robust optimization

306 papers

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Also known as

RO DYRO

Co-occurring keywords

adversarial training (1261) adversarial robustness (1335) markov decision process (788) adversarial learning (1592) adversarial attack (1599) neural network (6616) reinforcement learning (4122) outlier detection (318) robust markov decision process (29) policy optimization (630)

Papers

Train Hard, Fight Easy: Robust Meta Reinforcement Learning NIPS 2023

Tighter Robust Upper Bounds for Options via No-Regret Learning AAAI 2023

Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training ICCV 2023

Semidefinite Relaxations for Robust Multiview Triangulation CVPR 2023

On the Adversarial Robustness of Out-of-distribution Generalization Models NIPS 2023

Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023

RobustNeRF: Ignoring Distractors With Robust Losses CVPR 2023

Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023

Robust Lipschitz Bandits to Adversarial Corruptions NIPS 2023

Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization CVPR 2023

Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023

Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization JMLR 2023

Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023

Robust Sequence Networked Submodular Maximization AAAI 2023

Better Diffusion Models Further Improve Adversarial Training ICML 2023

Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NIPS 2023

Robust distillation for worst-class performance: on the interplay between teacher and student objectives UAI 2023

Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023

Use perturbations when learning from explanations NIPS 2023

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023

Robust Collaborative Learning with Linear Gradient Overhead ICML 2023

Towards Building More Robust Models with Frequency Bias ICCV 2023

Revisiting Rotation Averaging: Uncertainties and Robust Losses CVPR 2023

Robustness Guarantees for Adversarially Trained Neural Networks NIPS 2023

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity NIPS 2023