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Editors: Geoffrey Gordon, David Dunson, Miroslav Dudík
Preface
; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:1-2
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Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables
Robert Tillman, Peter Spirtes; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:3-15
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Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables”
Jiji Zhang, Ricardo Silva; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:16-18
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Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin, Robert Schapire; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:19-26
Discussion of “Contextual Bandit Algorithms with Supervised Learning Guarantees”
Brendan McMahan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:27-28
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The Neural Autoregressive Distribution Estimator
Hugo Larochelle, Iain Murray; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:29-37
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Discussion of “The Neural Autoregressive Distribution Estimator”
Yoshua Bengio; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:38-39
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Learning Scale Free Networks by Reweighted $\ell_1$ regularization
Qiang Liu, Alexander Ihler; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:40-48
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Discussion of “Learning Scale Free Networks by Reweighted $\ell_1$ regularization”
Deepak Agarwal; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:49-50
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Spectral Dimensionality Reduction via Maximum Entropy
Neil Lawrence; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:51-59
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Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”
Laurens van der Maaten; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:60-62
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A conditional game for comparing approximations
Frederik Eaton; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:63-71
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Discussion of “A conditional game for comparing approximations”
Vincent Conitzer; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:72-73
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The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
John Paisley, Chong Wang, David Blei; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:74-82
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Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling”
Frank Wood; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:83-84
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Generative Kernels for Exponential Families
Arvind Agarwal, Hal Daumé III; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:85-92
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Linear-Time Estimators for Propensity Scores
Deepak Agarwal, Lihong Li, Alexander Smola; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:93-100
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Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alex Smola, Eric Xing; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:101-109
Polytope samplers for inference in ill-posed inverse problems
Edoardo Airoldi, Bertrand Haas; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:110-118
Dynamic Policy Programming with Function Approximation
Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:119-127
Statistical Optimization of Non-Negative Matrix Factorization
Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:128-136
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Unsupervised Supervised Learning II: Margin-Based Classification without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:137-145
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Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm
Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:146-154
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Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach
Gowtham Bellala, Suresh Bhavnani, Clayton Scott; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:155-163
Deep Learners Benefit More from Out-of-Distribution Examples
Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger–Lewandowski, Thomas Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:164-172
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Domain Adaptation with Coupled Subspaces
John Blitzer, Sham Kakade, Dean Foster; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:173-181
Relative Entropy Inverse Reinforcement Learning
Abdeslam Boularias, Jens Kober, Jan Peters; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:182-189
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Switch-Reset Models : Exact and Approximate Inference
Chris Bracegirdle, David Barber; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:190-198
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models
Edward Challis, David Barber; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:199-207
Contextual Bandits with Linear Payoff Functions
Wei Chu, Lihong Li, Lev Reyzin, Robert Schapire; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:208-214
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An Analysis of Single-Layer Networks in Unsupervised Feature Learning
Adam Coates, Andrew Ng, Honglak Lee; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:215-223
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Deep Learning for Efficient Discriminative Parsing
Ronan Collobert; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:224-232
A Spike and Slab Restricted Boltzmann Machine
Aaron Courville, James Bergstra, Yoshua Bengio; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:233-241
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Optimal and Robust Price Experimentation: Learning by Lottery
Christopher Dance, Onno Zoeter; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:242-250
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Bagged Structure Learning of Bayesian Network
Gal Elidan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:251-259
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Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Brian Eriksson, Gautam Dasarathy, Aarti Singh, Rob Nowak; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:260-268
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A novel greedy algorithm for Nyström approximation
Ahmed Farahat, Ali Ghodsi, Mohamed Kamel; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:269-277
Revisiting MAP Estimation, Message Passing and Perfect Graphs
James Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:278-286
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A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
James Foulds, Christopher DuBois, Arthur Asuncion, Carter Butts, Padhraic Smyth; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:287-295
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Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
Rahul Garg, Rohit Khandekar; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:296-304
Learning from positive and unlabeled examples by enforcing statistical significance
Pierre Geurts; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:305-314
Deep Sparse Rectifier Neural Networks
Xavier Glorot, Antoine Bordes, Yoshua Bengio; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:315-323
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Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:324-332
Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur Parikh, Le Song, Eric Xing; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:333-341
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
Qirong Ho, Le Song, Eric Xing; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:342-350
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
Sue Ann Hong, Geoffrey Gordon; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:351-360
Fast $b$-matching via Sufficient Selection Belief Propagation
Bert Huang, Tony Jebara; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:361-369
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Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain, John Shawe–Taylor; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:370-377
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On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki, Sujay Sanghavi; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:378-387
Convergent Decomposition Solvers for Tree-reweighted Free Energies
Jeremy Jancsary, Gerald Matz; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:388-398
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Convex envelopes of complexity controlling penalties: the case against premature envelopment
Vladimir Jojic, Suchi Saria, Daphne Koller; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:399-406
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On Time Varying Undirected Graphs
Mladen Kolar, Eric P. Xing; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:407-415
Approximate inference for the loss-calibrated Bayesian
Simon Lacoste–Julien, Ferenc Huszár, Zoubin Ghahramani; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:416-424
Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:425-433
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Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
Bin Li, Steven C.H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:434-442
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Bayesian Hierarchical Cross-Clustering
Dazhuo Li, Patrick Shafto; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:443-451
Group Orthogonal Matching Pursuit for Logistic Regression
Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:452-460
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A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
Hongtao Lu, Xianzhong Long, Jingyuan Lv; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:461-469
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Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
Heng Luo, Ruimin Shen, Changyong Niu, Carsten Ullrich; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:470-478
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Hidden-Unit Conditional Random Fields
Laurens van der Maaten, Max Welling, Lawrence Saul; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:479-488
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Learning mixtures of Gaussians with maximum-a-posteriori oracle
Satyaki Mahalanabis; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:489-497
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CAKE: Convex Adaptive Kernel Density Estimation
Ravi Sastry Ganti Mahapatruni, Alexander Gray; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:498-506
Online Learning of Structured Predictors with Multiple Kernels
Andre Filipe Torres Martins, Noah Smith, Eric Xing, Pedro Aguiar, Mario Figueiredo; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:507-515
Estimating beta-mixing coefficients
Daniel McDonald, Cosma Shalizi, Mark Schervish; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:516-524
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Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization
Brendan McMahan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:525-533
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Can matrix coherence be efficiently and accurately estimated?
