Approximate Cross-Validation with Low-Rank Data in High Dimensions

24 August 2020

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 Ashia Wilson Maximilian Kasy Lester W. Mackey 37 23 0 02 Mar 2020
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 Pang Wei Koh Kai-Siang Ang H. Teo Percy Liang TDI 66 190 0 30 May 2019
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 J. Tropp A. Yurtsever Madeleine Udell Volkan Cevher 48 81 0 18 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 169 2,882 0 14 Mar 2017
Second-Order Stochastic Optimization for Machine Learning in Linear Time Naman Agarwal Brian Bullins Elad Hazan ODL 46 102 0 12 Feb 2016