Papers
4,122 papers found
Predicting a Switching Sequence of Graph Labelings
Mark Herbster, Stephen Pasteris, Massimiliano Pontil
pyGPs -- A Python Library for Gaussian Process Regression and Classification
Marion Neumann, Shan Huang, Daniel E. Marthaler et al.
Rationality, Optimism and Guarantees in General Reinforcement Learning
Peter Sunehag, Marcus Hutter
Regularized M-estimators with Nonconvexity: Statistical and Algorithmic Theory for Local Optima
Po-Ling Loh, Martin J. Wainwright
Response-Based Approachability with Applications to Generalized No-Regret Problems
Andrey Bernstein, Nahum Shimkin
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
Pascal Germain, Alexandre Lacasse, Francois Laviolette et al.
RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research
Alborz Geramifard, Christoph Dann, Robert H. Klein et al.
SAMOA: Scalable Advanced Massive Online Analysis
Gianmarco De Francisci Morales, Albert Bifet
Second-Order Non-Stationary Online Learning for Regression
Edward Moroshko, Nina Vaits, Koby Crammer
Semi-Supervised Interpolation in an Anticausal Learning Scenario
Dominik Janzing, Bernhard Schölkopf
Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation
Pierre C. Bellec, Alexandre B. Tsybakov
Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition
Qi Yan, Jieping Ye, Xiaotong Shen
SnFFT: A Julia Toolkit for Fourier Analysis of Functions over Permutations
Gregory Plumb, Deepti Pachauri, Risi Kondor et al.
Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling
Xi Chen, Qihang Lin, Dengyong Zhou
Supervised Learning via Euler's Elastica Models
Tong Lin, Hanlin Xue, Ling Wang et al.
The Algebraic Combinatorial Approach for Low-Rank Matrix Completion
Franz J.Király, Louis Theran, Ryota Tomioka
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R
Xingguo Li, Tuo Zhao, Xiaoming Yuan et al.
The Libra Toolkit for Probabilistic Models
Daniel Lowd, Amirmohammad Rooshenas
The Randomized Causation Coefficient
David Lopez-Paz, Krikamol Muandet, Benjamin Recht
Towards an Axiomatic Approach to Hierarchical Clustering of Measures
Philipp Thomann, Ingo Steinwart, Nico Schmid
Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery
Alexander Statnikov, Sisi Ma, Mikael Henaff et al.
V-Matrix Method of Solving Statistical Inference Problems
Vladimir Vapnik, Rauf Izmailov