Mathematics & Optimization

Online Learning with Non-Convex Losses and Non-Stationary Regret AISTATS 2018 Online Linear Quadratic Control ICML 2018 Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations IJCAI 2018 Online Reciprocal Recommendation with Theoretical Performance Guarantees NeurIPS 2018 Online Regression with Partial Information: Generalization and Linear Projection AISTATS 2018 Online Variance Reduction for Stochastic Optimization COLT 2018 On Markov Chain Gradient Descent NeurIPS 2018 On Matching Pursuit and Coordinate Descent ICML 2018 On Misinformation Containment in Online Social Networks NeurIPS 2018 On Nesting Monte Carlo Estimators ICML 2018 On preserving non-discrimination when combining expert advice NeurIPS 2018 On Semiparametric Exponential Family Graphical Models JMLR 2018 On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness JMLR 2018 On the Complexity of Chore Division IJCAI 2018 On the Convergence of Adam and Beyond ICLR 2018 On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018 On the Duality Between Retinex and Image Dehazing CVPR 2018 On the Efficiency of Data Collection for Crowdsourced Classification IJCAI 2018 On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NeurIPS 2018 On the insufficiency of existing momentum schemes for Stochastic Optimization ICLR 2018 On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms RSS 2018 On the Local Minima of the Empirical Risk NeurIPS 2018 On the Logical Properties of the Description Logic DL^N (Extended abstract) IJCAI 2018 On the Satisfiability Threshold of Random Community-Structured SAT IJCAI 2018 On the Spectrum of Random Features Maps of High Dimensional Data ICML 2018