online learning

LIBOL: A Library for Online Learning Algorithms JMLR 2014 Mondrian Forests: Efficient Online Random Forests NeurIPS 2014 Multiarmed Bandits With Limited Expert Advice COLT 2014 (Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014 Near-Optimal Herding COLT 2014 Near-Optimally Teaching the Crowd to Classify ICML 2014 Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NeurIPS 2014 Online Bayesian Passive-Aggressive Learning ICML 2014 Online combinatorial optimization with stochastic decision sets and adversarial losses NeurIPS 2014 Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014 Online Learning with Composite Loss Functions COLT 2014 Online Linear Optimization via Smoothing COLT 2014 Online Object Tracking, Learning and Parsing with And-Or Graphs CVPR 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 On the convergence of no-regret learning in selfish routing ICML 2014 Open Problem: Efficient Online Sparse Regression COLT 2014 Open Problem: Online Local Learning COLT 2014 Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NeurIPS 2014 Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014 Pursuit-Evasion Without Regret, with an Application to Trading ICML 2014 Quasi Real-Time Summarization for Consumer Videos CVPR 2014 Repeated Contextual Auctions with Strategic Buyers NeurIPS 2014 Resourceful Contextual Bandits COLT 2014 Robust Multi-objective Learning with Mentor Feedback COLT 2014 Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning CVPR 2014