online learning

Regression-tree Tuning in a Streaming Setting NeurIPS 2013 Regret Minimization for Branching Experts COLT 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Robust Object Tracking with Online Multi-lifespan Dictionary Learning ICCV 2013 Second Order Online Collaborative Filtering ACML 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 Stable Coactive Learning via Perturbation ICML 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 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 Linear Time Active Learning Algorithm for Link Classification NeurIPS 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 An Introduction to Artificial Prediction Markets for Classification JMLR 2012 Beyond Logarithmic Bounds in Online Learning AISTATS 2012 Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012 Confidence-Weighted Linear Classification for Text Categorization JMLR 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 Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NeurIPS 2012