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adversarial corruption

52 papers

Papers

Learning with Monotone Adversarial Corruptions ALT 2026 Linear Regression under Missing or Corrupted Coordinates COLT 2026 Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise UAI 2026 A Model for Combinatorial Dictionary Learning and Inference ALT 2025 A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO ICML 2025 Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 Multi-agent Stochastic Bandits Robust to Adversarial Corruptions L4DC 2025 Outlier-Robust Linear System Identification Under Heavy-Tailed Noise L4DC 2025 Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025 Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024 Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 2024 Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024 Robust Sparse Regression with Non-Isotropic Designs NeurIPS 2024 Best-of-Both-Worlds Algorithms for Partial Monitoring ALT 2023 BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning ICML 2023 Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms COLT 2023 Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes ICML 2023 Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NeurIPS 2023 Neural Architecture Design and Robustness: A Dataset ICLR 2023 Robust Lipschitz Bandits to Adversarial Corruptions NeurIPS 2023 Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds COLT 2022 A Model Selection Approach for Corruption Robust Reinforcement Learning ALT 2022 Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions NeurIPS 2022 On the well-spread property and its relation to linear regression COLT 2022