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Editors: Aarti Singh, Jerry Zhu
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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
Mark Rowland, Aldo Pacchiano, Adrian Weller; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:10-18
Large-Scale Data-Dependent Kernel Approximation
Catalin Ionescu, Alin Popa, Cristian Sminchisescu; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:19-27
Clustering from Multiple Uncertain Experts
Yale Chang, Junxiang Chen, Michael Cho, Peter Castaldi, Ed Silverman, Jennifer Dy; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:28-36
Online Nonnegative Matrix Factorization with General Divergences
Renbo Zhao, Vincent Tan, Huan Xu; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:37-45
ASAGA: Asynchronous Parallel SAGA
Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:46-54
Lower Bounds on Active Learning for Graphical Model Selection
Jonathan Scarlett, Volkan Cevher; 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
Dohyung Park, Anastasios Kyrillidis, Constantine Carmanis, Sujay Sanghavi; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:65-74
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Sparse Accelerated Exponential Weights
Pierre Gaillard, Olivier Wintenberger; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:75-82
On the Learnability of Fully-Connected Neural Networks
Yuchen Zhang, Jason Lee, Martin Wainwright, Michael I. Jordan; 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
Ibrahim Alabdulmohsin; 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
Lijie Chen, Jian Li, Mingda Qiao; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:101-110
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
Andrew An Bian, Baharan Mirzasoleiman, Joachim Buhmann, Andreas Krause; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:111-120
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:121-129
Consistent and Efficient Nonparametric Different-Feature Selection
Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa, Takafumi Ono, Ryo Okamoto, Shigeki Takeuchi; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:130-138
Annular Augmentation Sampling
Francois Fagan, Jalaj Bhandari, John Cunningham; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:139-147
Less than a Single Pass: Stochastically Controlled Stochastic Gradient
Lihua Lei, Michael Jordan; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:148-156
Learning Time Series Detection Models from Temporally Imprecise Labels
Roy Adams, Ben Marlin; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:157-165
Learning Cost-Effective and Interpretable Treatment Regimes
Himabindu Lakkaraju, Cynthia Rudin; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:166-175
Linear Thompson Sampling Revisited
Marc Abeille, Alessandro Lazaric; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:176-184
A Sub-Quadratic Exact Medoid Algorithm
James Newling, Francois Fleuret; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:185-193
Minimax Density Estimation for Growing Dimension
Daniel McDonald; 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
Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:204-212
Learning Theory for Conditional Risk Minimization
Alexander Zimin, Christoph Lampert; 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
Yuxin Chen, Hamed Hassani, Andreas Krause; 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
Julien Perolat, Florian Strub, Bilal Piot, Olivier Pietquin; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:232-241
Distance Covariance Analysis
Benjamin Cowley, Joao Semedo, Amin Zandvakili, Matthew Smith, Adam Kohn, Byron Yu; 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
Sohail Bahmani, Justin Romberg; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:252-260
Regret Bounds for Lifelong Learning
Pierre Alquier, The Tien Mai, Massimiliano Pontil; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:261-269
Poisson intensity estimation with reproducing kernels
Seth Flaxman, Yee Whye Teh, Dino Sejdinovic; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:270-279
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation
Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:280-288
Removing Phase Transitions from Gibbs Measures
Ian Fellows, Mark Handcock; 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
Rebecca C. Steorts, Mattew Barnes, Willie Neiswanger; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:298-306
Regret Bounds for Transfer Learning in Bayesian Optimisation
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh; 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
Tianyi Zhou, Hua Ouyang, Jeff Bilmes, Yi Chang, Carlos Guestrin; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:316-324
Localized Lasso for High-Dimensional Regression
Makoto Yamada, Takeuchi Koh, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:325-333
Encrypted Accelerated Least Squares Regression
Pedro Esperanca, Louis Aslett, Chris Holmes; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:334-343
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Random Consensus Robust PCA
Daniel Pimentel-Alarcon, Robert Nowak; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:344-352
Gray-box Inference for Structured Gaussian Process Models
Pietro Galliani, Amir Dezfouli, Edwin Bonilla, Novi Quadrianto; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:353-361
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:362-371
A Framework for Optimal Matching for Causal Inference
Nathan Kallus; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:372-381
