conftrace_

distributionally robust learning

11 papers

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Also known as

DRL

Co-occurring keywords · papers mentioning both

distribution shift (3) semi-supervised learning (3) unlabeled data (2) min-max optimization (2) generalization bound (2) variance reduction (2) rademacher complexity (2) sample complexity (2) active learning (2) chi-square divergence (1)

Papers

Rademacher Complexity for Distributionally Robust Learning AAAI 2026 Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage L4DC 2025 Distributionally Robust Active Learning for Gaussian Process Regression ICML 2025 Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains UAI 2024 Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach IJCAI 2023 Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023 Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization AISTATS 2022 SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NeurIPS 2022 Efficient Generalization with Distributionally Robust Learning NeurIPS 2021 Incorporating Unlabeled Data into Distributionally Robust Learning JMLR 2021 Robustness to Adversarial Perturbations in Learning from Incomplete Data NeurIPS 2019