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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

Distributionally Robust Recurrent Decoders with Random Network Distillation ACL 2022
COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning EMNLP 2022
Tencent’s Multilingual Machine Translation System for WMT22 Large-Scale African Languages EMNLP 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions NIPS 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NIPS 2022
Wasserstein Logistic Regression with Mixed Features NIPS 2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NIPS 2022
Distributionally robust weighted k-nearest neighbors NIPS 2022
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm NIPS 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints NIPS 2022
Coordinate Linear Variance Reduction for Generalized Linear Programming NIPS 2022
Beyond IID: data-driven decision-making in heterogeneous environments NIPS 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization AAAI 2022
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract) AAAI 2022
Distributionally Robust Finetuning BERT for Covariate Drift in Spoken Language Understanding ACL 2022
Moment Distributionally Robust Tree Structured Prediction NIPS 2022
Distributionally Robust Optimization with Data Geometry NIPS 2022
Distributionally Robust Optimization via Ball Oracle Acceleration NIPS 2022
First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021
Wasserstein Distributionally Robust Inverse Multiobjective Optimization AAAI 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers ICML 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation AISTATS 2021
Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach L4DC 2021
Distributionally Robust Imitation Learning NIPS 2021