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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

Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine NIPS 2020
Data-driven distributionally robust LQR with multiplicative noise L4DC 2020
Distributionally Robust Parametric Maximum Likelihood Estimation NIPS 2020
Learning Student Networks with Few Data AAAI 2020
Distributionally Robust Counterfactual Risk Minimization AAAI 2020
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning AISTATS 2020
Distributionally Robust Federated Averaging NIPS 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems NIPS 2020
Distributionally Robust Bayesian Optimization AISTATS 2020
Correlation Robust Influence Maximization NIPS 2020
Distributionally Robust Local Non-parametric Conditional Estimation NIPS 2020
Distributionally Robust Optimization and Generalization in Kernel Methods NIPS 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NIPS 2019
Robust Online Matching with User Arrival Distribution Drift AAAI 2019
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression NIPS 2019
Distributionally Robust Submodular Maximization AISTATS 2019
Differentiable Convex Optimization Layers NIPS 2019
Distributionally Robust Language Modeling EMNLP 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing AAAI 2019
Regularization via Mass Transportation JMLR 2019
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization NIPS 2019
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NIPS 2019
Distributionally Robust Language Modeling IJCNLP 2019
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NIPS 2019
Fairness Without Demographics in Repeated Loss Minimization ICML 2018