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Volume 51: Artificial Intelligence and Statistics, 9-11 May 2016, Cadiz, Spain
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Editors: Arthur Gretton, Christian C. Robert
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1-9
Revealing Graph Bandits for Maximizing Local Influence
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:10-18
Convex Block-sparse Linear Regression with Expanders – Provably
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:19-27
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:28-37
Clamping Improves TRW and Mean Field Approximations
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:38-46
Tightness of LP Relaxations for Almost Balanced Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:47-55
Control Functionals for Quasi-Monte Carlo Integration
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:56-65
Probability Inequalities for Kernel Embeddings in Sampling without Replacement
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:66-74
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:75-83
A Robust-Equitable Copula Dependence Measure for Feature Selection
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:84-92
Random Forest for the Contextual Bandit Problem
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:93-101
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:102-110
Learning Sparse Additive Models with Interactions in High Dimensions
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:111-120
Bipartite Correlation Clustering: Maximizing Agreements
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:121-129
Breaking Sticks and Ambiguities with Adaptive Skip-gram
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:130-138
Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:139-148
Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:149-158
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:159-167
Scalable Gaussian Process Classification via Expectation Propagation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:168-176
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:177-185
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On the Reducibility of Submodular Functions
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:186-194
Accelerated Stochastic Gradient Descent for Minimizing Finite Sums
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:195-203
Fast Convergence of Online Pairwise Learning Algorithms
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:204-212
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Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:213-221
Generalized Ideal Parent (GIP): Discovering non-Gaussian Hidden Variables
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:222-230
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:231-239
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Non-stochastic Best Arm Identification and Hyperparameter Optimization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:240-248
A Linearly-Convergent Stochastic L-BFGS Algorithm
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:249-258
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No Regret Bound for Extreme Bandits
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:259-267
Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:268-276
Online Learning to Rank with Feedback at the Top
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:277-285
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Survey Propagation beyond Constraint Satisfaction Problems
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:286-295
Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:296-304
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CRAFT: ClusteR-specific Assorted Feature selecTion
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:305-313
Time-Varying Gaussian Process Bandit Optimization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:314-323
Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:324-332
Bayesian Markov Blanket Estimation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:333-341
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:342-350
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Unsupervised Ensemble Learning with Dependent Classifiers
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:351-360
Multi-Level Cause-Effect Systems
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:361-369
Deep Kernel Learning
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:370-378
Nearly Optimal Classification for Semimetrics
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:379-388
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Latent Point Process Allocation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:389-397
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:398-407
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Bayesian Generalised Ensemble Markov Chain Monte Carlo
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:408-416
A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:417-425
Optimal Statistical and Computational Rates for One Bit Matrix Completion
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:426-434
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PAC-Bayesian Bounds based on the Rényi Divergence
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:435-444
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Simple and Scalable Constrained Clustering: a Generalized Spectral Method
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:445-454
Geometry Aware Mappings for High Dimensional Sparse Factors
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:455-463
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:464-472
Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:473-481
Quantization based Fast Inner Product Search
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:482-490
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An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:491-499
Learning Structured Low-Rank Representation via Matrix Factorization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:500-509
A PAC RL Algorithm for Episodic POMDPs
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:510-518
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Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:519-528
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Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:528-537
Graph Connectivity in Noisy Sparse Subspace Clustering
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:538-546
The Nonparametric Kernel Bayes Smoother
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:547-555
Universal Models of Multivariate Temporal Point Processes
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:556-563
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:573-581
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Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:582-590
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Enumerating Equivalence Classes of Bayesian Networks using EC Graphs
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:591-599
Low-Rank and Sparse Structure Pursuit via Alternating Minimization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:600-609
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NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:610-619
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:620-629
Fast Dictionary Learning with a Smoothed Wasserstein Loss
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:630-638
New Resistance Distances with Global Information on Large Graphs
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:639-647
Batch Bayesian Optimization via Local Penalization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:648-657
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Nonparametric Budgeted Stochastic Gradient Descent
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:654-572
Learning Relationships between Data Obtained Independently
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:658-666
Fast and Scalable Structural SVM with Slack Rescaling
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:667-675
Probabilistic Approximate Least-Squares
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:676-684
Approximate Inference Using DC Programming For Collective Graphical Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:685-693
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Sequential Inference for Deep Gaussian Process
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:694-703
Variational Tempering
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:704-712
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:713-722
Scalable MCMC for Mixed Membership Stochastic Blockmodels
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:723-731
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Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:732-740
A Deep Generative Deconvolutional Image Model
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:741-750
Distributed Multi-Task Learning
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:751-760
