Topic: distributionally-robust Goto Github
Some thing interesting about distributionally-robust
Some thing interesting about distributionally-robust
distributionally-robust,Robust Bayesian Recourse: a robust model-agnostic algorithmic recourse method (UAI'22)
User: duynht
distributionally-robust,Do Domain Generalization Methods Generalize Well? (Workshop on Machine Learning Safety at NeurIPS 2022).
Organization: hammlab
distributionally-robust,End-to-end distributionally robust optimization
Organization: iyengar-lab
distributionally-robust,Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.
User: krishnap25
Home Page: https://krishnap25.github.io/sqwash/
distributionally-robust,Code for: "Adversarial Regression with Doubly Non-Negative Weighting Matrices" -- NeurIPS, 2021. (Tam Le*, Truyen Nguyen*, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen)
User: lttam
distributionally-robust,[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".
Organization: openmatch
Home Page: https://arxiv.org/abs/2210.15212
distributionally-robust,Robust Bayesian Recourse: a robust model-agnostic algorithmic recourse method (UAI'22)
Organization: vinairesearch
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