Mathematics & Optimization

Non-Stochastic Bandit Slate Problems NeurIPS 2010 Occlusion Detection and Motion Estimation with Convex Optimization NeurIPS 2010 On Finding Predictors for Arbitrary Families of Processes JMLR 2010 Online Classification with Specificity Constraints NeurIPS 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 Online Learning: Random Averages, Combinatorial Parameters, and Learnability NeurIPS 2010 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010 Online Passive-Aggressive Algorithms on a Budget AISTATS 2010 On-Line Sequential Bin Packing JMLR 2010 On the Convexity of Latent Social Network Inference NeurIPS 2010 On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure JMLR 2010 Optimal Web-Scale Tiering as a Flow Problem NeurIPS 2010 Parallelized Stochastic Gradient Descent NeurIPS 2010 Parametric Bandits: The Generalized Linear Case NeurIPS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 Random Projections for k-means Clustering NeurIPS 2010 Random Projection Trees Revisited NeurIPS 2010 Random Walk Approach to Regret Minimization NeurIPS 2010 Rate Minimaxity of the Lasso and Dantzig Selector for the Loss in Balls JMLR 2010 REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010