Robust Optimization

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems L4DC 2021 Correlation Robust Influence Maximization NeurIPS 2020 Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020 Distributionally Robust Counterfactual Risk Minimization AAAI 2020 Distributionally Robust Local Non-parametric Conditional Estimation NeurIPS 2020 Distributionally Robust Parametric Maximum Likelihood Estimation NeurIPS 2020 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 Hierarchically Robust Representation Learning CVPR 2020 Large-Scale Methods for Distributionally Robust Optimization NeurIPS 2020 One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers NeurIPS 2020 Learning Robust Options by Conditional Value at Risk Optimization NeurIPS 2019 Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NeurIPS 2019 Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NeurIPS 2019 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NeurIPS 2019 Randomized Strategies for Robust Combinatorial Optimization AAAI 2019 Robust exploration in linear quadratic reinforcement learning NeurIPS 2019 Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes CVPR 2019 Scalable Robust Kidney Exchange AAAI 2019 Differentially Private Robust Low-Rank Approximation NeurIPS 2018 Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras CVPR 2018 Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NeurIPS 2018 Wasserstein Distributionally Robust Kalman Filtering NeurIPS 2018 Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization NeurIPS 2017 Consistent Robust Regression NeurIPS 2017 Robust Optimization for Non-Convex Objectives NeurIPS 2017