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Online Learning

1012 directly classified papers

Papers per year

Papers

Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013
Stable Coactive Learning via Perturbation ICML 2013
One-Pass AUC Optimization ICML 2013
The Cross-Entropy Method Optimizes for Quantiles ICML 2013
Learning Policies for Contextual Submodular Prediction ICML 2013
Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012
Confusion-Based Online Learning and a Passive-Aggressive Scheme NIPS 2012
Risk-Aversion in Multi-armed Bandits NIPS 2012
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NIPS 2012
Interpreting prediction markets: a stochastic approach NIPS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization NIPS 2012
The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Tight Bounds on Profile Redundancy and Distinguishability NIPS 2012
Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012
Differentially Private Online Learning COLT 2012
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012
Unified Algorithms for Online Learning and Competitive Analysis COLT 2012
Mirror Descent Meets Fixed Share (and feels no regret) NIPS 2012
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NIPS 2012
Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012
Learning Valuation Functions COLT 2012
Online Optimization with Gradual Variations COLT 2012
The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012