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Papers (including subtopics)

On-Line Learning Algorithms for Path Experts with Non-Additive Losses COLT 2015 Online Learning for Adversaries with Memory: Price of Past Mistakes NeurIPS 2015 Online Learning of Eigenvectors ICML 2015 Online Learning via Sequential Complexities JMLR 2015 Online Learning with Adversarial Delays NeurIPS 2015 Online Learning with Feedback Graphs: Beyond Bandits COLT 2015 Online Learning with Gaussian Payoffs and Side Observations NeurIPS 2015 Online Optimization : Competing with Dynamic Comparators AISTATS 2015 Online Prediction at the Limit of Zero Temperature NeurIPS 2015 Online Sketching Hashing CVPR 2015 Online Time Series Prediction with Missing Data ICML 2015 On Pairwise Costs for Network Flow Multi-Object Tracking CVPR 2015 On the Complexity of Bandit Linear Optimization COLT 2015 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015 On the Global Linear Convergence of Frank-Wolfe Optimization Variants NeurIPS 2015 On the Optimality of Classifier Chain for Multi-label Classification NeurIPS 2015 On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs NeurIPS 2015 Open Problem: Online Sabotaged Shortest Path COLT 2015 Open Problem: The Oracle Complexity of Smooth Convex Optimization in Nonstandard Settings COLT 2015 Optimal Estimation of Low Rank Density Matrices JMLR 2015 Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015 Optimal Linear Estimation under Unknown Nonlinear Transform NeurIPS 2015 Optimal Rates for Random Fourier Features NeurIPS 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Optimal Robust Control for Bipedal Robots through Control Lyapunov Function based Quadratic Programs RSS 2015