Mathematics & Optimization

Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NeurIPS 2015 Object-Based RGBD Image Co-Segmentation With Mutex Constraint CVPR 2015 On Approximate Non-submodular Minimization via Tree-Structured Supermodularity AISTATS 2015 On Elicitation Complexity NeurIPS 2015 On Estimating L_2^2 Divergence AISTATS 2015 On Greedy Maximization of Entropy ICML 2015 On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments ICML 2015 On Learning Distributions from their Samples COLT 2015 Online Density Estimation of Bradley-Terry Models COLT 2015 Online Gradient Boosting NeurIPS 2015 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 Statistical Analysis of Neuroimages With Imperfect Registration ICCV 2015 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 On the Asymptotic Normality of an Estimate of a Regression Functional JMLR 2015