Quantifying the accuracy of approximate diffusions and Markov chains
Jonathan Huggins, James Zou; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:382-391
Stochastic Rank-1 Bandits
Sumeet Katariya, Branislav Kveton, Csaba Szepesvari, Claire Vernade, Zheng Wen; 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
Géraud Le Falher, Nicolo Cesa-Bianchi, Claudio Gentile, Fabio Vitale; 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
Vincent Cohen-Addad, Varun Kanade; 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
Ke Jiang, Suvrit Sra, Brian Kulis; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:421-429
ConvNets with Smooth Adaptive Activation Functions for Regression
Le Hou, Dimitris Samaras, Tahsin Kurc, Yi Gao, Joel Saltz; 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
Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:440-449
Efficient Rank Aggregation via Lehmer Codes
Pan Li, Arya Mazumdar, Olgica Milenkovic; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:450-459
Nonlinear ICA of Temporally Dependent Stationary Sources
Aapo Hyvarinen, Hiroshi Morioka; 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
Atsushi Nitanda, Taiji Suzuki; 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
Prateek Jain, Chi Jin, Sham Kakade, Praneeth Netrapalli; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:479-488
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms
Christian Naesseth, Francisco Ruiz, Scott Linderman, David Blei; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:489-498
Asymptotically exact inference in differentiable generative models
Matthew Graham, Amos Storkey; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:499-508
Decentralized Collaborative Learning of Personalized Models over Networks
Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:509-517
Contextual Bandits with Latent Confounders: An NMF Approach
Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alex Dimakis, Sanjay Shakkottai; 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
Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:528-536
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
Mina Ashizawa, Hiroaki Sasaki, Tomoya Sakai, Masashi Sugiyama; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:537-546
Fast column generation for atomic norm regularization
Marina Vinyes, Guillaume Obozinski; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:547-556
Bayesian Hybrid Matrix Factorisation for Data Integration
Thomas Brouwer, Pietro Lio; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:557-566
Co-Occurring Directions Sketching for Approximate Matrix Multiply
Youssef Mroueh, Etienne Marcheret, Vaibahava Goel; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:567-575
Exploration-Exploitation in MDPs with Options
Ronan Fruit, Alessandro Lazaric; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:576-584
Local Perturb-and-MAP for Structured Prediction
Gedas Bertasius, Qiang Liu, Lorenzo Torresani, Jianbo Shi; 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
Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, Andrew Bagnell; 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
Joon Kwon, Vianney Perchet; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:604-613
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)
Miaoyan Wang, Yun Song; 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
Meelis Kull, Telmo Silva Filho, Peter Flach; 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
Feras Saad, Vikash Mansinghka; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:632-641
High-dimensional Time Series Clustering via Cross-Predictability
Dezhi Hong, Quanquan Gu, Kamin Whitehouse; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:642-651
Minimax Approach to Variable Fidelity Data Interpolation
Alexey Zaytsev, Evgeny Burnaev; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:652-661
Data Driven Resource Allocation for Distributed Learning
Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Nina Balcan, Alex Smola; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:662-671
Learning Nonparametric Forest Graphical Models with Prior Information
Yuancheng Zhu, Zhe Liu, Siqi Sun; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:672-680
Sparse Randomized Partition Trees for Nearest Neighbor Search
Kaushik Sinha, Omid Keivani; 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
Sharan Vaswani, Mark Schmidt, Laks Lakshmanan; 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
Francois Belletti, Evan Sparks, Alexandre Bayen, Joseph Gonzalez; 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
Akram Erraqabi, Alessandro Lazaric, Michal Valko, Emma Brunskill, Yun-En Liu; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:709-717
Adaptive ADMM with Spectral Penalty Parameter Selection
Zheng Xu, Mario Figueiredo, Tom Goldstein; 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
Tor Lattimore, Csaba Szepesvari; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:728-737
Dynamic Collaborative Filtering With Compound Poisson Factorization
Ghassen Jerfel, Mehmet Basbug, Barbara Engelhardt; 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
Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit Dhillon; 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
Chengming Jiang, Huiqing Xie, Zhaojun Bai; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:757-766
Information-theoretic limits of Bayesian network structure learning
Asish Ghoshal, Jean Honorio; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:767-775
Markov Chain Truncation for Doubly-Intractable Inference
