Distributionally Robust Models with Parametric Likelihood Ratios

Distributionally Robust Models with Parametric Likelihood Ratios

13 April 2022

Tatsunori Hashimoto

Graham Neubig

Papers citing "Distributionally Robust Models with Parametric Likelihood Ratios"

10 / 10 papers shown

Title
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets Charita Dellaporta Patrick O'Hara Theodoros Damoulas 40 0 0 06 May 2025
Distributionally Robust Optimisation with Bayesian Ambiguity Sets Charita Dellaporta Patrick O'Hara Theodoros Damoulas 24 0 0 05 Sep 2024
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing Vincent Grari Thibault Laugel Tatsunori Hashimoto Sylvain Lamprier Marcin Detyniecki 38 2 0 27 Oct 2023
Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Xiang Wang Xiangnan He 32 24 0 17 Oct 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets Zhang-Wei Hong Aviral Kumar Sathwik Karnik Abhishek Bhandwaldar Akash Srivastava Joni Pajarinen Romain Laroche Abhishek Gupta Pulkit Agrawal OffRL 38 19 0 06 Oct 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization Ting Wu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang 46 2 0 20 May 2023
Reweighted Mixup for Subpopulation Shift Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li ... P. Zhao Qinghua Hu Bing Wu Changqing Zhang Jianhua Yao 31 3 0 09 Apr 2023
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 53 34 0 19 Sep 2022
Learning from a Biased Sample Roshni Sahoo Lihua Lei Stefan Wager 24 17 0 05 Sep 2022
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016