Optimization

Show Your Work: Improved Reporting of Experimental Results EMNLP 2019 ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning Interspeech 2019 signSGD via Zeroth-Order Oracle ICLR 2019 signSGD with Majority Vote is Communication Efficient and Fault Tolerant ICLR 2019 SIMON: A Simple and Scalable Method for Sensing, Inference and Measurement in Data Center Networks NSDI 2019 Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization ICML 2019 Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases AAAI 2019 Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm NeurIPS 2019 Sketched Iterative Algorithms for Structured Generalized Linear Models IJCAI 2019 Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019 Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation CVPR 2019 Sliced Wasserstein Generative Models CVPR 2019 Sliding Window Temporal Graph Coloring AAAI 2019 Slimmable Neural Networks ICLR 2019 SNAS: stochastic neural architecture search ICLR 2019 SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY ICLR 2019 Sobolev Descent AISTATS 2019 SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates CVPR 2019 Soft Q-Learning with Mutual-Information Regularization ICLR 2019 Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods NeurIPS 2019 Solving Continual Combinatorial Selection via Deep Reinforcement Learning IJCAI 2019 Solving Empirical Risk Minimization in the Current Matrix Multiplication Time COLT 2019 Solving Imperfect-Information Games via Discounted Regret Minimization AAAI 2019 Solving Partially Observable Stochastic Games with Public Observations AAAI 2019 Space and Time Efficient Kernel Density Estimation in High Dimensions NeurIPS 2019