Phase Transitions for the Information Bottleneck in Representation
Learning

Phase Transitions for the Information Bottleneck in Representation Learning

International Conference on Learning Representations (ICLR), 2020

7 January 2020

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Papers citing "Phase Transitions for the Information Bottleneck in Representation Learning"

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Title
Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized Trajectories Faruk Alpay 52 0 0 14 May 2025
Consistent and Asymptotically Unbiased Estimation of Proper Calibration ErrorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Teodora Popordanoska Sebastian G. Gruber A. Tiulpin Florian Buettner Matthew B. Blaschko 197 6 0 14 Dec 2023
The Information Bottleneck's Ordinary Differential Equation: First-Order Root-Tracking for the IBEntropy (Entropy), 2023 Shlomi Agmon 192 0 0 16 Jun 2023
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimalityNeural Information Processing Systems (NeurIPS), 2022 Wave Ngampruetikorn David J. Schwab 92 10 0 08 Aug 2022
Learning to Accelerate Partial Differential Equations via Latent Global EvolutionNeural Information Processing Systems (NeurIPS), 2022 Tailin Wu Takashi Maruyama J. Leskovec AI4CE 126 36 0 15 Jun 2022
Pareto-optimal clustering with the primal deterministic information bottleneck Andrew K. Tan Max Tegmark I. Chuang 58 3 0 05 Apr 2022
Leveraging Information Bottleneck for Scientific Document Summarization Jiaxin Ju Ming Liu Huan Yee Koh Yuan Jin Lan Du Shirui Pan 193 16 0 04 Oct 2021
Perturbation Theory for the Information BottleneckNeural Information Processing Systems (NeurIPS), 2021 Wave Ngampruetikorn D. Schwab 199 13 0 28 May 2021
A Provably Convergent Information Bottleneck Solution via ADMMInternational Symposium on Information Theory (ISIT), 2021 Tengfei Huang Aly El Gamal 115 6 0 09 Feb 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial EstimationInternational Conference on Learning Representations (ICLR), 2021 Alexandre Ramé Matthieu Cord FedML 139 57 0 14 Jan 2021
Dataset Dynamics via Gradient Flows in Probability SpaceInternational Conference on Machine Learning (ICML), 2020 David Alvarez-Melis Nicolò Fusi 148 21 0 24 Oct 2020
The Dual Information Bottleneck Zoe Piran Ravid Shwartz-Ziv Naftali Tishby 117 16 0 08 Jun 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 212 2 0 11 Jan 2020
The Convex Information Bottleneck Lagrangian Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 178 31 0 25 Nov 2019