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conftrace_

distributionally robust optimization

241 papers

DRO

Papers

Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training NeurIPS 2023 Distributionally Robust Lyapunov Function Search Under Uncertainty L4DC 2023 Distributionally Robust Optimization with Probabilistic Group AAAI 2023 Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023 Distributionally Robust Post-hoc Classifiers under Prior Shifts ICLR 2023 Distributionally Robust Recourse Action ICLR 2023 Distributionally Robust Skeleton Learning of Discrete Bayesian Networks NeurIPS 2023 DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining NeurIPS 2023 DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework NeurIPS 2023 Dropout Training is Distributionally Robust Optimal JMLR 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis MIDL 2023 Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models NeurIPS 2023 Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NeurIPS 2023 Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023 Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity ICML 2023 Learning Antidote Data to Individual Unfairness ICML 2023 Moderately Distributional Exploration for Domain Generalization ICML 2023 Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization ICML 2023 On Tilted Losses in Machine Learning: Theory and Applications JMLR 2023 Outlier-Robust Wasserstein DRO NeurIPS 2023 Predict-then-Calibrate: A New Perspective of Robust Contextual LP NeurIPS 2023 Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization ICLR 2023 Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning NeurIPS 2023 Robust Bayesian Satisficing NeurIPS 2023