robust optimization

Robust Optimization for Fairness with Noisy Protected Groups NeurIPS 2020 Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization IJCAI 2020 Robust Sequence Submodular Maximization NeurIPS 2020 Robust Spatial-Temporal Incident Prediction UAI 2020 Robust Stackelberg buyers in repeated auctions AISTATS 2020 Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms AAAI 2020 Stable Regression: On the Power of Optimization over Randomization JMLR 2020 The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty IJCAI 2020 Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations CoRL 2020 Understanding and Mitigating the Tradeoff between Robustness and Accuracy ICML 2020 A Robust Spectral Algorithm for Overcomplete Tensor Decomposition COLT 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 Convergence of Adversarial Training in Overparametrized Neural Networks NeurIPS 2019 Distributionally Adversarial Attack AAAI 2019 Exploring Algorithmic Fairness in Robust Graph Covering Problems NeurIPS 2019 Exploring the Landscape of Spatial Robustness ICML 2019 Globally Optimal Learning for Structured Elliptical Losses NeurIPS 2019 Learning from Bad Data via Generation NeurIPS 2019 Learning Robust Options by Conditional Value at Risk Optimization NeurIPS 2019 Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses ICCV 2019 Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning NeurIPS 2019 Provably Robust Blackbox Optimization for Reinforcement Learning CoRL 2019 Randomized Strategies for Robust Combinatorial Optimization AAAI 2019 ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies NeurIPS 2019 Robust Attribution Regularization NeurIPS 2019