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Approximate Cross-validation: Guarantees for Model Assessment and
  Selection
v1v2 (latest)

Approximate Cross-validation: Guarantees for Model Assessment and Selection

2 March 2020
Ashia Wilson
Maximilian Kasy
Lester W. Mackey
ArXiv (abs)PDFHTML

Papers citing "Approximate Cross-validation: Guarantees for Model Assessment and Selection"

13 / 13 papers shown
Title
Failures and Successes of Cross-Validation for Early-Stopped Gradient
  Descent
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
Pratik Patil
Yuchen Wu
Robert Tibshirani
126
5
0
26 Feb 2024
Inconsistency of cross-validation for structure learning in Gaussian
  graphical models
Inconsistency of cross-validation for structure learning in Gaussian graphical models
Zhao Lyu
Wai Ming Tai
Mladen Kolar
Bryon Aragam
CML
27
0
0
28 Dec 2023
Optimizer's Information Criterion: Dissecting and Correcting Bias in
  Data-Driven Optimization
Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization
G. Iyengar
Henry Lam
Tianyu Wang
64
4
0
16 Jun 2023
Iterative Approximate Cross-Validation
Iterative Approximate Cross-Validation
Yuetian Luo
Zhimei Ren
Rina Foygel Barber
75
7
0
05 Mar 2023
Extrapolated cross-validation for randomized ensembles
Extrapolated cross-validation for randomized ensembles
Jin-Hong Du
Pratik V. Patil
Kathryn Roeder
Arun K. Kuchibhotla
69
5
0
27 Feb 2023
Algorithms that Approximate Data Removal: New Results and Limitations
Algorithms that Approximate Data Removal: New Results and Limitations
Vinith Suriyakumar
Ashia Wilson
MU
99
32
0
25 Sep 2022
Can we globally optimize cross-validation loss? Quasiconvexity in ridge
  regression
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
William T. Stephenson
Zachary Frangella
Madeleine Udell
Tamara Broderick
91
12
0
19 Jul 2021
Synthetic Data for Model Selection
Synthetic Data for Model Selection
Alon Shoshan
Nadav Bhonker
Igor Kviatkovsky
Matan Fintz
Gérard Medioni
49
5
0
03 May 2021
Leave Zero Out: Towards a No-Cross-Validation Approach for Model
  Selection
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection
Weikai Li
Chuanxing Geng
Songcan Chen
55
14
0
24 Dec 2020
Approximate Cross-Validation with Low-Rank Data in High Dimensions
Approximate Cross-Validation with Low-Rank Data in High Dimensions
William T. Stephenson
Madeleine Udell
Tamara Broderick
27
2
0
24 Aug 2020
Stochastic Optimization Forests
Stochastic Optimization Forests
Nathan Kallus
Xiaojie Mao
200
50
0
17 Aug 2020
Cross-validation Confidence Intervals for Test Error
Cross-validation Confidence Intervals for Test Error
Pierre Bayle
Alexandre Bayle
Lucas Janson
Lester W. Mackey
63
40
0
24 Jul 2020
Approximate Cross-Validation for Structured Models
Approximate Cross-Validation for Structured Models
S. Ghosh
William T. Stephenson
Tin D. Nguyen
Sameer K. Deshpande
Tamara Broderick
71
16
0
23 Jun 2020
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