Online Algorithms

Regression-tree Tuning in a Streaming Setting NeurIPS 2013 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 The Pareto Regret Frontier NeurIPS 2013 Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013 Top-k Selection based on Adaptive Sampling of Noisy Preferences ICML 2013 Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards NeurIPS 2013 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NeurIPS 2012 An Introduction to Artificial Prediction Markets for Classification JMLR 2012 Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NeurIPS 2012 Beyond Logarithmic Bounds in Online Learning AISTATS 2012 Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NeurIPS 2012 Confusion-Based Online Learning and a Passive-Aggressive Scheme NeurIPS 2012 Distributed Non-Stochastic Experts NeurIPS 2012 Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NeurIPS 2012 Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NeurIPS 2012 Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012 Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012 Mirror Descent Meets Fixed Share (and feels no regret) NeurIPS 2012 Multi-armed Bandit Problems with History AISTATS 2012 Near-Optimal Algorithms for Online Matrix Prediction COLT 2012 No Internal Regret via Neighborhood Watch AISTATS 2012 No-Regret Algorithms for Unconstrained Online Convex Optimization NeurIPS 2012 Online allocation and homogeneous partitioning for piecewise constant mean-approximation NeurIPS 2012 Online Clustering of Processes AISTATS 2012 Online L1-Dictionary Learning with Application to Novel Document Detection NeurIPS 2012