Online Learning

Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NeurIPS 2007 Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007 FilterBoost: Regression and Classification on Large Datasets NeurIPS 2007 Learning to classify complex patterns using a VLSI network of spiking neurons NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 On higher-order perceptron algorithms NeurIPS 2007 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NeurIPS 2007 Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NeurIPS 2007 Progressive mixture rules are deviation suboptimal NeurIPS 2007 Regret Minimization in Games with Incomplete Information NeurIPS 2007 The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information NeurIPS 2007 The Price of Bandit Information for Online Optimization NeurIPS 2007 Topmoumoute Online Natural Gradient Algorithm NeurIPS 2007 Convex Repeated Games and Fenchel Duality NeurIPS 2006 Handling Advertisements of Unknown Quality in Search Advertising NeurIPS 2006 implicit Online Learning with Kernels NeurIPS 2006 Incremental Support Vector Learning: Analysis, Implementation and Applications JMLR 2006 Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NeurIPS 2006 No-regret Algorithms for Online Convex Programs NeurIPS 2006 Online Classification for Complex Problems Using Simultaneous Projections NeurIPS 2006 Online Clustering of Moving Hyperplanes NeurIPS 2006 Online Passive-Aggressive Algorithms JMLR 2006 Prediction on a Graph with a Perceptron NeurIPS 2006 Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NeurIPS 2006 Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006