Optimization

Lagrangian Fluid Simulation with Continuous Convolutions ICLR 2020 Large Batch Optimization for Deep Learning: Training BERT in 76 minutes ICLR 2020 Large-Scale Methods for Distributionally Robust Optimization NeurIPS 2020 Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems COLT 2020 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract) AAAI 2020 LEARNED STEP SIZE QUANTIZATION ICLR 2020 Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning ACML 2020 Learning Adaptive Segmentation Policy for Simultaneous Translation EMNLP 2020 Learning a Reinforced Agent for Flexible Exposure Bracketing Selection CVPR 2020 Learning a Single Neuron with Gradient Methods COLT 2020 Learning Augmentation Network via Influence Functions CVPR 2020 Learning by Minimizing the Sum of Ranked Range NeurIPS 2020 Learning Causal Effects via Weighted Empirical Risk Minimization NeurIPS 2020 Learning Certified Control Using Contraction Metric CoRL 2020 Learning CNF Blocking for Large-scale Author Name Disambiguation EMNLP 2020 Learning Combinatorial Solver for Graph Matching CVPR 2020 Learning Composable Energy Surrogates for PDE Order Reduction NeurIPS 2020 Learning Constraints for Structured Prediction Using Rectifier Networks ACL 2020 Learning Data-adaptive Non-parametric Kernels JMLR 2020 Learning decomposable models by coarsening PGM 2020 Learning Differential Equations that are Easy to Solve NeurIPS 2020 Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NeurIPS 2020 Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020 Learning Equality Constraints for Motion Planning on Manifolds CoRL 2020