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The deterministic information bottleneck
v1v2 (latest)

The deterministic information bottleneck

1 April 2016
D. Strouse
D. Schwab
ArXiv (abs)PDFHTML

Papers citing "The deterministic information bottleneck"

35 / 35 papers shown
Title
A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
Efthymios Costa
Ioanna Papatsouma
Angelos Markos
41
0
0
03 Jul 2024
Understanding Encoder-Decoder Structures in Machine Learning Using
  Information Measures
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures
Jorge F. Silva
Victor Faraggi
Camilo Ramírez
Álvaro F. Egaña
Eduardo Pavez
64
1
0
30 May 2024
Elastic Information Bottleneck
Elastic Information Bottleneck
Yuyan Ni
Yanyan Lan
Ao Liu
Zhiming Ma
103
2
0
07 Nov 2023
A Linear Programming Approach for Resource-Aware Information-Theoretic
  Tree Abstractions
A Linear Programming Approach for Resource-Aware Information-Theoretic Tree Abstractions
Daniel T. Larsson
Dipankar Maity
Panagiotis Tsiotras
33
2
0
08 Aug 2022
Bounding generalization error with input compression: An empirical study
  with infinite-width networks
Bounding generalization error with input compression: An empirical study with infinite-width networks
A. Galloway
A. Golubeva
Mahmoud Salem
Mihai Nica
Yani Andrew Ioannou
Graham W. Taylor
MLTAI4CE
76
4
0
19 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among
  Complexity, Leakage, and Utility
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Behrooz Razeghi
Flavio du Pin Calmon
Deniz Gunduz
Svyatoslav Voloshynovskiy
58
16
0
11 Jul 2022
Classification Utility, Fairness, and Compactness via Tunable
  Information Bottleneck and Rényi Measures
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures
A. Gronowski
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
FaML
95
3
0
20 Jun 2022
Optimal Randomized Approximations for Matrix based Renyi's Entropy
Optimal Randomized Approximations for Matrix based Renyi's Entropy
Yuxin Dong
Tieliang Gong
Shujian Yu
Chen Li
75
8
0
16 May 2022
Conditional entropy minimization principle for learning domain invariant
  representation features
Conditional entropy minimization principle for learning domain invariant representation features
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
75
8
0
25 Jan 2022
Studying the Interplay between Information Loss and Operation Loss in
  Representations for Classification
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
Jorge F. Silva
Felipe A. Tobar
Mario L. Vicuna
Felipe Cordova
56
2
0
30 Dec 2021
Gated Information Bottleneck for Generalization in Sequential
  Environments
Gated Information Bottleneck for Generalization in Sequential Environments
Francesco Alesiani
Shujian Yu
Xi Yu
OODAAML
58
13
0
12 Oct 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural
  Networks
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang
Qitian Wu
Junchi Yan
David Wipf
Philip S. Yu
SSL
97
223
0
23 Jun 2021
Invariance Principle Meets Information Bottleneck for
  Out-of-Distribution Generalization
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja
Ethan Caballero
Dinghuai Zhang
Jean-Christophe Gagnon-Audet
Yoshua Bengio
Ioannis Mitliagkas
Irina Rish
OOD
73
271
0
11 Jun 2021
Drop-Bottleneck: Learning Discrete Compressed Representation for
  Noise-Robust Exploration
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim
Minjung Kim
Dongyeon Woo
Gunhee Kim
69
17
0
23 Mar 2021
Deep Deterministic Information Bottleneck with Matrix-based Entropy
  Functional
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional
Xi Yu
Shujian Yu
José C. Príncipe
AAML
74
27
0
31 Jan 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by
  Quantifying Previously Used and Unused Information
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information
Zhengqi He
Taro Toyoizumi
41
1
0
08 Jan 2021
Maximum-Entropy Adversarial Data Augmentation for Improved
  Generalization and Robustness
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao
Ting Liu
Xi Peng
Dimitris N. Metaxas
OODAAML
131
171
0
15 Oct 2020
The Dual Information Bottleneck
The Dual Information Bottleneck
Zoe Piran
Ravid Shwartz-Ziv
Naftali Tishby
66
15
0
08 Jun 2020
The Information Bottleneck Problem and Its Applications in Machine
  Learning
The Information Bottleneck Problem and Its Applications in Machine Learning
Ziv Goldfeld
Yury Polyanskiy
79
139
0
30 Apr 2020
Unpacking Information Bottlenecks: Unifying Information-Theoretic
  Objectives in Deep Learning
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning
Andreas Kirsch
Clare Lyle
Y. Gal
102
16
0
27 Mar 2020
On the Information Bottleneck Problems: Models, Connections,
  Applications and Information Theoretic Views
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views
Milad Sefidgaran
Iñaki Estella Aguerri
S. Shamai
58
90
0
31 Jan 2020
Margin Maximization as Lossless Maximal Compression
Margin Maximization as Lossless Maximal Compression
N. Nikolaou
Henry W. J. Reeve
Gavin Brown
45
4
0
28 Jan 2020
Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical
  Abstractions for Agents with Computational Limitations
Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations
Daniel T. Larsson
Dipankar Maity
Panagiotis Tsiotras
53
7
0
30 Sep 2019
Do Compressed Representations Generalize Better?
Do Compressed Representations Generalize Better?
Hassan Hafez-Kolahi
S. Kasaei
Mahdiyeh Soleymani-Baghshah
58
1
0
20 Sep 2019
Learnability for the Information Bottleneck
Learnability for the Information Bottleneck
Tailin Wu
Ian S. Fischer
Isaac L. Chuang
Max Tegmark
90
42
0
17 Jul 2019
Minimal Achievable Sufficient Statistic Learning
Minimal Achievable Sufficient Statistic Learning
Milan Cvitkovic
Günther Koliander
84
12
0
19 May 2019
Caveats for information bottleneck in deterministic scenarios
Caveats for information bottleneck in deterministic scenarios
Artemy Kolchinsky
Brendan D. Tracey
S. Kuyk
104
83
0
23 Aug 2018
Variational Information Bottleneck on Vector Quantized Autoencoders
Variational Information Bottleneck on Vector Quantized Autoencoders
Hanwei Wu
M. Flierl
DRL
40
5
0
02 Aug 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image
  Retrieval
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
Hanwei Wu
M. Flierl
SSLCMLDRL
155
19
0
12 Jul 2018
A high-bias, low-variance introduction to Machine Learning for
  physicists
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
133
884
0
23 Mar 2018
Learning Representations for Neural Network-Based Classification Using
  the Information Bottleneck Principle
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
Rana Ali Amjad
Bernhard C. Geiger
135
198
0
27 Feb 2018
Layer-wise Learning of Stochastic Neural Networks with Information
  Bottleneck
Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck
Thanh T. Nguyen
Jaesik Choi
68
13
0
04 Dec 2017
Efficient mixture model for clustering of sparse high dimensional binary
  data
Efficient mixture model for clustering of sparse high dimensional binary data
Marek Śmieja
Krzysztof Hajto
Jacek Tabor
56
15
0
11 Jul 2017
Nonlinear Information Bottleneck
Nonlinear Information Bottleneck
Artemy Kolchinsky
Brendan D. Tracey
David Wolpert
91
157
0
06 May 2017
Semi-supervised cross-entropy clustering with information bottleneck
  constraint
Semi-supervised cross-entropy clustering with information bottleneck constraint
Marek Śmieja
Bernhard C. Geiger
50
20
0
03 May 2017
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