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Malign Overfitting: Interpolation Can Provably Preclude Invariance

Malign Overfitting: Interpolation Can Provably Preclude Invariance

28 November 2022
Yoav Wald
G. Yona
Uri Shalit
Y. Carmon
ArXivPDFHTML

Papers citing "Malign Overfitting: Interpolation Can Provably Preclude Invariance"

15 / 15 papers shown
Title
Unsupervised Invariant Risk Minimization
Unsupervised Invariant Risk Minimization
Yotam Norman
Ron Meir
OOD
33
0
0
18 May 2025
The Calibration Generalization Gap
The Calibration Generalization Gap
Annabelle Carrell
Neil Rohit Mallinar
James Lucas
Preetum Nakkiran
UQCV
46
18
0
05 Oct 2022
Importance Tempering: Group Robustness for Overparameterized Models
Importance Tempering: Group Robustness for Overparameterized Models
Yiping Lu
Wenlong Ji
Zachary Izzo
Lexing Ying
50
7
0
19 Sep 2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous
  Information
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information
Yonathan Efroni
Dylan J. Foster
Dipendra Kumar Misra
A. Krishnamurthy
John Langford
OffRL
38
25
0
09 Jun 2022
PAC Generalization via Invariant Representations
PAC Generalization via Invariant Representations
Advait Parulekar
Karthikeyan Shanmugam
Sanjay Shakkottai
55
3
0
30 May 2022
Out-of-distribution Generalization in the Presence of Nuisance-Induced
  Spurious Correlations
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
A. Puli
Lily H. Zhang
Eric K. Oermann
Rajesh Ranganath
OOD
OODD
45
49
0
29 Jun 2021
Causally motivated Shortcut Removal Using Auxiliary Labels
Causally motivated Shortcut Removal Using Auxiliary Labels
Maggie Makar
Ben Packer
D. Moldovan
Davis W. Blalock
Yoni Halpern
Alexander DÁmour
OOD
CML
49
72
0
13 May 2021
Underspecification Presents Challenges for Credibility in Modern Machine
  Learning
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander DÁmour
Katherine A. Heller
D. Moldovan
Ben Adlam
B. Alipanahi
...
Kellie Webster
Steve Yadlowsky
T. Yun
Xiaohua Zhai
D. Sculley
OffRL
89
681
0
06 Nov 2020
Empirical or Invariant Risk Minimization? A Sample Complexity
  Perspective
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Kartik Ahuja
Jun Wang
Amit Dhurandhar
Karthikeyan Shanmugam
Kush R. Varshney
OOD
48
79
0
30 Oct 2020
Understanding the Failure Modes of Out-of-Distribution Generalization
Understanding the Failure Modes of Out-of-Distribution Generalization
Vaishnavh Nagarajan
Anders Andreassen
Behnam Neyshabur
OOD
OODD
29
177
0
29 Oct 2020
Environment Inference for Invariant Learning
Environment Inference for Invariant Learning
Elliot Creager
J. Jacobsen
R. Zemel
OOD
31
376
0
14 Oct 2020
On the Universality of Invariant Networks
On the Universality of Invariant Networks
Haggai Maron
Ethan Fetaya
Nimrod Segol
Y. Lipman
OOD
35
238
0
27 Jan 2019
Confounding variables can degrade generalization performance of
  radiological deep learning models
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
35
1,165
0
02 Jul 2018
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
27
3,123
0
06 Jul 2016
Causal inference using invariant prediction: identification and
  confidence intervals
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
62
961
0
06 Jan 2015
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