Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2310.04357
Cited By
v1
v2
v3 (latest)
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning
International Conference on Learning Representations (ICLR), 2023
6 October 2023
Filip Szatkowski
Daniel LeJeune
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning"
5 / 5 papers shown
Mallows-type model averaging: Non-asymptotic analysis and all-subset combination
Jingfu Peng
MoMe
385
0
0
05 May 2025
Free Random Projection for In-Context Reinforcement Learning
Tomohiro Hayase
B. Collins
Nakamasa Inoue
413
0
0
09 Apr 2025
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning
Annual Conference Computational Learning Theory (COLT), 2021
Pierre C. Bellec
Yi Shen
354
14
0
03 Jan 2025
RandALO: Out-of-sample risk estimation in no time flat
Parth Nobel
Daniel LeJeune
Emmanuel J. Candès
412
3
0
15 Sep 2024
Risk and cross validation in ridge regression with correlated samples
Alexander B. Atanasov
Jacob A. Zavatone-Veth
Cengiz Pehlevan
459
8
0
08 Aug 2024
1