Colin Wei, Iain Murray; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:776-784
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Regression Uncertainty on the Grassmannian
Yi Hong, Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:785-793
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Attributing Hacks
Ziqi Liu, Alex Smola, Kyle Soska, Yu-Xiang Wang, Qinghua Zheng; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:794-802
Unsupervised Sequential Sensor Acquisition
Manjesh Hanawal, Csaba Szepesvari, Venkatesh Saligrama; 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
Songtao Lu, Mingyi Hong, Zhengdao Wang; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:812-821
Hierarchically-partitioned Gaussian Process Approximation
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:822-831
Scalable Learning of Non-Decomposable Objectives
Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan; 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
Tianfan Fu, Zhihua Zhang; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:841-850
Comparison-Based Nearest Neighbor Search
Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg; 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
Francesco Locatello, Rajiv Khanna, Michael Tschannen, Martin Jaggi; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:860-868
Faster Coordinate Descent via Adaptive Importance Sampling
Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi; 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
Mohammad Khan, Wu Lin; 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
Yasin Abbasi-Yadkori, Peter Bartlett, Victor Gabillon, Alan Malek; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:888-895
DP-EM: Differentially Private Expectation Maximization
Mijung Park, James Foulds, Kamalika Choudhary, Max Welling; 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
Juho Piironen, Aki Vehtari; 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
Scott Linderman, Matthew Johnson, Andrew Miller, Ryan Adams, David Blei, Liam Paninski; 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
Pan Xu, Tingting Zhang, Quanquan Gu; 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
Amit Moscovich, Ariel Jaffe, Nadler Boaz; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:933-942
Improved Strongly Adaptive Online Learning using Coin Betting
Kwang-Sung Jun, Francesco Orabona, Stephen Wright, Rebecca Willett; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:943-951
Black-box Importance Sampling
Qiang Liu, Jason Lee; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:952-961
Fairness Constraints: Mechanisms for Fair Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez, Krishna P. Gummadi; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:962-970
Frequency Domain Predictive Modelling with Aggregated Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo; 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
Lingxiao Wang, Xiao Zhang, Quanquan Gu; 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
Ryan Rogers, Daniel Kifer; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:991-1000
A Learning Theory of Ranking Aggregation
Anna Korba, Stéphan Clemencon, Eric Sibony; 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
Albert Thomas, Stéphan Clemencon, Alexandre Gramfort, Anne Sabourin; 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
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cedric Gouy-Pailler, Anne Morvan, Nouri Sakr, Tamas Sarlos, Jamal Atif; 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
Aleksandar Botev, Bowen Zheng, David Barber; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1030-1038
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Learning Optimal Interventions
Jonas Mueller, David Reshef, George Du, Tommi Jaakkola; 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
Nicholas Ruozzi; 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
Ruoxi Sun, Evan Archer, Liam Paninski; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1057-1065
Linear Convergence of Stochastic Frank Wolfe Variants
Donald Goldfarb, Garud Iyengar, Chaoxu Zhou; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1066-1074
Sequential Graph Matching with Sequential Monte Carlo
Seong-Hwan Jun, Samuel W.K. Wong, James Zidek, Alexandre Bouchard-Cote; 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
Nishant Mehta; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1085-1093
Generalization Error of Invariant Classifiers
Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel Rodrigues; 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
Stefanos Poulis, Sanjoy Dasgupta; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1104-1113
Optimistic Planning for the Stochastic Knapsack Problem
Ciara Pike-Burke, Steffen Grunewalder; 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
Raman Sankaran, Francis Bach, Chiranjib Bhattacharya; 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
Shaofei Wang, Steffen Wolf, Charless Fowlkes, Julian Yarkony; 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
Wei Ping, Alex Ihler; 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
Jialei Wang, Jason Lee, Mehrdad Mahdavi, Mladen Kolar, Nati Srebro; 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
Xiangru Lian, Mengdi Wang, Ji Liu; 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
Beilun Wang, Ji Gao, Yanjun Qi; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1168-1177
Communication-efficient Distributed Sparse Linear Discriminant Analysis
Lu Tian, Quanquan Gu; 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
