adversarial corruption

Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation NeurIPS 2022 Robust Estimation for Random Graphs COLT 2022 Robust Generalized Method of Moments: A Finite Sample Viewpoint NeurIPS 2022 Corruption-robust exploration in episodic reinforcement learning COLT 2021 Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions COLT 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 On Optimal Robustness to Adversarial Corruption in Online Decision Problems NeurIPS 2021 On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021 Prediction against a limited adversary JMLR 2021 Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions ICML 2021 Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time ICLR 2021 Robustness Guarantees for Mode Estimation with an Application to Bandits AAAI 2021 Robust Policy Gradient against Strong Data Corruption ICML 2021 Robust Regression Revisited: Acceleration and Improved Estimation Rates NeurIPS 2021 Stochastic Dueling Bandits with Adversarial Corruption ALT 2021 Stochastic Graphical Bandits with Adversarial Corruptions AAAI 2021 Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020 Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NeurIPS 2020 Better Algorithms for Stochastic Bandits with Adversarial Corruptions COLT 2019 How Hard is Robust Mean Estimation? COLT 2019 List-decodable Linear Regression NeurIPS 2019 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NeurIPS 2019 Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection NeurIPS 2019 Efficient Algorithms for Outlier-Robust Regression COLT 2018 Robust Learning of Fixed-Structure Bayesian Networks NeurIPS 2018