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:761-769
Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:770-779
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:780-789
GLASSES: Relieving The Myopia Of Bayesian Optimisation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:790-799
Stochastic Variational Inference for the HDP-HMM
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:800-808
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Stochastic Neural Networks with Monotonic Activation Functions
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:809-818
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(Bandit) Convex Optimization with Biased Noisy Gradient Oracles
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:819-828
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Variational Gaussian Copula Inference
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:829-838
Low-Rank Approximation of Weighted Tree Automata
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:839-847
Accelerating Online Convex Optimization via Adaptive Prediction
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:848-856
Scalable geometric density estimation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:857-865
Model-based Co-clustering for High Dimensional Sparse Data
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:866-874
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:875-883
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:884-892
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:893-901
Semi-Supervised Learning with Adaptive Spectral Transform
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:902-910
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Pseudo-Marginal Slice Sampling
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:911-919
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How to Learn a Graph from Smooth Signals
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:920-929
Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:930-938
Pareto Front Identification from Stochastic Bandit Feedback
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:939-947
Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:948-956
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AdaDelay: Delay Adaptive Distributed Stochastic Optimization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:957-965
Exponential Stochastic Cellular Automata for Massively Parallel Inference
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:966-975
Globally Sparse Probabilistic PCA
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:976-984
Provable Bayesian Inference via Particle Mirror Descent
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:985-994
Unsupervised Feature Selection by Preserving Stochastic Neighbors
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:995-1003
Improved Learning Complexity in Combinatorial Pure Exploration Bandits
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1004-1012
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1013-1021
Optimization as Estimation with Gaussian Processes in Bandit Settings
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1022-1031
A Convex Surrogate Operator for General Non-Modular Loss Functions
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1032-1041
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Inference for High-dimensional Exponential Family Graphical Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1042-1050
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Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1051-1060
Fitting Spectral Decay with the k-Support Norm
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1061-1069
Early Stopping as Nonparametric Variational Inference
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1070-1077
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Bayesian Nonparametric Kernel-Learning
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1078-1086
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Tight Variational Bounds via Random Projections and I-Projections
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1087-1095
Bethe Learning of Graphical Models via MAP Decoding
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1096-1104
Determinantal Regularization for Ensemble Variable Selection
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1105-1113
Scalable and Sound Low-Rank Tensor Learning
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1114-1123
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1124-1132
Topic-Based Embeddings for Learning from Large Knowledge Graphs
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1133-1141
Consistently Estimating Markov Chains with Noisy Aggregate Data
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1142-1150
Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1151-1158
Improper Deep Kernels
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1159-1167
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Unbounded Bayesian Optimization via Regularization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1168-1176
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Non-Gaussian Component Analysis with Log-Density Gradient Estimation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1177-1185
Online Learning with Noisy Side Observations
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1186-1194
Black-Box Policy Search with Probabilistic Programs
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1195-1204
Efficient Bregman Projections onto the Permutahedron and Related Polytopes
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1205-1213
On Searching for Generalized Instrumental Variables
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1214-1222
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1223-1231
Controlling Bias in Adaptive Data Analysis Using Information Theory
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1232-1240
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1241-1249
Graph Sparsification Approaches for Laplacian Smoothing
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1250-1259
Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1260-1269
Robust Covariate Shift Regression
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1270-1279
On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1280-1289
Towards Stability and Optimality in Stochastic Gradient Descent
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1290-1298
Communication Efficient Distributed Agnostic Boosting
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1299-1307
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Private Causal Inference
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1308-1317
Parallel Markov Chain Monte Carlo via Spectral Clustering
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1318-1327
Efficient Sampling for k-Determinantal Point Processes
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1328-1337
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A Fast and Reliable Policy Improvement Algorithm
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1338-1346
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1347-1355
Active Learning Algorithms for Graphical Model Selection
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1356-1364
Streaming Kernel Principal Component Analysis
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1365-1374
Back to the Future: Radial Basis Function Networks Revisited
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1375-1383
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1384-1393
Loss Bounds and Time Complexity for Speed Priors
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1394-1402
NYTRO: When Subsampling Meets Early Stopping
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1403-1411
Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1412-1420
Spectral M-estimation with Applications to Hidden Markov Models
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1421-1430
Chained Gaussian Processes
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1431-1440
Multiresolution Matrix Compression
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1441-1449
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Supervised Neighborhoods for Distributed Nonparametric Regression
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1450-1459
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1460-1468
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1469-1477
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Mondrian Forests for Large-Scale Regression when Uncertainty Matters
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1478-1487
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1488-1496
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Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1497-1505
Discriminative Structure Learning of Arithmetic Circuits
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1506-1514
One Scan 1-Bit Compressed Sensing
; Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, PMLR 51:1515-1523
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