Alp Yurtsever, Madeleine Udell, Joel Tropp, Volkan Cevher; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1188-1196
Modal-set estimation with an application to clustering
Heinrich Jiang, Samory Kpotufe; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1197-1206
Compressed Least Squares Regression revisited
Martin Slawski; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1207-1215
Diverse Neural Network Learns True Target Functions
Bo Xie, Yingyu Liang, Le Song; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1216-1224
Local Group Invariant Representations via Orbit Embeddings
Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schoelkopf; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1225-1235
Relativistic Monte Carlo
Xiaoyu Lu, Valerio Perrone, Leonard Hasenclever, Yee Whye Teh, Sebastian Vollmer; 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
Marc Abeille, Alessandro Lazaric; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1246-1254
Fast Classification with Binary Prototypes
Kai Zhong, Ruiqi Guo, Sanjiv Kumar, Bowei Yan, David Simcha, Inderjit Dhillon; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1255-1263
Prediction Performance After Learning in Gaussian Process Regression
Johan Wagberg, Dave Zachariah, Thomas Schon, Petre Stoica; 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
Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Aguera y Arcas; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1273-1282
Learning Structured Weight Uncertainty in Bayesian Neural Networks
Shengyang Sun, Changyou Chen, Lawrence Carin; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1283-1292
Signal-based Bayesian Seismic Monitoring
David Moore, Stuart Russell; 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
Youngsuk Park, David Hallac, Stephen Boyd, Jure Leskovec; 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
Jacob Gardner, Chuan Guo, Kilian Weinberger, Roman Garnett, Roger Grosse; 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
Samory Kpotufe; 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
Philipp Thomann, Ingrid Blaschzyk, Mona Meister, Ingo Steinwart; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1329-1337
Inference Compilation and Universal Probabilistic Programming
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood; 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
Aniruddha Bhargava, Ravi Ganti, Rob Nowak; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1349-1357
Information Projection and Approximate Inference for Structured Sparse Variables
Rajiv Khanna, Joydeep Ghosh, Rusell Poldrack, Oluwasanmi Koyejo; 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
Yihan Gao, Aditya Parameswaran, Jian Peng; 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
Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1375-1384
Initialization and Coordinate Optimization for Multi-way Matching
Da Tang, Tony Jebara; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1385-1393
Optimal Recovery of Tensor Slices
Vivek Farias, Andrew Li; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1394-1402
Efficient Online Multiclass Prediction on Graphs via Surrogate Losses
Alexander Rakhlin, Karthik Sridharan; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1403-1411
Distribution of Gaussian Process Arc Lengths
Justin Bewsher, Alessandra Tosi, Michael Osborne, Stephen Roberts; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1412-1420
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele Calandriello, Alessandro Lazaric, Michal Valko; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1421-1429
Binary and Multi-Bit Coding for Stable Random Projections
Ping Li; 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
Forough Arabshahi, Anima Anandkumar; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1439-1447
Label Filters for Large Scale Multilabel Classification
Alexandru Niculescu-Mizil, Ehsan Abbasnejad; 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
Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1458-1467
Sequential Multiple Hypothesis Testing with Type I Error Control
Alan Malek, Sumeet Katariya, Yinlam Chow, Mohammad Ghavamzadeh; 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
Ariadna Quattoni, Xavier Carreras, Matthias Gallé; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1477-1485
Value-Aware Loss Function for Model-based Reinforcement Learning
Amir-Massoud Farahmand, Andre Barreto, Daniel Nikovski; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1486-1494
Convergence Rate of Stochastic k-means
Cheng Tang, Claire Monteleoni; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1495-1503
Automated Inference with Adaptive Batches
Soham De, Abhay Yadav, David Jacobs, Tom Goldstein; 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
Jiong Zhang, Ian En-Hsu Yen, Pradeep Ravikumar, Inderjit Dhillon; 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
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes; 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
Asish Ghoshal, Jean Honorio; 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
Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam; 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
Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang, Qixing Huang, Pradeep Ravikumar, Inderjit Dhillon; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1550-1559
Scalable Greedy Feature Selection via Weak Submodularity
Rajiv Khanna, Ethan Elenberg, Alex Dimakis, Sahand Negahban, Joydeep Ghosh; Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54:1560-1568
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