Information Theoretic Lower Bounds for Information Theoretic Upper Bounds

9 February 2023

Papers citing "Information Theoretic Lower Bounds for Information Theoretic Upper Bounds"

13 / 13 papers shown

Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Romain Chor Abdellatif Zaidi Piotr Krasnowski 49 0 0 25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Romain Chor Milad Sefidgaran Piotr Krasnowski 91 1 0 21 Feb 2025
Generalization Bounds via Conditional $f$ -Information Ziqiao Wang Yongyi Mao FedML 50 1 0 30 Oct 2024
Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable Diffusion Adi Haviv Shahar Sarfaty Uri Y. Hacohen N. Elkin-Koren Roi Livni Amit H. Bermano 37 2 0 15 Aug 2024
Data Reconstruction: When You See It and When You Don't Edith Cohen Haim Kaplan Yishay Mansour Shay Moran Kobbi Nissim Uri Stemmer Eliad Tsfadia AAML 42 2 0 24 May 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization Roi Livni MLT 39 1 0 07 Apr 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization Idan Attias Gintare Karolina Dziugaite Mahdi Haghifam Roi Livni Daniel M. Roy 30 6 0 14 Feb 2024
Time-Independent Information-Theoretic Generalization Bounds for SGLD Futoshi Futami Masahiro Fujisawa 44 5 0 02 Nov 2023
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds Ziqiao Wang Yongyi Mao 37 5 0 31 Oct 2023
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias 33 5 0 03 May 2023
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,824 0 14 Dec 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 115 147 0 06 Nov 2019
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 72 148 0 01 May 2018