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Formal Limitations on the Measurement of Mutual Information

Formal Limitations on the Measurement of Mutual Information

10 November 2018
David A. McAllester
K. Stratos
    SSL
ArXivPDFHTML

Papers citing "Formal Limitations on the Measurement of Mutual Information"

50 / 69 papers shown
Title
A Tutorial on Discriminative Clustering and Mutual Information
A Tutorial on Discriminative Clustering and Mutual Information
Louis Ohl
Pierre-Alexandre Mattei
F. Precioso
32
0
0
07 May 2025
Toward Efficient Exploration by Large Language Model Agents
Toward Efficient Exploration by Large Language Model Agents
Dilip Arumugam
Thomas L. Griffiths
LLMAG
94
1
0
29 Apr 2025
Fair Text Classification via Transferable Representations
Thibaud Leteno
Michael Perrot
Charlotte Laclau
Antoine Gourru
Christophe Gravier
FaML
88
0
0
10 Mar 2025
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
Alberto Foresti
Giulio Franzese
Pietro Michiardi
82
0
0
26 Feb 2025
A Neural Difference-of-Entropies Estimator for Mutual Information
A Neural Difference-of-Entropies Estimator for Mutual Information
Haoran Ni
Martin Lotz
SSL
DRL
91
0
0
18 Feb 2025
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
I. Butakov
Alexander Sememenko
Alexander Tolmachev
Andrey Gladkov
Marina Munkhoeva
Alexey Frolov
37
0
0
09 Oct 2024
Bounds on Lp errors in density ratio estimation via f-divergence loss functions
Bounds on Lp errors in density ratio estimation via f-divergence loss functions
Yoshiaki Kitazawa
21
0
0
02 Oct 2024
Learning Deep Kernels for Non-Parametric Independence Testing
Learning Deep Kernels for Non-Parametric Independence Testing
Nathaniel Xu
Feng Liu
Danica J. Sutherland
BDL
34
0
0
10 Sep 2024
Information Theoretic Text-to-Image Alignment
Information Theoretic Text-to-Image Alignment
Chao Wang
Giulio Franzese
A. Finamore
Massimo Gallo
Pietro Michiardi
75
0
0
31 May 2024
Learning to Maximize Mutual Information for Chain-of-Thought
  Distillation
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
Xin Chen
Hanxian Huang
Yanjun Gao
Yi Wang
Jishen Zhao
Ke Ding
35
12
0
05 Mar 2024
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev
  inequalities
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities
Fengyi Li
Ayoub Belhadji
Youssef Marzouk
30
1
0
23 Feb 2024
TREET: TRansfer Entropy Estimation via Transformers
TREET: TRansfer Entropy Estimation via Transformers
Omer Luxembourg
Dor Tsur
Haim Permuter
27
1
0
10 Feb 2024
Training on Synthetic Data Beats Real Data in Multimodal Relation
  Extraction
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
35
1
0
05 Dec 2023
Quantifying the redundancy between prosody and text
Quantifying the redundancy between prosody and text
Lukas Wolf
Tiago Pimentel
Evelina Fedorenko
Ryan Cotterell
Alex Warstadt
Ethan Gotlieb Wilcox
Tamar I. Regev
33
10
0
28 Nov 2023
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
62
1
0
08 Nov 2023
Safety Performance of Neural Networks in the Presence of Covariate Shift
Safety Performance of Neural Networks in the Presence of Covariate Shift
Chih-Hong Cheng
Harald Ruess
K. Theodorou
30
1
0
24 Jul 2023
Mutual Wasserstein Discrepancy Minimization for Sequential
  Recommendation
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
Ziwei Fan
Zhiwei Liu
Hao Peng
Philip S Yu
29
15
0
28 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised
  Learning
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
20
9
0
27 Dec 2022
Statistical Physics of Deep Neural Networks: Initialization toward
  Optimal Channels
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels
Kangyu Weng
Aohua Cheng
Ziyang Zhang
Pei Sun
Yang Tian
53
2
0
04 Dec 2022
Interpretability with full complexity by constraining feature
  information
Interpretability with full complexity by constraining feature information
Kieran A. Murphy
Danielle Bassett
FAtt
35
5
0
30 Nov 2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint
  of Training Regression Systems
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
Jirong Yi
Q. Zhang
Zhengbo Chen
Qiaoan Liu
Weizhuo Shao
Yusen He
Yao Wang
SSL
28
0
0
23 Nov 2022
Characterizing information loss in a chaotic double pendulum with the
  Information Bottleneck
Characterizing information loss in a chaotic double pendulum with the Information Bottleneck
Kieran A. Murphy
Danielle Bassett
13
0
0
25 Oct 2022
Greedy Modality Selection via Approximate Submodular Maximization
Greedy Modality Selection via Approximate Submodular Maximization
Runxiang Cheng
Gargi Balasubramaniam
Yifei He
Yao-Hung Hubert Tsai
Han Zhao
21
1
0
22 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
40
3
0
07 Oct 2022
Mutual Information Learned Classifiers: an Information-theoretic
