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

Distributionally Robust Lyapunov Function Search Under Uncertainty L4DC 2023
Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining NIPS 2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models NIPS 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning NIPS 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis MIDL 2023
Coresets for Wasserstein Distributionally Robust Optimization Problems NIPS 2022
Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization AISTATS 2022
On Distributionally Robust Optimization and Data Rebalancing AISTATS 2022
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks AISTATS 2022
On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity ICML 2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution ICML 2022
Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning ICML 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee ICML 2022
Adversarially Robust Kernel Smoothing AISTATS 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition NIPS 2022
Adaptive Stochastic MPC under Unknown Noise Distribution L4DC 2022
Meta-learning without data via Wasserstein distributionally-robust model fusion UAI 2022
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022
Randomized Stochastic Gradient Descent Ascent AISTATS 2022
Distributionally Robust $Q$-Learning ICML 2022