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Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural
  Networks

Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks

28 April 2019
Koby Bibas
Yaniv Fogel
M. Feder
    BDL
ArXivPDFHTML

Papers citing "Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks"

3 / 3 papers shown
Title
Beyond Ridge Regression for Distribution-Free Data
Beyond Ridge Regression for Distribution-Free Data
Koby Bibas
M. Feder
17
0
0
17 Jun 2022
A New Look at an Old Problem: A Universal Learning Approach to Linear
  Regression
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression
Koby Bibas
Yaniv Fogel
M. Feder
11
34
0
12 May 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1