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:252-260
Regret Bounds for Lifelong Learning
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:261-269
Poisson intensity estimation with reproducing kernels
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:270-279
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:280-288
Removing Phase Transitions from Gibbs Measures
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:289-297
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Performance Bounds for Graphical Record Linkage
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:298-306
Regret Bounds for Transfer Learning in Bayesian Optimisation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:307-315
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Scaling Submodular Maximization via Pruned Submodularity Graphs
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:316-324
Localized Lasso for High-Dimensional Regression
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:325-333
Encrypted Accelerated Least Squares Regression
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:334-343
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Random Consensus Robust PCA
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:344-352
Gray-box Inference for Structured Gaussian Process Models
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:353-361
Frank-Wolfe Algorithms for Saddle Point Problems
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:362-371
A Framework for Optimal Matching for Causal Inference
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:372-381
Quantifying the accuracy of approximate diffusions and Markov chains
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:382-391
Stochastic Rank-1 Bandits
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:392-401
On the Troll-Trust Model for Edge Sign Prediction in Social Networks
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:402-411
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Online Optimization of Smoothed Piecewise Constant Functions
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:412-420
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Combinatorial Topic Models using Small-Variance Asymptotics
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:421-429
ConvNets with Smooth Adaptive Activation Functions for Regression
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:430-439
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Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:440-449
Efficient Rank Aggregation via Lehmer Codes
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:450-459
Nonlinear ICA of Temporally Dependent Stationary Sources
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:460-469
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:470-478
Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:479-488
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:489-498
Asymptotically exact inference in differentiable generative models
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:499-508
Decentralized Collaborative Learning of Personalized Models over Networks
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:509-517
Contextual Bandits with Latent Confounders: An NMF Approach
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:518-527
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:528-536
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:537-546
Fast column generation for atomic norm regularization
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:547-556
Bayesian Hybrid Matrix Factorisation for Data Integration
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:557-566
Co-Occurring Directions Sketching for Approximate Matrix Multiply
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:567-575
Exploration-Exploitation in MDPs with Options
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:576-584
Local Perturb-and-MAP for Structured Prediction
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:585-594
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Gradient Boosting on Stochastic Data Streams
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:595-603
Online Learning and Blackwell Approachability with Partial Monitoring: Optimal Convergence Rates
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:604-613
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:614-622
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:623-631
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:632-641
High-dimensional Time Series Clustering via Cross-Predictability
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:642-651
Minimax Approach to Variable Fidelity Data Interpolation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:652-661
Data Driven Resource Allocation for Distributed Learning
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:662-671
Learning Nonparametric Forest Graphical Models with Prior Information
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:672-680
Sparse Randomized Partition Trees for Nearest Neighbor Search
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:681-689
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Horde of Bandits using Gaussian Markov Random Fields
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:690-699
Random projection design for scalable implicit smoothing of randomly observed stochastic processes
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:700-708
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Trading off Rewards and Errors in Multi-Armed Bandits
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:709-717
Adaptive ADMM with Spectral Penalty Parameter Selection
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:718-727
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The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:728-737
Dynamic Collaborative Filtering With Compound Poisson Factorization
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:738-747
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Rank Aggregation and Prediction with Item Features
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:748-756
Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:757-766
Information-theoretic limits of Bayesian network structure learning
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:767-775
Markov Chain Truncation for Doubly-Intractable Inference
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:776-784
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Regression Uncertainty on the Grassmannian
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:785-793
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Attributing Hacks
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:794-802
Unsupervised Sequential Sensor Acquisition
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:803-811
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:812-821
Hierarchically-partitioned Gaussian Process Approximation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:822-831
Scalable Learning of Non-Decomposable Objectives
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:832-840
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CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:841-850
Comparison-Based Nearest Neighbor Search
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:851-859
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A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:860-868
Faster Coordinate Descent via Adaptive Importance Sampling
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:869-877
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:878-887
Hit-and-Run for Sampling and Planning in Non-Convex Spaces
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:888-895
DP-EM: Differentially Private Expectation Maximization
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:896-904
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:905-913
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:914-922
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:923-932
