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A Bayesian Perspective on Training Speed and Model Selection

A Bayesian Perspective on Training Speed and Model Selection

27 October 2020
Clare Lyle
Lisa Schut
Binxin Ru
Y. Gal
Mark van der Wilk
ArXivPDFHTML

Papers citing "A Bayesian Perspective on Training Speed and Model Selection"

13 / 13 papers shown
Title
Early Stopping Against Label Noise Without Validation Data
Early Stopping Against Label Noise Without Validation Data
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
96
14
0
11 Feb 2025
SAVA: Scalable Learning-Agnostic Data Valuation
SAVA: Scalable Learning-Agnostic Data Valuation
Samuel Kessler
Tam Le
Vu Nguyen
TDI
51
0
0
03 Jun 2024
Leveraging Unlabeled Data to Track Memorization
Leveraging Unlabeled Data to Track Memorization
Mahsa Forouzesh
Hanie Sedghi
Patrick Thiran
NoLa
TDI
30
3
0
08 Dec 2022
Cold Posteriors through PAC-Bayes
Cold Posteriors through PAC-Bayes
Konstantinos Pitas
Julyan Arbel
23
5
0
22 Jun 2022
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian
  Inference, Active Learning, and Active Sampling
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling
Andreas Kirsch
Jannik Kossen
Y. Gal
UQCV
BDL
44
3
0
18 May 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
52
56
0
23 Feb 2022
Unsupervised Model Drift Estimation with Batch Normalization Statistics
  for Dataset Shift Detection and Model Selection
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection
Won-Jo Lee
Seokhyun Byun
Jooeun Kim
Minje Park
Kirill Chechil
AI4TS
19
2
0
01 Jul 2021
Repulsive Deep Ensembles are Bayesian
Repulsive Deep Ensembles are Bayesian
Francesco DÁngelo
Vincent Fortuin
UQCV
BDL
43
93
0
22 Jun 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
29
124
0
14 May 2021
Speedy Performance Estimation for Neural Architecture Search
Speedy Performance Estimation for Neural Architecture Search
Binxin Ru
Clare Lyle
Lisa Schut
M. Fil
Mark van der Wilk
Y. Gal
13
35
0
08 Jun 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
107
146
0
06 Nov 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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
282
9,136
0
06 Jun 2015
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