Mathematics & Optimization

Online Sinkhorn: Optimal Transport distances from sample streams NeurIPS 2020 Online Sufficient Dimension Reduction Through Sliced Inverse Regression JMLR 2020 On lp-Support Vector Machines and Multidimensional Kernels JMLR 2020 On Mahalanobis Distance in Functional Settings JMLR 2020 On Maximization of Weakly Modular Functions: Guarantees of Multi-stage Algorithms, Tractability, and Hardness AISTATS 2020 On Metric DBSCAN with Low Doubling Dimension IJCAI 2020 On Performance Estimation in Automatic Algorithm Configuration AAAI 2020 On Regret with Multiple Best Arms NeurIPS 2020 On Robustness in Qualitative Constraint Networks IJCAI 2020 On Simulation and Trajectory Prediction with Gaussian Process Dynamics L4DC 2020 On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach ICLR 2020 On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020 On Swap Convexity of Voting Rules AAAI 2020 On Testing of Samplers NeurIPS 2020 On the Analysis of EM for truncated mixtures of two Gaussians ALT 2020 On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020 On the Complexity of Winner Verification and Candidate Winner for Multiwinner Voting Rules IJCAI 2020 On the Convergence of Model Free Learning in Mean Field Games AAAI 2020 On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings ICML 2020 On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems COLT 2020 On the Decidability of Intuitionistic Tense Logic without Disjunction IJCAI 2020 On the Distribution of Minima in Intrinsic-Metric Rotation Averaging CVPR 2020 On the Enumeration of Association Rules: A Decomposition-based Approach IJCAI 2020 On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NeurIPS 2020 On the Expressive Power of Kernel Methods and the Efficiency of Kernel Learning by Association Schemes ALT 2020