robust optimization

Training Over-parameterized Models with Non-decomposable Objectives NeurIPS 2021 Twice regularized MDPs and the equivalence between robustness and regularization NeurIPS 2021 Bayesian Robust Optimization for Imitation Learning NeurIPS 2020 Choosing the Sample with Lowest Loss makes SGD Robust AISTATS 2020 Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020 Interpreting Robust Optimization via Adversarial Influence Functions ICML 2020 Layered Sampling for Robust Optimization Problems ICML 2020 Learning Robust Decision Policies from Observational Data NeurIPS 2020 Mixed Strategies for Robust Optimization of Unknown Objectives AISTATS 2020 Neural Non-Rigid Tracking NeurIPS 2020 Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization AISTATS 2020 Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding NeurIPS 2020 One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers NeurIPS 2020 On Robustness in Qualitative Constraint Networks IJCAI 2020 Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions MLHC 2020 Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NeurIPS 2020 Parameter Optimization for Learning-based Control of Control-Affine Systems L4DC 2020 Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise AAAI 2020 Reinforcement Learning with Perturbed Rewards AAAI 2020 Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees L4DC 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020 Robust Market Equilibria with Uncertain Preferences AAAI 2020 Robust Market Making via Adversarial Reinforcement Learning IJCAI 2020 Robust Meta-learning for Mixed Linear Regression with Small Batches NeurIPS 2020 Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation NeurIPS 2020