Mathematics & Optimization

Guarantees of Stochastic Greedy Algorithms for Non-monotone Submodular Maximization with Cardinality Constraint AISTATS 2020 Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization ICML 2020 Guiding CDCL SAT Search via Random Exploration amid Conflict Depression AAAI 2020 Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities COLT 2020 Hamiltonian Monte Carlo Swindles AISTATS 2020 Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NeurIPS 2020 Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time L4DC 2020 Hard Examples for Common Variable Decision Heuristics AAAI 2020 Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020 Hard Shape-Constrained Kernel Machines NeurIPS 2020 Harmonic Decompositions of Convolutional Networks ICML 2020 Hawkesian Graphical Event Models PGM 2020 Hedging in games: Faster convergence of external and swap regrets NeurIPS 2020 HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract) AAAI 2020 Hiding in Multilayer Networks AAAI 2020 Hierarchical Clustering: A 0.585 Revenue Approximation COLT 2020 Hierarchical Human Parsing With Typed Part-Relation Reasoning CVPR 2020 Hierarchically Robust Representation Learning CVPR 2020 High Dimensional Discrete Integration over the Hypergrid UAI 2020 High-dimensional Gaussian graphical models on network-linked data JMLR 2020 High-Dimensional Inference for Cluster-Based Graphical Models JMLR 2020 High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix JMLR 2020 High-dimensional Linear Discriminant Analysis Classifier for Spiked Covariance Model JMLR 2020 High-dimensional quantile tensor regression JMLR 2020 High-Dimensional Sparse Linear Bandits NeurIPS 2020