conftrace_

adversarial corruption

40 papers

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Co-occurring keywords

regret bound (1926) multi-armed bandit (1098) adversarial robustness (1341) robust estimation (168) robust regression (79) robust statistics (102) reinforcement learning (4352) online algorithm (445) linear regression (282) outlier detection (319)

Papers

Learning with Monotone Adversarial Corruptions ALT 2026
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025
Robust Sparse Regression with Non-Isotropic Designs NIPS 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning ICML 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
Robust Lipschitz Bandits to Adversarial Corruptions NIPS 2023
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NIPS 2023
Best-of-Both-Worlds Algorithms for Partial Monitoring ALT 2023
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation NIPS 2022
Robust Generalized Method of Moments: A Finite Sample Viewpoint NIPS 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions NIPS 2022
On the well-spread property and its relation to linear regression COLT 2022
Robust Estimation for Random Graphs COLT 2022
A Model Selection Approach for Corruption Robust Reinforcement Learning ALT 2022
Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds COLT 2022
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions ICML 2021
Robustness Guarantees for Mode Estimation with an Application to Bandits AAAI 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates NIPS 2021
Prediction against a limited adversary JMLR 2021
Corruption-robust exploration in episodic reinforcement learning COLT 2021
Stochastic Graphical Bandits with Adversarial Corruptions AAAI 2021
On Optimal Robustness to Adversarial Corruption in Online Decision Problems NIPS 2021