Mathematics & Optimization

Online Learning under Delayed Feedback ICML 2013 Online Learning with Costly Features and Labels NeurIPS 2013 Online Learning with Predictable Sequences COLT 2013 Online Learning with Switching Costs and Other Adaptive Adversaries NeurIPS 2013 Online Robust PCA via Stochastic Optimization NeurIPS 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization COLT 2013 On the Convergence of Maximum Variance Unfolding JMLR 2013 On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NeurIPS 2013 On the Mean Curvature Flow on Graphs with Applications in Image and Manifold Processing ICCV 2013 Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013 Open Problem: Lower bounds for Boosting with Hadamard Matrices COLT 2013 Opportunistic Strategies for Generalized No-Regret Problems COLT 2013 Optical Flow Estimation Using Laplacian Mesh Energy CVPR 2013 Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality JMLR 2013 Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing RSS 2013 Optimal Neural Population Codes for High-dimensional Stimulus Variables NeurIPS 2013 Optimal Orthogonal Basis and Image Assimilation: Motion Modeling ICCV 2013 Optimal Probability Estimation with Applications to Prediction and Classification COLT 2013 Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013 Optimistic Concurrency Control for Distributed Unsupervised Learning NeurIPS 2013 Optimization, Learning, and Games with Predictable Sequences NeurIPS 2013 Optimization Problems for Fast AAM Fitting in-the-Wild ICCV 2013 Optimization with First-Order Surrogate Functions ICML 2013