Understanding Generalization via Leave-One-Out Conditional Mutual
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Understanding Generalization via Leave-One-Out Conditional Mutual Information

29 June 2022

Gintare Karolina Dziugaite

Papers citing "Understanding Generalization via Leave-One-Out Conditional Mutual Information"

14 / 14 papers shown

Title
Generalization Bounds via Conditional $f$ -Information Ziqiao Wang Yongyi Mao FedML 34 1 0 30 Oct 2024
Which Algorithms Have Tight Generalization Bounds? Michael C. Gastpar Ido Nachum Jonathan Shafer T. Weinberger 18 0 0 02 Oct 2024
Slicing Mutual Information Generalization Bounds for Neural Networks Kimia Nadjahi Kristjan Greenewald Rickard Brüel-Gabrielsson Justin Solomon 35 1 0 06 Jun 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization Idan Attias Gintare Karolina Dziugaite Mahdi Haghifam Roi Livni Daniel M. Roy 17 6 0 14 Feb 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 46 1 0 08 Nov 2023
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds Ziqiao Wang Yongyi Mao 19 5 0 31 Oct 2023
Comparing Comparators in Generalization Bounds Fredrik Hellström Benjamin Guedj 17 4 0 16 Oct 2023
Fantastic Generalization Measures are Nowhere to be Found Michael C. Gastpar Ido Nachum Jonathan Shafer T. Weinberger 13 13 0 24 Sep 2023
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem Ruida Zhou C. Tian Tie Liu 31 2 0 01 May 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples Ziqiao Wang Yongyi Mao 19 17 0 05 Feb 2023
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization Mahdi Haghifam Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund Daniel M. Roy Gintare Karolina Dziugaite 17 17 0 27 Dec 2022
The One-Inclusion Graph Algorithm is not Always Optimal Ishaq Aden-Ali Yeshwanth Cherapanamjeri Abhishek Shetty Nikita Zhivotovskiy 16 8 0 19 Dec 2022
Information-theoretic generalization bounds for black-box learning algorithms Hrayr Harutyunyan Maxim Raginsky Greg Ver Steeg Aram Galstyan 32 41 0 04 Oct 2021
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 105 146 0 06 Nov 2019