Co-occurring keywords · papers mentioning both
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