Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2010.07382
Cited By
v1
v2 (latest)
Learning, compression, and leakage: Minimising classification error via meta-universal compression principles
14 October 2020
F. Rosas
P. Mediano
Michael C. Gastpar
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning, compression, and leakage: Minimising classification error via meta-universal compression principles"
4 / 4 papers shown
Title
Batch Universal Prediction
Marco Bondaschi
Michael C. Gastpar
24
3
0
06 Feb 2024
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Koby Bibas
M. Feder
Tal Hassner
OODD
79
24
0
18 Oct 2021
Distribution Free Uncertainty for the Minimum Norm Solution of Over-parameterized Linear Regression
Koby Bibas
M. Feder
35
5
0
14 Feb 2021
Sequential prediction under log-loss and misspecification
M. Feder
Yury Polyanskiy
10
8
0
29 Jan 2021
1