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online learning

1770 papers

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Also known as

OL

Co-occurring keywords

regret bound (1918) multi-armed bandit (1091) stochastic optimization (1060) regret minimization (315) contextual bandit (379) reinforcement learning (4122) online algorithm (444) convex optimization (1320) adversarial learning (1592) continual learning (1164)

Papers

An Empirical Evaluation of Thompson Sampling NIPS 2011
Online Learning of Multiple Tasks and Their Relationships AISTATS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
From Bandits to Experts: On the Value of Side-Observations NIPS 2011
A simple multi-armed bandit algorithm with optimal variation-bounded regret COLT 2011
On the Universality of Online Mirror Descent NIPS 2011
Online Submodular Set Cover, Ranking, and Repeated Active Learning NIPS 2011
Online Learning: Stochastic, Constrained, and Smoothed Adversaries NIPS 2011
Multi-armed bandits on implicit metric spaces NIPS 2011
Predicting Dynamic Difficulty NIPS 2011
Contextual Bandit Algorithms with Supervised Learning Guarantees AISTATS 2011
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NIPS 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
Committing Bandits NIPS 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011
Nonlinear Online Classification Algorithm with Probability Margin ACML 2011
Efficient Online Learning via Randomized Rounding NIPS 2011
Learning Eigenvectors for Free NIPS 2011
Online Passive-Aggressive Algorithms on a Budget AISTATS 2010
Incremental Sparsification for Real-time Online Model Learning AISTATS 2010
Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010
Online Anomaly Detection under Adversarial Impact AISTATS 2010
Non-Stochastic Bandit Slate Problems NIPS 2010
Trading off Mistakes and Don't-Know Predictions NIPS 2010
Online Learning: Random Averages, Combinatorial Parameters, and Learnability NIPS 2010