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Finite Littlestone Dimension Implies Finite Information Complexity


Jun 27, 2022
Aditya Pradeep, Ido Nachum, Michael Gastpar

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From Generalisation Error to Transportation-cost Inequalities and Back


Feb 08, 2022
Amedeo Roberto Esposito, Michael Gastpar

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* Submitted to ISIT 2022 

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A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs


Nov 03, 2021
Ido Nachum, Jan Hązła, Michael Gastpar, Anatoly Khina

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Private Retrieval, Computing and Learning: Recent Progress and Future Challenges


Jul 30, 2021
Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Jafar, Ravi Tandon, Chao Tian

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Entropy of the Conditional Expectation under Gaussian Noise


Jun 08, 2021
Arda Atalik, Alper Köse, Michael Gastpar

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Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles


Oct 14, 2020
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar

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* 8 pages, no figures 

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Common Information Components Analysis


Feb 28, 2020
Michael Gastpar, Erixhen Sula

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* 5 pages, 1 figure. Presented at the 2020 Information Theory and Applications (ITA) Workshop, San Diego, CA, USA, February 2-7, 2020 

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Robust Generalization via $α$-Mutual Information


Jan 14, 2020
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa

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* Accepted to IZS2020. arXiv admin note: substantial text overlap with arXiv:1912.01439 

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