Online Learning

Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Robust Data-Driven Dynamic Programming NeurIPS 2013 Robust Object Tracking with Online Multi-lifespan Dictionary Learning ICCV 2013 Second Order Online Collaborative Filtering ACML 2013 Stable Coactive Learning via Perturbation ICML 2013 Streaming Variational Bayes NeurIPS 2013 The Cross-Entropy Method Optimizes for Quantiles ICML 2013 The Pareto Regret Frontier NeurIPS 2013 The price of bandit information in multiclass online classification COLT 2013 Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NeurIPS 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012 Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button NeurIPS 2012 Beyond Logarithmic Bounds in Online Learning AISTATS 2012 Confusion-Based Online Learning and a Passive-Aggressive Scheme NeurIPS 2012 Consistency of Nearest Neighbor Classification under Selective Sampling COLT 2012 Differentially Private Online Learning COLT 2012 Distributed Non-Stochastic Experts NeurIPS 2012 Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012 Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012 Gradient Weights help Nonparametric Regressors NeurIPS 2012 Imitation Learning by Coaching NeurIPS 2012 Interpreting prediction markets: a stochastic approach NeurIPS 2012