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Cited By
Risk-Controlling Model Selection via Guided Bayesian Optimization
4 December 2023
Bracha Laufer-Goldshtein
Adam Fisch
Regina Barzilay
Tommi Jaakkola
TPM
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Papers citing
"Risk-Controlling Model Selection via Guided Bayesian Optimization"
11 / 11 papers shown
Title
Confident magnitude-based neural network pruning
Joaquin Alvarez
37
0
0
08 Aug 2024
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
38
5
0
31 May 2024
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
Drew Prinster
Samuel Stanton
Anqi Liu
S. Saria
34
6
0
10 May 2024
Early Time Classification with Accumulated Accuracy Gap Control
Liran Ringel
Regev Cohen
Daniel Freedman
Michael Elad
Yaniv Romano
24
6
0
01 Feb 2024
Bayesian Optimization with Conformal Prediction Sets
Samuel Stanton
Wesley J. Maddox
A. Wilson
33
24
0
22 Oct 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case
Clément Chadebec
Louis J. Vincent
S. Allassonnière
DRL
34
28
0
16 Jun 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
95
125
0
03 Oct 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Difan Deng
C. Benjamins
Tim Ruhopf
René Sass
Frank Hutter
83
326
0
20 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
79
448
0
13 Jul 2021
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
176
185
0
07 Jan 2021
Controllable Pareto Multi-Task Learning
Xi Lin
Zhiyuan Yang
Qingfu Zhang
Sam Kwong
MoE
66
73
0
13 Oct 2020
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