Mathematics & Optimization

GOT: Testing for Originality in Natural Language Generation ACL 2021 Gradient-based optimization for multi-resource spatial coverage problems UAI 2021 Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization AAAI 2021 Graph Algorithms for Multiparallel Word Alignment EMNLP 2021 Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch) ICML 2021 Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints IJCAI 2021 Graph Game Embedding AAAI 2021 Graphical Cake Cutting via Maximin Share IJCAI 2021 Graphical Models in Heavy-Tailed Markets NeurIPS 2021 Graph Learning based Recommender Systems: A Review IJCAI 2021 Graph Learning for Inverse Landscape Genetics AAAI 2021 Graph Matching and Graph Rewriting: GREW tools for corpus exploration, maintenance and conversion EACL 2021 Graph Matching with Partially-Correct Seeds JMLR 2021 Graph Neural Networks Inspired by Classical Iterative Algorithms ICML 2021 Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence NeurIPS 2021 Greedy Approximation Algorithms for Active Sequential Hypothesis Testing NeurIPS 2021 Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021 Group testing and local search: is there a computational-statistical gap? COLT 2021 Group testing for connected communities AISTATS 2021 Group Testing on a Network AAAI 2021 Hadamard Wirtinger Flow for Sparse Phase Retrieval AISTATS 2021 Harmonious Semantic Line Detection via Maximal Weight Clique Selection CVPR 2021 Heavy Ball Momentum for Conditional Gradient NeurIPS 2021 Heavy Ball Neural Ordinary Differential Equations NeurIPS 2021 Hessian Eigenspectra of More Realistic Nonlinear Models NeurIPS 2021