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online learning

1770 papers

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Also known as

OLO 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

Sequence to Sequence Training of CTC-RNNs with Partial Windowing ICML 2016
Contextual Combinatorial Cascading Bandits ICML 2016
Causal Bandits: Learning Good Interventions via Causal Inference NIPS 2016
Online learning in repeated auctions COLT 2016
Shifting Regret, Mirror Descent, and Matrices ICML 2016
Interactive Algorithms: from Pool to Stream COLT 2016
Online Learning with Low Rank Experts COLT 2016
Mistake Bounds for Binary Matrix Completion NIPS 2016
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NIPS 2016
Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games NIPS 2016
Regret of Queueing Bandits NIPS 2016
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map CVPR 2016
Online PCA with Optimal Regret JMLR 2016
Efficient Second Order Online Learning by Sketching NIPS 2016
Online Learning With Bayesian Classification Trees CVPR 2016
Revealing Graph Bandits for Maximizing Local Influence AISTATS 2016
Random Forest for the Contextual Bandit Problem AISTATS 2016
Online Collaborative Learning for Open-Vocabulary Visual Classifiers CVPR 2016
The Multi-fidelity Multi-armed Bandit NIPS 2016
Fast Convergence of Online Pairwise Learning Algorithms AISTATS 2016
Online Learning to Rank with Feedback at the Top AISTATS 2016
Incremental Variational Sparse Gaussian Process Regression NIPS 2016
Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016
Hardness of Online Sleeping Combinatorial Optimization Problems NIPS 2016
Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case JMLR 2016