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Accounting for Unobserved Confounding in Domain Generalization
v1v2v3v4v5v6 (latest)

Accounting for Unobserved Confounding in Domain Generalization

21 July 2020
Alexis Bellot
M. Schaar
    CMLOOD
ArXiv (abs)PDFHTML

Papers citing "Accounting for Unobserved Confounding in Domain Generalization"

14 / 14 papers shown
Why Do Probabilistic Clinical Models Fail To Transport Between Sites?
Why Do Probabilistic Clinical Models Fail To Transport Between Sites?
Thomas A. Lasko
Eric V. Strobl
William W Stead
OOD
349
23
0
08 Nov 2023
Learning Optimal Features via Partial Invariance
Learning Optimal Features via Partial InvarianceAAAI Conference on Artificial Intelligence (AAAI), 2023
Moulik Choraria
Ibtihal Ferwana
Ankur Mani
Lav Varshney
OOD
288
3
0
28 Jan 2023
Direct-Effect Risk Minimization for Domain Generalization
Direct-Effect Risk Minimization for Domain Generalization
Yuhui Li
Zejia Wu
Chao Zhang
Hongyang R. Zhang
OOD
361
0
0
26 Nov 2022
Domain Generalization -- A Causal Perspective
Domain Generalization -- A Causal Perspective
Paras Sheth
Raha Moraffah
K. S. Candan
A. Raglin
Huan Liu
CMLOOD
354
23
0
30 Sep 2022
Bias Challenges in Counterfactual Data Augmentation
Bias Challenges in Counterfactual Data Augmentation
S Chandra Mouli
Yangze Zhou
Bruno Ribeiro
CMLOODOODD
363
6
0
12 Sep 2022
Causal Balancing for Domain Generalization
Causal Balancing for Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2022
Xinyi Wang
Michael Stephen Saxon
Jiachen Li
Hongyang R. Zhang
Kun Zhang
William Yang Wang
OODCML
359
30
0
10 Jun 2022
Variational Disentanglement for Domain Generalization
Variational Disentanglement for Domain Generalization
Yufei Wang
Haoliang Li
Hao Cheng
Bihan Wen
Lap-Pui Chau
Alex C. Kot
OODDRL
390
35
0
13 Sep 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced
  Spurious Correlations
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious CorrelationsInternational Conference on Learning Representations (ICLR), 2021
N. Jethani
Lily H. Zhang
Eric K. Oermann
Rajesh Ranganath
OODOODD
333
49
0
29 Jun 2021
Improved and efficient inter-vehicle distance estimation using road
  gradients of both ego and target vehicles
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehiclesInternational Conference on Autonomic and Autonomous Systems (ICAAS), 2021
Robik Shrestha
Jinkyu Lee
Kushal Kafle
S. Hwang
Il Yong Chun
209
13
0
01 Apr 2021
Deconfounded Score Method: Scoring DAGs with Dense Unobserved
  Confounding
Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding
Alexis Bellot
M. Schaar
CML
253
12
0
28 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OODAI4CE
1.1K
1,450
0
03 Mar 2021
Regularizing towards Causal Invariance: Linear Models with Proxies
Regularizing towards Causal Invariance: Linear Models with ProxiesInternational Conference on Machine Learning (ICML), 2021
Michael Oberst
Nikolaj Thams
J. Peters
David Sontag
OOD
263
29
0
03 Mar 2021
Model-Based Domain Generalization
Model-Based Domain GeneralizationNeural Information Processing Systems (NeurIPS), 2021
Avi Schwarzschild
George J. Pappas
Hamed Hassani
OOD
429
154
0
23 Feb 2021
When is invariance useful in an Out-of-Distribution Generalization
  problem ?
When is invariance useful in an Out-of-Distribution Generalization problem ?
Masanori Koyama
Shoichiro Yamaguchi
OOD
397
73
0
04 Aug 2020
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