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Omnipredictors for Regression and the Approximate Rank of Convex
  Functions

Omnipredictors for Regression and the Approximate Rank of Convex Functions

26 January 2024
Parikshit Gopalan
Princewill Okoroafor
Prasad Raghavendra
Abhishek Shetty
Mihir Singhal
ArXivPDFHTML

Papers citing "Omnipredictors for Regression and the Approximate Rank of Convex Functions"

6 / 6 papers shown
Title
Dimension-Free Decision Calibration for Nonlinear Loss Functions
Dimension-Free Decision Calibration for Nonlinear Loss Functions
Jingwu Tang
Jiayun Wu
Zhiwei Steven Wu
Jiahao Zhang
27
0
0
22 Apr 2025
Smooth Calibration and Decision Making
Smooth Calibration and Decision Making
Jason D. Hartline
Yifan Wu
Yunran Yang
22
0
0
22 Apr 2025
Revisiting the Predictability of Performative, Social Events
Revisiting the Predictability of Performative, Social Events
Juan C. Perdomo
39
1
0
12 Mar 2025
Model Ensembling for Constrained Optimization
Model Ensembling for Constrained Optimization
Ira Globus-Harris
Varun Gupta
Michael Kearns
Aaron Roth
25
0
0
27 May 2024
Predict to Minimize Swap Regret for All Payoff-Bounded Tasks
Predict to Minimize Swap Regret for All Payoff-Bounded Tasks
Lunjia Hu
Yifan Wu
27
2
0
21 Apr 2024
Multicalibrated Regression for Downstream Fairness
Multicalibrated Regression for Downstream Fairness
Ira Globus-Harris
Varun Gupta
Christopher Jung
Michael Kearns
Jamie Morgenstern
Aaron Roth
FaML
45
11
0
15 Sep 2022
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