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

SAFO: Stable Adaptive Fairness Optimization for LLM-Based Social Survey Simulation ACL 2026
ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting AAAI 2026
Preference Robustness for DPO with Applications to Public Health AAAI 2026
Distribution-Dependent Rates for Multi-Distribution Learning ALT 2026
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026
Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise AAAI 2026
Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026
Fair Federated Survival Analysis AAAI 2025
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport AAAI 2025
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval AAAI 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation AAAI 2025
Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling WACV 2025
Toward Robust Neural Reconstruction from Sparse Point Sets CVPR 2025
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NIPS 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NIPS 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NIPS 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024