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Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes
v1v2 (latest)

Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes

25 May 2025
I. Harel
Yonathan Wolanowsky
Gal Vardi
Nathan Srebro
Daniel Soudry
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes"

32 / 32 papers shown
RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
Sai Karthikeya Vemuri
Adithya Ashok Chalain Valapil
Tim Buchner
Joachim Denzler
153
0
0
07 Oct 2025
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis
Paul Viallard
George Deligiannidis
Umut Simsekli
383
6
0
26 Apr 2024
How Uniform Random Weights Induce Non-uniform Bias: Typical
  Interpolating Neural Networks Generalize with Narrow Teachers
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
G. Buzaglo
I. Harel
Mor Shpigel Nacson
Alon Brutzkus
Nathan Srebro
Daniel Soudry
401
10
0
09 Feb 2024
Time-Independent Information-Theoretic Generalization Bounds for SGLD
Time-Independent Information-Theoretic Generalization Bounds for SGLDNeural Information Processing Systems (NeurIPS), 2023
Futoshi Futami
Masahiro Fujisawa
454
12
0
02 Nov 2023
PAC-Bayes Compression Bounds So Tight That They Can Explain
  Generalization
PAC-Bayes Compression Bounds So Tight That They Can Explain GeneralizationNeural Information Processing Systems (NeurIPS), 2022
Sanae Lotfi
Marc Finzi
Sanyam Kapoor
Andres Potapczynski
Micah Goldblum
A. Wilson
BDLMLTAI4CE
260
79
0
24 Nov 2022
Stability and Generalization Analysis of Gradient Methods for Shallow
  Neural Networks
Stability and Generalization Analysis of Gradient Methods for Shallow Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Yunwen Lei
Rong Jin
Yiming Ying
MLT
352
26
0
19 Sep 2022
Time-independent Generalization Bounds for SGLD in Non-convex Settings
Time-independent Generalization Bounds for SGLD in Non-convex Settings
Tyler Farghly
Patrick Rebeschini
256
29
0
25 Nov 2021
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
722
272
0
21 Oct 2021
Stochastic Training is Not Necessary for Generalization
Stochastic Training is Not Necessary for Generalization
Jonas Geiping
Micah Goldblum
Phillip E. Pope
Michael Moeller
Tom Goldstein
533
82
0
29 Sep 2021
Random Neural Networks in the Infinite Width Limit as Gaussian Processes
Random Neural Networks in the Infinite Width Limit as Gaussian Processes
Boris Hanin
BDL
323
61
0
04 Jul 2021
Learning with Gradient Descent and Weakly Convex Losses
Learning with Gradient Descent and Weakly Convex LossesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Dominic Richards
Michael G. Rabbat
MLT
271
19
0
13 Jan 2021
On the role of data in PAC-Bayes bounds
On the role of data in PAC-Bayes bounds
Gintare Karolina Dziugaite
Kyle Hsu
W. Gharbieh
Gabriel Arpino
Daniel M. Roy
346
84
0
19 Jun 2020
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex
  Learning
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex LearningInternational Conference on Learning Representations (ICLR), 2019
Jian Li
Xuanyuan Luo
Mingda Qiao
641
95
0
02 Feb 2019
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Arthur Jacot
Franck Gabriel
Clément Hongler
3.5K
3,867
0
20 Jun 2018
Gaussian Process Behaviour in Wide Deep Neural Networks
Gaussian Process Behaviour in Wide Deep Neural Networks
A. G. Matthews
Mark Rowland
Jiri Hron
Richard Turner
Zoubin Ghahramani
BDL
617
606
0
30 Apr 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks
A Mean Field View of the Landscape of Two-Layers Neural Networks
Song Mei
Andrea Montanari
Phan-Minh Nguyen
MLT
507
960
0
18 Apr 2018
Stronger generalization bounds for deep nets via a compression approach
Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora
Rong Ge
Behnam Neyshabur
Yi Zhang
MLTAI4CE
800
694
0
14 Feb 2018
Size-Independent Sample Complexity of Neural Networks
Size-Independent Sample Complexity of Neural Networks
Noah Golowich
Alexander Rakhlin
Ohad Shamir
661
616
0
18 Dec 2017
Deep Neural Networks as Gaussian Processes
Deep Neural Networks as Gaussian Processes
Jaehoon Lee
Yasaman Bahri
Roman Novak
S. Schoenholz
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
UQCVBDL
1.0K
1,216
0
01 Nov 2017
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical
  Viewpoints
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
Wenlong Mou
Liwei Wang
Xiyu Zhai
Kai Zheng
MLT
273
174
0
19 Jul 2017
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
989
1,390
0
26 Jun 2017
Implicit Regularization in Matrix Factorization
Implicit Regularization in Matrix Factorization
Suriya Gunasekar
Blake E. Woodworth
Srinadh Bhojanapalli
Behnam Neyshabur
Nathan Srebro
447
555
0
25 May 2017
Information-theoretic analysis of generalization capability of learning
  algorithms
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu
Maxim Raginsky
613
528
0
22 May 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural
  Networks with Many More Parameters than Training Data
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite
Daniel M. Roy
584
926
0
31 Mar 2017
How to Escape Saddle Points Efficiently
How to Escape Saddle Points Efficiently
Chi Jin
Rong Ge
Praneeth Netrapalli
Sham Kakade
Sai Li
ODL
576
916
0
02 Mar 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a
  nonasymptotic analysis
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysisAnnual Conference Computational Learning Theory (COLT), 2017
Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
476
567
0
13 Feb 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
955
5,020
0
10 Nov 2016
How much does your data exploration overfit? Controlling bias via
  information usage
How much does your data exploration overfit? Controlling bias via information usage
D. Russo
James Zou
293
219
0
16 Nov 2015
Train faster, generalize better: Stability of stochastic gradient
  descent
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt
Benjamin Recht
Y. Singer
559
1,390
0
03 Sep 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
1.4K
20,336
0
06 Feb 2015
Rényi Divergence and Kullback-Leibler Divergence
Rényi Divergence and Kullback-Leibler DivergenceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2012
T. Erven
P. Harremoes
460
1,522
0
12 Jun 2012
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
735
511
0
03 Dec 2007
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