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Risk-Controlling Model Selection via Guided Bayesian Optimization

Risk-Controlling Model Selection via Guided Bayesian Optimization

4 December 2023
Bracha Laufer-Goldshtein
Adam Fisch
Regina Barzilay
Tommi Jaakkola
    TPM
ArXiv (abs)PDFHTML

Papers citing "Risk-Controlling Model Selection via Guided Bayesian Optimization"

5 / 5 papers shown
Title
Semi-Supervised Risk Control via Prediction-Powered Inference
Semi-Supervised Risk Control via Prediction-Powered InferenceIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Bat-Sheva Einbinder
Liran Ringel
Yaniv Romano
327
8
0
15 Dec 2024
Confident magnitude-based neural network pruning
Confident magnitude-based neural network pruning
Joaquin Alvarez
124
1
0
08 Aug 2024
Fast yet Safe: Early-Exiting with Risk Control
Fast yet Safe: Early-Exiting with Risk Control
Metod Jazbec
Alexander Timans
Tin Hadvzi Veljković
K. Sakmann
Dan Zhang
C. A. Naesseth
Eric T. Nalisnick
213
12
0
31 May 2024
Conformal Validity Guarantees Exist for Any Data Distribution (and How
  to Find Them)
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
Drew Prinster
Samuel Stanton
Anqi Liu
Suchi Saria
323
18
0
10 May 2024
Early Time Classification with Accumulated Accuracy Gap Control
Early Time Classification with Accumulated Accuracy Gap Control
Liran Ringel
Regev Cohen
Daniel Freedman
Michael Elad
Yaniv Romano
147
8
0
01 Feb 2024
1