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1604.00268
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The deterministic information bottleneck
1 April 2016
D. Strouse
D. Schwab
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Papers citing
"The deterministic information bottleneck"
35 / 35 papers shown
Title
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
Jorge F. Silva
Victor Faraggi
Camilo Ramírez
Álvaro F. Egaña
Eduardo Pavez
64
1
0
30 May 2024
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
Daniel T. Larsson
Dipankar Maity
Panagiotis Tsiotras
30
2
0
08 Aug 2022
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
MLT
AI4CE
76
4
0
19 Jul 2022
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
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
Yuxin Dong
Tieliang Gong
Shujian Yu
Chen Li
73
8
0
16 May 2022
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
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
Francesco Alesiani
Shujian Yu
Xi Yu
OOD
AAML
58
13
0
12 Oct 2021
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
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
Jaekyeom Kim
Minjung Kim
Dongyeon Woo
Gunhee Kim
69
17
0
23 Mar 2021
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
Zhengqi He
Taro Toyoizumi
41
1
0
08 Jan 2021
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao
Ting Liu
Xi Peng
Dimitris N. Metaxas
OOD
AAML
131
171
0
15 Oct 2020
The Dual Information Bottleneck
Zoe Piran
Ravid Shwartz-Ziv
Naftali Tishby
63
15
0
08 Jun 2020
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
Andreas Kirsch
Clare Lyle
Y. Gal
102
16
0
27 Mar 2020
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
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
Daniel T. Larsson
Dipankar Maity
Panagiotis Tsiotras
53
7
0
30 Sep 2019
Do Compressed Representations Generalize Better?
Hassan Hafez-Kolahi
S. Kasaei
Mahdiyeh Soleymani-Baghshah
58
1
0
20 Sep 2019
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
Milan Cvitkovic
Günther Koliander
84
12
0
19 May 2019
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
Hanwei Wu
M. Flierl
DRL
40
5
0
02 Aug 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
Hanwei Wu
M. Flierl
SSL
CML
DRL
155
19
0
12 Jul 2018
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
Rana Ali Amjad
Bernhard C. Geiger
135
198
0
27 Feb 2018
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
Marek Śmieja
Krzysztof Hajto
Jacek Tabor
53
15
0
11 Jul 2017
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
Marek Śmieja
Bernhard C. Geiger
50
20
0
03 May 2017
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