Optimization

A General Large Neighborhood Search Framework for Solving Integer Linear Programs NeurIPS 2020 A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton ICML 2020 Aggregated Gradient Langevin Dynamics AAAI 2020 A Global Quasi-Dynamic Model for Contact-Trajectory Optimization in Manipulation RSS 2020 Agnostic Estimation for Phase Retrieval JMLR 2020 Agnostic Learning of a Single Neuron with Gradient Descent NeurIPS 2020 Agnostic Learning with Multiple Objectives NeurIPS 2020 A Graduated Filter Method for Large Scale Robust Estimation CVPR 2020 A Greedy Anytime Algorithm for Sparse PCA COLT 2020 A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings EMNLP 2020 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NeurIPS 2020 A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning AISTATS 2020 AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity NeurIPS 2020 A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020 Almost Tune-Free Variance Reduction ICML 2020 A Locally Linear Procedure for Word Translation COLING 2020 A Low Complexity Algorithm with O(√T) Regret and O(1) Constraint Violations for Online Convex Optimization with Long Term Constraints JMLR 2020 Altruism in Coalition Formation Games IJCAI 2020 A mathematical model for automatic differentiation in machine learning NeurIPS 2020 A Model-Driven Deep Neural Network for Single Image Rain Removal CVPR 2020 Amortized Bayesian Optimization over Discrete Spaces UAI 2020 Amortized Nesterov’s Momentum: A Robust Momentum and Its Application to Deep Learning UAI 2020 A Multigrid Method for Efficiently Training Video Models CVPR 2020 An Accelerated DFO Algorithm for Finite-sum Convex Functions ICML 2020