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Domain constraints improve risk prediction when outcome data is missing

Domain constraints improve risk prediction when outcome data is missing

6 December 2023
S. Balachandar
Nikhil Garg
Emma Pierson
    CML
    OOD
ArXivPDFHTML

Papers citing "Domain constraints improve risk prediction when outcome data is missing"

7 / 7 papers shown
Title
Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection
Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection
Matt W Franchi
N. Garg
Wendy Ju
Emma Pierson
49
1
0
18 Mar 2025
Learning Disease Progression Models That Capture Health Disparities
Learning Disease Progression Models That Capture Health Disparities
Erica Chiang
Divya Shanmugam
Ashley N. Beecy
Gabriel Sayer
Nir Uriel
Deborah Estrin
N. Garg
70
0
0
20 Dec 2024
Addressing Discretization-Induced Bias in Demographic Prediction
Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong
Aaron Schein
Yixin Wang
Nikhil Garg
32
3
0
27 May 2024
A Bayesian Spatial Model to Correct Under-Reporting in Urban
  Crowdsourcing
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
Gabriel Agostini
Emma Pierson
Nikhil Garg
26
3
0
18 Dec 2023
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
J.D. Zamfirescu-Pereira
Jerry Chen
Emily Wen
Allison Koenecke
N. Garg
Emma Pierson
11
5
0
15 May 2022
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
215
201
0
21 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,949
0
04 May 2020
1