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Early Stopping is Nonparametric Variational Inference

Early Stopping is Nonparametric Variational Inference

6 April 2015
D. Maclaurin
D. Duvenaud
Ryan P. Adams
    BDL
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Papers citing "Early Stopping is Nonparametric Variational Inference"

15 / 15 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
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
Sebastian Farquhar
Vikrant Varma
David Lindner
David Elson
Caleb Biddulph
Ian Goodfellow
Rohin Shah
82
1
0
22 Jan 2025
Optimal Behavior Prior: Data-Efficient Human Models for Improved
  Human-AI Collaboration
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration
Mesut Yang
Micah Carroll
Anca Dragan
25
13
0
03 Nov 2022
Automatic Data Augmentation via Invariance-Constrained Learning
Automatic Data Augmentation via Invariance-Constrained Learning
Ignacio Hounie
Luiz F. O. Chamon
Alejandro Ribeiro
18
10
0
29 Sep 2022
VICE: Variational Interpretable Concept Embeddings
VICE: Variational Interpretable Concept Embeddings
Lukas Muttenthaler
C. Zheng
Patrick McClure
Robert A. Vandermeulen
M. Hebart
Francisco Câmara Pereira
13
17
0
02 May 2022
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects
K. Graczyk
J. Pawlowski
Sylwia Majchrowska
Tomasz Golan
14
9
0
15 Mar 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao
Yizhou Jiang
F. Chen
22
8
0
28 Jan 2022
Diversity Matters When Learning From Ensembles
Diversity Matters When Learning From Ensembles
G. Nam
Jongmin Yoon
Yoonho Lee
Juho Lee
UQCV
FedML
VLM
23
36
0
27 Oct 2021
Pathfinder: Parallel quasi-Newton variational inference
Pathfinder: Parallel quasi-Newton variational inference
Lu Zhang
Bob Carpenter
A. Gelman
Aki Vehtari
41
40
0
09 Aug 2021
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows
  and Latent Variable Models
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
16
87
0
17 Feb 2020
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation
  Networks
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks
Kira Maag
Matthias Rottmann
Hanno Gottschalk
11
34
0
12 Nov 2019
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Kelvin Xu
Ellis Ratner
Anca Dragan
Sergey Levine
Chelsea Finn
14
66
0
31 May 2018
Neural Autoregressive Flows
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRL
AI4CE
9
432
0
03 Apr 2018
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
36
684
0
15 Nov 2017
Characterizing Types of Convolution in Deep Convolutional Recurrent
  Neural Networks for Robust Speech Emotion Recognition
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition
Che-Wei Huang
Shrikanth. S. Narayanan
HAI
19
25
0
07 Jun 2017
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