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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
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Papers citing "Approximate Cross-Validation with Low-Rank Data in High Dimensions"

7 / 7 papers shown
Title
Approximate Cross-validation: Guarantees for Model Assessment and Selection
Approximate Cross-validation: Guarantees for Model Assessment and Selection
Ashia Wilson
Maximilian Kasy
Lester W. Mackey
37
23
0
02 Mar 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
106
414
0
06 Nov 2019
On the Accuracy of Influence Functions for Measuring Group Effects
On the Accuracy of Influence Functions for Measuring Group Effects
Pang Wei Koh
Kai-Siang Ang
H. Teo
Percy Liang
TDI
66
190
0
30 May 2019
On Optimal Generalizability in Parametric Learning
On Optimal Generalizability in Parametric Learning
Ahmad Beirami
Meisam Razaviyayn
Shahin Shahrampour
Vahid Tarokh
48
52
0
14 Nov 2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
J. Tropp
A. Yurtsever
Madeleine Udell
Volkan Cevher
48
81
0
18 Jun 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
169
2,878
0
14 Mar 2017
Second-Order Stochastic Optimization for Machine Learning in Linear Time
Second-Order Stochastic Optimization for Machine Learning in Linear Time
Naman Agarwal
Brian Bullins
Elad Hazan
ODL
46
102
0
12 Feb 2016