  Viewpoint of Training Deep Learning Classification Systems
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems
Jirong Yi
Q. Zhang
Zhenji Chen
Qiaoan Liu
Weizhuo Shao
SSL
FedML
34
3
0
21 Sep 2022
Dataset Inference for Self-Supervised Models
Dataset Inference for Self-Supervised Models
Adam Dziedzic
Haonan Duan
Muhammad Ahmad Kaleem
Nikita Dhawan
Jonas Guan
Yannis Cattan
Franziska Boenisch
Nicolas Papernot
32
26
0
16 Sep 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
Kyungmin Lee
Jinwoo Shin
SSL
DRL
34
10
0
12 Aug 2022
Crosslinguistic word order variation reflects evolutionary pressures of
  dependency and information locality
Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality
Michael Hahn
Yang Xu
11
18
0
09 Jun 2022
Data-Driven Estimation of Capacity Upper Bounds
Data-Driven Estimation of Capacity Upper Bounds
Christian Hager
E. Agrell
33
2
0
13 May 2022
Learning Disentangled Textual Representations via Statistical Measures
  of Similarity
Learning Disentangled Textual Representations via Statistical Measures of Similarity
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
FaML
DRL
38
22
0
07 May 2022
A Differential Entropy Estimator for Training Neural Networks
A Differential Entropy Estimator for Training Neural Networks
Georg Pichler
Pierre Colombo
Malik Boudiaf
Günther Koliander
Pablo Piantanida
25
21
0
14 Feb 2022
Robust Contrastive Learning against Noisy Views
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
13
68
0
12 Jan 2022
CLIP-Lite: Information Efficient Visual Representation Learning with
  Language Supervision
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
A. Shrivastava
Ramprasaath R. Selvaraju
Nikhil Naik
Vicente Ordonez
VLM
CLIP
30
6
0
14 Dec 2021
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
Siladittya Manna
Umapada Pal
Saumik Bhattacharya
SSL
35
1
0
24 Nov 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without
  Likelihoods
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
Desi R. Ivanova
Adam Foster
Steven Kleinegesse
Michael U. Gutmann
Tom Rainforth
OffRL
21
46
0
03 Nov 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
G. Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLM
CLIP
207
102
0
21 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
61
31
0
06 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao
Yoshihiro Nagano
Kento Nozawa
SSL
UQCV
41
19
0
06 Oct 2021
A Bayesian Framework for Information-Theoretic Probing
A Bayesian Framework for Information-Theoretic Probing
Tiago Pimentel
Ryan Cotterell
28
24
0
08 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
Baoyu Jing
Shengyu Feng
Yuejia Xiang
Xi Chen
Yu Chen
Hanghang Tong
41
27
0
08 Sep 2021
Improving Multimodal fusion via Mutual Dependency Maximisation
Improving Multimodal fusion via Mutual Dependency Maximisation
Pierre Colombo
E. Chapuis
Matthieu Labeau
Chloé Clavel
15
30
0
31 Aug 2021
M2IOSR: Maximal Mutual Information Open Set Recognition
M2IOSR: Maximal Mutual Information Open Set Recognition
Xin Sun
Henghui Ding
Chi Zhang
Guosheng Lin
K. Ling
23
17
0
05 Aug 2021
Clustering by Maximizing Mutual Information Across Views
Clustering by Maximizing Mutual Information Across Views
Kien Do
T. Tran
Svetha Venkatesh
VLM
SSL
11
37
0
24 Jul 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
Duhun Hwang
Eunjung Lee
Wonjong Rhee
AAML
167
14
0
14 Jul 2021
Decomposed Mutual Information Estimation for Contrastive Representation
  Learning
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Alessandro Sordoni
Nouha Dziri
Hannes Schulz
Geoffrey J. Gordon
Philip Bachman
Rémi Tachet des Combes
SSL
24
29
0
25 Jun 2021
Which Mutual-Information Representation Learning Objectives are
  Sufficient for Control?
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
26
38
0
14 Jun 2021
InfoBehavior: Self-supervised Representation Learning for Ultra-long
  Behavior Sequence via Hierarchical Grouping
InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping
Runshi Liu
Pengda Qin
Yuhong Li
Weigao Wen
Dong Li
Kefeng Deng
Qiang Wu
AI4TS
15
0
0
13 Jun 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be
  Secretly Coded into the Classifiers' Outputs
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
Mohammad Malekzadeh
Anastasia Borovykh
Deniz Gündüz
MIACV
19
42
0
25 May 2021
Tensor networks and efficient descriptions of classical data
Tensor networks and efficient descriptions of classical data
Sirui Lu
Márton Kanász-Nagy
I. Kukuljan
J. I. Cirac
24
24
0
11 Mar 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the
  Imitation Gap
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Steven Wu
22
73
0
04 Mar 2021
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