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Understanding new tasks through the lens of training data via
  exponential tilting

Understanding new tasks through the lens of training data via exponential tilting

26 May 2022
Subha Maity
Mikhail Yurochkin
Moulinath Banerjee
Yuekai Sun
ArXivPDFHTML

Papers citing "Understanding new tasks through the lens of training data via exponential tilting"

6 / 6 papers shown
Title
Exponential tilting of subweibull distributions
Exponential tilting of subweibull distributions
F. W. Townes
21
1
0
16 Jul 2024
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
Siyan Liu
Chi-Kuang Yeh
Xin Zhang
Qinglong Tian
Pengfei Li
18
0
0
13 Jul 2024
Learning the Distribution Map in Reverse Causal Performative Prediction
Learning the Distribution Map in Reverse Causal Performative Prediction
Daniele Bracale
Subha Maity
Moulinath Banerjee
Yuekai Sun
49
3
0
24 May 2024
On Tilted Losses in Machine Learning: Theory and Applications
On Tilted Losses in Machine Learning: Theory and Applications
Tian Li
Ahmad Beirami
Maziar Sanjabi
Virginia Smith
47
38
0
13 Sep 2021
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
139
368
0
09 May 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
888
0
02 Mar 2020
1