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Minimax-optimal semi-supervised regression on unknown manifolds
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:933-942
Improved Strongly Adaptive Online Learning using Coin Betting
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:943-951
Black-box Importance Sampling
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:952-961
Fairness Constraints: Mechanisms for Fair Classification
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:962-970
Frequency Domain Predictive Modelling with Aggregated Data
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:971-980
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:981-990
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A New Class of Private Chi-Square Hypothesis Tests
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:991-1000
A Learning Theory of Ranking Aggregation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1001-1010
Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1011-1019
Structured adaptive and random spinners for fast machine learning computations
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1020-1029
Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1030-1038
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Learning Optimal Interventions
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1039-1047
A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1048-1056
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Scalable Variational Inference for Super Resolution Microscopy
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1057-1065
Linear Convergence of Stochastic Frank Wolfe Variants
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1066-1074
Sequential Graph Matching with Sequential Monte Carlo
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1075-1084
Fast rates with high probability in exp-concave statistical learning
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1085-1093
Generalization Error of Invariant Classifiers
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1094-1103
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Learning with Feature Feedback: from Theory to Practice
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1104-1113
Optimistic Planning for the Stochastic Knapsack Problem
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1114-1122
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted $L_1$-norms
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1123-1131
Tracking Objects with Higher Order Interactions via Delayed Column Generation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1132-1140
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Belief Propagation in Conditional RBMs for Structured Prediction
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1141-1149
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1150-1158
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Finite-sum Composition Optimization via Variance Reduced Gradient Descent
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1159-1167
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1168-1177
Communication-efficient Distributed Sparse Linear Discriminant Analysis
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1178-1187
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Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1188-1196
Modal-set estimation with an application to clustering
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1197-1206
Compressed Least Squares Regression revisited
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1207-1215
Diverse Neural Network Learns True Target Functions
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1216-1224
Local Group Invariant Representations via Orbit Embeddings
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1225-1235
Relativistic Monte Carlo
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1236-1245
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Thompson Sampling for Linear-Quadratic Control Problems
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1246-1254
Fast Classification with Binary Prototypes
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1255-1263
Prediction Performance After Learning in Gaussian Process Regression
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1264-1272
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Communication-Efficient Learning of Deep Networks from Decentralized Data
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1273-1282
Learning Structured Weight Uncertainty in Bayesian Neural Networks
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1283-1292
Signal-based Bayesian Seismic Monitoring
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1293-1301
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Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1302-1310
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Discovering and Exploiting Additive Structure for Bayesian Optimization
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1311-1319
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Lipschitz Density-Ratios, Structured Data, and Data-driven Tuning
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1320-1328
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Spatial Decompositions for Large Scale SVMs
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1329-1337
Inference Compilation and Universal Probabilistic Programming
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1338-1348
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Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1349-1357
Information Projection and Approximate Inference for Structured Sparse Variables
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1358-1366
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1367-1374
Linking Micro Event History to Macro Prediction in Point Process Models
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1375-1384
Initialization and Coordinate Optimization for Multi-way Matching
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1385-1393
Optimal Recovery of Tensor Slices
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1394-1402
Efficient Online Multiclass Prediction on Graphs via Surrogate Losses
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1403-1411
Distribution of Gaussian Process Arc Lengths
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1412-1420
Distributed Adaptive Sampling for Kernel Matrix Approximation
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1421-1429
Binary and Multi-Bit Coding for Stable Random Projections
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1430-1438
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Spectral Methods for Correlated Topic Models
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1439-1447
Label Filters for Large Scale Multilabel Classification
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1448-1457
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Learning from Conditional Distributions via Dual Embeddings
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1458-1467
Sequential Multiple Hypothesis Testing with Type I Error Control
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1468-1476
A Maximum Matching Algorithm for Basis Selection in Spectral Learning
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1477-1485
Value-Aware Loss Function for Model-based Reinforcement Learning
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1486-1494
Convergence Rate of Stochastic k-means
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1495-1503
Automated Inference with Adaptive Batches
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1504-1513
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1514-1522
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1523-1531
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1532-1540
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1541-1549
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1550-1559
Scalable Greedy Feature Selection via Weak Submodularity
; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1560-1568
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