Optimization

One-Bit Compressed Sensing: Provable Support and Vector Recovery ICML 2013 One-Pass AUC Optimization ICML 2013 Online Learning for Time Series Prediction COLT 2013 Online Learning of Dynamic Parameters in Social Networks NeurIPS 2013 Online Learning with Predictable Sequences COLT 2013 Online PCA for Contaminated Data NeurIPS 2013 Online Robust Dictionary Learning CVPR 2013 Online Robust PCA via Stochastic Optimization NeurIPS 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations 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 Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NeurIPS 2013 Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013 Optical Flow via Locally Adaptive Fusion of Complementary Data Costs ICCV 2013 Optimal Geometric Fitting under the Truncated L2-Norm CVPR 2013 Optimally Fuzzy Temporal Memory JMLR 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 Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing ICML 2013 Optimization, Learning, and Games with Predictable Sequences NeurIPS 2013 Optimization with First-Order Surrogate Functions ICML 2013 Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 2013 Optimizing Instructional Policies NeurIPS 2013 Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013 Parametric Task Learning NeurIPS 2013