Mehryar Mohri, Ameet Talwalkar; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:534-542
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TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Ramesh Nallapati, Daniel McFarland, Christopher Manning; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:543-551
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Dimensionality Reduction for Spectral Clustering
Donglin Niu, Jennifer Dy, Michael I. Jordan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:552-560
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Maximum Volume Clustering
Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:561-569
Adaptive Bandits: Towards the best history-dependent strategy
Maillard Odalric, Rémi Munos; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:570-578
Generative Modeling for Maximizing Precision and Recall in Information Visualization
Jaakko Peltonen, Samuel Kaski; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:579-587
Faithfulness in Chain Graphs: The Gaussian Case
Jose M. Peña; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:588-599
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Directional Statistics on Permutations
Sergey M. Plis, Stephen McCracken, Terran Lane, Vince D. Calhoun; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:600-608
On the Estimation of $\alpha$-Divergences
Barnabas Poczos, Jeff Schneider; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:609-617
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On NDCG Consistency of Listwise Ranking Methods
Pradeep Ravikumar, Ambuj Tewari, Eunho Yang; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:618-626
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stephane Ross, Geoffrey Gordon, Drew Bagnell; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:627-635
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Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
Ankan Saha, Ambuj Tewari; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:636-642
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Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:643-651
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Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Matthias Seeger, Hannes Nickisch; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:652-660
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Spectral Clustering on a Budget
Ohad Shamir, Naftali Tishby; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:661-669
Mixed Cumulative Distribution Networks
Ricardo Silva, Charles Blundell, Yee Whye Teh; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:670-678
Asymptotic Theory for Linear-Chain Conditional Random Fields
Mathieu Sinn, Pascal Poupart; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:679-687
Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening
Ning Situ, Xiaojing Yuan, George Zouridakis; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:688-697
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher, Andrew Maas, Christopher Manning; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:698-706
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Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:707-715
Machine Learning Markets
Amos Storkey; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:716-724
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Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
Veselin Stoyanov, Alexander Ropson, Jason Eisner; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:725-733
Estimating Probabilities in Recommendation Systems
Mingxuan Sun, Guy Lebanon, Paul Kidwell; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:734-742
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Active Boosted Learning (ActBoost)
Kirill Trapeznikov, Venkatesh Saligrama, David Castanon; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:743-751
Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John Paisley, David M. Blei; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:752-760
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Information Theoretical Clustering via Semidefinite Programming
Meihong Wang, Fei Sha; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:761-769
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Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
David Wingate, Andreas Stuhlmueller, Noah Goodman; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:770-778
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Relational Learning with One Network: An Asymptotic Analysis
Rongjing Xiang, Jennifer Neville; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:779-788
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Hierarchical Probabilistic Models for Group Anomaly Detection
Liang Xiong, Barnabás Póczos, Jeff Schneider, Andrew Connolly, Jake VanderPlas; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:789-797
Multicore Gibbs Sampling in Dense, Unstructured Graphs
Tianbing Xu, Alexander Ihler; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:798-806
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Cross-Domain Object Matching with Model Selection
Makoto Yamada, Masashi Sugiyama; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:807-815
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The Sample Complexity of Self-Verifying Bayesian Active Learning
Liu Yang, Steve Hanneke, Jaime Carbonell; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:816-822
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Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality
Shuang–Hong Yang, Steven P. Crain, Hongyuan Zha; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:823-831
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Efficient variable selection in support vector machines via the alternating direction method of multipliers
Gui–Bo Ye, Yifei Chen, Xiaohui Xie; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:832-840
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A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems
Xiao–Tong Yuan, Shuicheng Yan; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:841-854
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An Instantiation-Based Theorem Prover for First-Order Programming
Erik Zawadzki, Geoffrey Gordon, Andre Platzer; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:855-863
Generalization Bound for Infinitely Divisible Empirical Process
Chao Zhang, Dacheng Tao; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:864-872
Multi-Label Output Codes using Canonical Correlation Analysis
Yi Zhang, Jeff Schneider; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:873-882
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Dependent Hierarchical Beta Process for Image Interpolation and Denoising
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David Dunson, Lawrence Carin; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:883-891
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Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou, Mikhail Belkin; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:892-900
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Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
Xueyuan Zhou, Nathan Srebro; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:901-908
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Two-Layer Multiple Kernel Learning
Jinfeng Zhuang, Ivor W. Tsang, Steven C.H. Hoi; Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, PMLR 15:909-917
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