Optimization

Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction COLING 2020 Generating Weighted MAX-2-SAT Instances with Frustrated Loops: an RBM Case Study JMLR 2020 Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate ICML 2020 Generative Flows with Matrix Exponential ICML 2020 Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 2020 Generative Ratio Matching Networks ICLR 2020 GeoDA: A Geometric Framework for Black-Box Adversarial Attacks CVPR 2020 Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning ICLR 2020 Geometric Dataset Distances via Optimal Transport NeurIPS 2020 Geometric Exploration for Online Control NeurIPS 2020 Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models ICML 2020 Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems NeurIPS 2020 GOBNILP: Learning Bayesian network structure with integer programming PGM 2020 Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020 GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification NeurIPS 2020 Gradient-Based Optimization for Bayesian Preference Elicitation AAAI 2020 Gradient descent follows the regularization path for general losses COLT 2020 Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers JMLR 2020 Gradient Descent Maximizes the Margin of Homogeneous Neural Networks ICLR 2020 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values ICML 2020 Gradient Estimation with Stochastic Softmax Tricks NeurIPS 2020 Gradient-guided Unsupervised Lexically Constrained Text Generation EMNLP 2020 Gradientless Descent: High-Dimensional Zeroth-Order Optimization ICLR 2020 Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations AAAI 2020 Gradient Perturbation is Underrated for Differentially Private Convex Optimization IJCAI 2020