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Learning Theory

5312 directly classified papers

Papers per year

Papers

Learning Theory of Randomized Kaczmarz Algorithm JMLR 2015
Agnostic Learning of Disjunctions on Symmetric Distributions JMLR 2015
Minimax Analysis of Active Learning JMLR 2015
Rationality, Optimism and Guarantees in General Reinforcement Learning JMLR 2015
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs NIPS 2015
Fast Rates for Exp-concave Empirical Risk Minimization NIPS 2015
Learning Causal Graphs with Small Interventions NIPS 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NIPS 2015
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring NIPS 2015
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors NIPS 2015
Optimal Rates for Random Fourier Features NIPS 2015
On Elicitation Complexity NIPS 2015
Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015
Online Learning with Adversarial Delays NIPS 2015
On the consistency theory of high dimensional variable screening NIPS 2015
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NIPS 2015
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits ICML 2015
Adaptive Online Learning NIPS 2015
Online Gradient Boosting NIPS 2015
Stochastic Online Greedy Learning with Semi-bandit Feedbacks NIPS 2015
Abstraction Selection in Model-based Reinforcement Learning ICML 2015
On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015
Fast Convergence of Regularized Learning in Games NIPS 2015
Sample Complexity of Learning Mahalanobis Distance Metrics NIPS 2015