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Online Learning

1012 directly classified papers

Papers per year

Papers

A Bayesian Framework for Online Classifier Ensemble ICML 2014
Online Bayesian Passive-Aggressive Learning ICML 2014
Online combinatorial optimization with stochastic decision sets and adversarial losses NIPS 2014
Extreme bandits NIPS 2014
Efficient Minimax Strategies for Square Loss Games NIPS 2014
Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014
Mondrian Forests: Efficient Online Random Forests NIPS 2014
A Drifting-Games Analysis for Online Learning and Applications to Boosting NIPS 2014
The Blinded Bandit: Learning with Adaptive Feedback NIPS 2014
Shaping Social Activity by Incentivizing Users NIPS 2014
Efficient Partial Monitoring with Prior Information NIPS 2014
Learning the Learning Rate for Prediction with Expert Advice NIPS 2014
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NIPS 2014
Repeated Contextual Auctions with Strategic Buyers NIPS 2014
Exploiting easy data in online optimization NIPS 2014
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem COLT 2014
Multiarmed Bandits With Limited Expert Advice COLT 2014
Online Linear Optimization via Smoothing COLT 2014
Follow the Leader with Dropout Perturbations COLT 2014
Lipschitz Bandits: Regret Lower Bound and Optimal Algorithms COLT 2014
Higher-Order Regret Bounds with Switching Costs COLT 2014
Approachability in unknown games: Online learning meets multi-objective optimization COLT 2014
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations COLT 2014
Online Learning with Composite Loss Functions COLT 2014
Online Non-Parametric Regression COLT 2014