Optimization

Robust Optimization for Multilingual Translation with Imbalanced Data NeurIPS 2021 Robust Policy Gradient against Strong Data Corruption ICML 2021 Robust Predictable Control NeurIPS 2021 Robust Regression Revisited: Acceleration and Improved Estimation Rates NeurIPS 2021 Robust Regularization with Adversarial Labelling of Perturbed Samples IJCAI 2021 Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021 Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021 Robust Unsupervised Learning via L-statistic Minimization ICML 2021 Robust Watermarking for Deep Neural Networks via Bi-Level Optimization ICCV 2021 RoMA: Robust Model Adaptation for Offline Model-based Optimization NeurIPS 2021 Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs ICCV 2021 R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina ICCV 2021 RST Parsing from Scratch NAACL 2021 RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021 Safely Learning Dynamical Systems from Short Trajectories L4DC 2021 Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach JMLR 2021 Safe Pontryagin Differentiable Programming NeurIPS 2021 Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021 Safe Search for Stackelberg Equilibria in Extensive-Form Games AAAI 2021 Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning RSS 2021 Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NeurIPS 2021 Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization IJCAI 2021 Sample Selection for Fair and Robust Training NeurIPS 2021 Sample-Specific Output Constraints for Neural Networks AAAI 2021