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Online Algorithms

2,192 papers

Papers per year

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Papers

Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NIPS 2012
Mirror Descent Meets Fixed Share (and feels no regret) NIPS 2012
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NIPS 2012
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NIPS 2012
Confusion-Based Online Learning and a Passive-Aggressive Scheme NIPS 2012
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NIPS 2012
Online L1-Dictionary Learning with Application to Novel Document Detection NIPS 2012
Online allocation and homogeneous partitioning for piecewise constant mean-approximation NIPS 2012
Online Rank Aggregation ACML 2012
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits AISTATS 2012
No Internal Regret via Neighborhood Watch AISTATS 2012
Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012
Stochastic Bandit Based on Empirical Moments AISTATS 2012
Online Clustering of Processes AISTATS 2012
Beyond Logarithmic Bounds in Online Learning AISTATS 2012
Using More Data to Speed-up Training Time AISTATS 2012
Multi-armed Bandit Problems with History AISTATS 2012
Unified Algorithms for Online Learning and Competitive Analysis COLT 2012
Online Optimization with Gradual Variations COLT 2012
Near-Optimal Algorithms for Online Matrix Prediction COLT 2012
Towards Minimax Policies for Online Linear Optimization with Bandit Feedback COLT 2012
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012
Optimistic Bayesian Sampling in Contextual-Bandit Problems JMLR 2012
An Introduction to Artificial Prediction Markets for Classification JMLR 2012
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints JMLR 2012