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conftrace_

distributionally robust optimization

241 papers

DRO

Papers

Balance Equation-based Distributionally Robust Offline Imitation Learning L4DC 2026 Conditional Diffusion Models for Imbalanced Tabular Regression UAI 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Distribution-Dependent Rates for Multi-Distribution Learning ALT 2026 Doubly Debiased Robust Subsampling for Transfer Learning JMLR 2026 Efficient Q-Learning and Actor–Critic Methods for Robust Average-Reward Reinforcement Learning. UAI 2026 HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization SemEval 2026 ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026 Preference Robustness for DPO with Applications to Public Health AAAI 2026 ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting AAAI 2026 Robust Decision-Focused Learning via Worst-Case Regret Minimization UAI 2026 Robust Transfer Learning With Side Information UAI 2026 SAFO: Stable Adaptive Fairness Optimization for LLM-Based Social Survey Simulation ACL 2026 skwdro: a library for Wasserstein distributionally robust machine learning JMLR 2026 Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise AAAI 2026 An Effective Manifold-based Optimization Method for Distributionally Robust Classification ICLR 2025 Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport AAAI 2025 Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls UAI 2025 Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025 DRoP: Distributionally Robust Data Pruning ICLR 2025 DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025 Fair Federated Survival Analysis AAAI 2025 FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set UAI 2025 Group Distributionally Robust Dataset Distillation with Risk Minimization ICLR 2025 Improved Diffusion-based Generative Model with Better Adversarial Robustness ICLR 2025