Papers
Bayesian Nonparametric Crowdsourcing
Pablo G. Moreno, Antonio Artes-Rodriguez, Yee Whye Teh et al.
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery
Han Liu, Lie Wang, Tuo Zhao
RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research
Alborz Geramifard, Christoph Dann, Robert H. Klein et al.
Flexible High-Dimensional Classification Machines and Their Asymptotic Properties
Xingye Qiao, Lingsong Zhang
A Finite Sample Analysis of the Naive Bayes Classifier
Daniel Berend, Aryeh Kontorovich
Second-Order Non-Stationary Online Learning for Regression
Edward Moroshko, Nina Vaits, Koby Crammer
A Comprehensive Survey on Safe Reinforcement Learning
Javier García, Fernando Fernández
The Algebraic Combinatorial Approach for Low-Rank Matrix Completion
Franz J.Király, Louis Theran, Ryota Tomioka
Rationality, Optimism and Guarantees in General Reinforcement Learning
Peter Sunehag, Marcus Hutter
Learning Equilibria of Games via Payoff Queries
John Fearnley, Martin Gairing, Paul W. Goldberg et al.
Learning Sparse Low-Threshold Linear Classifiers
Sivan Sabato, Shai Shalev-Shwartz, Nathan Srebro et al.
Perturbed Message Passing for Constraint Satisfaction Problems
Siamak Ravanbakhsh, Russell Greiner
Local Identification of Overcomplete Dictionaries
Karin Schnass
Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data
Jean Honorio, Luis Ortiz
Fast Cross-Validation via Sequential Testing
Tammo Krueger, Danny Panknin, Mikio Braun
Lasso Screening Rules via Dual Polytope Projection
Jie Wang, Peter Wonka, Jieping Ye
Joint Estimation of Multiple Precision Matrices with Common Structures
Wonyul Lee, Yufeng Liu
Learning with the Maximum Correntropy Criterion Induced Losses for Regression
Yunlong Feng, Xiaolin Huang, Lei Shi et al.
Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection
Piotr Pokarowski, Jan Mielniczuk
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan
A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael W. Mahoney, Bin Yu
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
Pascal Germain, Alexandre Lacasse, Francois Laviolette et al.
Response-Based Approachability with Applications to Generalized No-Regret Problems
Andrey Bernstein, Nahum Shimkin