Learning Models with Uniform Performance via Distributionally Robust Optimization

20 October 2018

Papers citing "Learning Models with Uniform Performance via Distributionally Robust Optimization"

49 / 99 papers shown

Title
Learning from a Biased Sample Roshni Sahoo Lihua Lei Stefan Wager 27 17 0 05 Sep 2022
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 22 8 0 22 Aug 2022
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity Laixi Shi Yuejie Chi OOD OffRL 37 61 0 11 Aug 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 36 17 0 29 Jun 2022
Supervised Learning with General Risk Functionals Liu Leqi Audrey Huang Zachary Chase Lipton Kamyar Azizzadenesheli 25 5 0 27 Jun 2022
MBGDT:Robust Mini-Batch Gradient Descent Hanming Wang Haozheng Luo Yue Wang 21 4 0 14 Jun 2022
Communication-Efficient Distributionally Robust Decentralized Learning Matteo Zecchin Marios Kountouris David Gesbert 25 9 0 31 May 2022
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel Tatsunori Hashimoto Graham Neubig OOD 30 15 0 13 Apr 2022
Flexible risk design using bi-directional dispersion Matthew J. Holland 38 6 0 28 Mar 2022
Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages Ehsan Aghazadeh Mohsen Fayyaz Yadollah Yaghoobzadeh 33 51 0 26 Mar 2022
Distributionally Robust Optimization via Ball Oracle Acceleration Y. Carmon Danielle Hausler 23 12 0 24 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning Alex Gu Songtao Lu Parikshit Ram Tsui-Wei Weng 51 10 0 03 Mar 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach Wenshuo Guo Mingzhang Yin Yixin Wang Michael I. Jordan 31 19 0 22 Feb 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints R. Arghal Eric Lei Shirin Saeedi Bidokhti 19 19 0 14 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 27 3 0 30 Nov 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 38 51 0 29 Nov 2021
Boosted CVaR Classification Runtian Zhai Chen Dan A. Suggala Zico Kolter Pradeep Ravikumar 16 16 0 26 Oct 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis Jikai Jin Samir Bhatt Haiyang Wang Liwei Wang 32 48 0 24 Oct 2021
Out-of-Distribution Robustness in Deep Learning Compression Eric Lei Hamed Hassani Shirin Saeedi Bidokhti OOD OODD 11 5 0 13 Oct 2021
A Survey of Learning Criteria Going Beyond the Usual Risk Matthew J. Holland Kazuki Tanabe FaML 26 4 0 11 Oct 2021
Focus on the Common Good: Group Distributional Robustness Follows Vihari Piratla Praneeth Netrapalli Sunita Sarawagi OOD 33 25 0 06 Oct 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 69 519 0 31 Aug 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 29 22 0 27 Aug 2021
Preventing dataset shift from breaking machine-learning biomarkers Jéroome Dockes Gaël Varoquaux J B Poline OOD 30 64 0 21 Jul 2021
Test for non-negligible adverse shifts Vathy M. Kamulete 20 3 0 07 Jul 2021
DORO: Distributional and Outlier Robust Optimization Runtian Zhai Chen Dan J. Zico Kolter Pradeep Ravikumar 33 60 0 11 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao Shiyu Chang Regina Barzilay 27 20 0 26 May 2021
Heterogeneous Risk Minimization Jiashuo Liu Zheyuan Hu Peng Cui Yangqiu Song Zheyan Shen OOD 17 141 0 09 May 2021
The $s$ -value: evaluating stability with respect to distributional shifts Suyash Gupta Dominik Rothenhausler 39 16 0 07 May 2021
Off-Policy Risk Assessment in Contextual Bandits Audrey Huang Liu Leqi Zachary Chase Lipton Kamyar Azizzadenesheli OffRL 27 36 0 18 Apr 2021
Achieving Efficiency in Black Box Simulation of Distribution Tails with Self-structuring Importance Samplers Anand Deo Karthyek Murthy 25 10 0 14 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,386 0 14 Dec 2020
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu Rong Jin W. Yin Tianbao Yang ODL 31 12 0 13 Dec 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 39 39 0 29 Oct 2020
Evaluating Model Robustness and Stability to Dataset Shift Adarsh Subbaswamy R. Adams Suchi Saria OOD 26 9 0 28 Oct 2020
Coping with Label Shift via Distributionally Robust Optimisation Jiaming Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 24 70 0 23 Oct 2020
Robust Validation: Confident Predictions Even When Distributions Shift Maxime Cauchois Suyash Gupta Alnur Ali John C. Duchi OOD 24 91 0 10 Aug 2020
Distributionally Robust Losses for Latent Covariate Mixtures John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 18 79 0 28 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 48 537 0 01 Jul 2020
Learning Optimal Distributionally Robust Individualized Treatment Rules Weibin Mo Zhengling Qi Yufeng Liu 39 47 0 26 Jun 2020
Robust Grouped Variable Selection Using Distributionally Robust Optimization Ruidi Chen I. Paschalidis OOD 22 3 0 10 Jun 2020
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning Mert Gurbuzbalaban A. Ruszczynski Landi Zhu 26 9 0 08 Jun 2020
Stable Adversarial Learning under Distributional Shifts Jiashuo Liu Zheyan Shen Peng Cui Linjun Zhou Kun Kuang Yangqiu Song Yishi Lin OOD 27 30 0 08 Jun 2020
Class-Weighted Classification: Trade-offs and Robust Approaches Ziyu Xu Chen Dan Justin Khim Pradeep Ravikumar 24 39 0 26 May 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 27 118 0 21 Feb 2020
On Robust Mean Estimation under Coordinate-level Corruption Zifan Liu Jongho Park Theodoros Rekatsinas Christos Tzamos 33 8 0 10 Feb 2020
Less Is Better: Unweighted Data Subsampling via Influence Function Zifeng Wang Hong Zhu Zhenhua Dong Xiuqiang He Shao-Lun Huang TDI 28 51 0 03 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 16 1,200 0 20 Nov 2019
Maximum Weighted Loss Discrepancy Fereshte Khani Aditi Raghunathan Percy Liang 15 16 0 08 Jun 2019