Mathematics & Optimization

Normalized Spectral Map Synchronization NeurIPS 2016 OLPS: A Toolbox for On-Line Portfolio Selection JMLR 2016 One Scan 1-Bit Compressed Sensing AISTATS 2016 One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities NeurIPS 2016 On Explore-Then-Commit strategies NeurIPS 2016 On Graduated Optimization for Stochastic Non-Convex Problems ICML 2016 Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016 Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees AISTATS 2016 Online Collaborative Learning for Open-Vocabulary Visual Classifiers CVPR 2016 Online Convex Optimization with Unconstrained Domains and Losses NeurIPS 2016 Online Isotonic Regression COLT 2016 Online Learning and Blackwell Approachability in Quitting Games COLT 2016 Online learning in repeated auctions COLT 2016 Online Learning to Rank with Feedback at the Top AISTATS 2016 Online Learning with Feedback Graphs Without the Graphs ICML 2016 Online PCA with Optimal Regret JMLR 2016 Online Pricing with Strategic and Patient Buyers NeurIPS 2016 Online Stochastic Linear Optimization under One-bit Feedback ICML 2016 On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice AISTATS 2016 On Lower and Upper Bounds in Smooth and Strongly Convex Optimization JMLR 2016 On Mixtures of Markov Chains NeurIPS 2016 On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016 On Robustness of Kernel Clustering NeurIPS 2016 On Smoothing and Enhancing Dynamics of Pitch Contours Represented by Discrete Orthogonal Polynomials for Prosody Generation Interspeech 2016 On the Approximability of Sparse PCA COLT 2016