conftrace_

distributionally robust optimization

185 papers

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Also known as

DRO

Co-occurring keywords

wasserstein distance (417) empirical risk minimization (352) convex optimization (1321) distribution shift (722) domain adaptation (4595) stochastic optimization (1060) generalization bound (652) optimal transport (948) distributionally robust (14) regret bound (1926)

Papers

Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence COLT 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NIPS 2024
The Impact of Differential Privacy on Group Disparity Mitigation NAACL 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024
Fairness in Survival Analysis with Distributionally Robust Optimization JMLR 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation NIPS 2024
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NIPS 2024
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NIPS 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NIPS 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization NIPS 2024
A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch NIPS 2024
Soft-Label Integration for Robust Toxicity Classification NIPS 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
Analysis of Kernel Mirror Prox for Measure Optimization AISTATS 2024
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation CVPR 2024
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NIPS 2024
Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data ALT 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024
Distributionally Robust Performative Prediction NIPS 2024
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NIPS 2024
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback NIPS 2024