‪Tomas Gonzalez Lara‬ - ‪Google Scholar‬

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Citata da

	Tutte	Dal 2019
Citazioni	21	21
Indice H	1	1
i10-index	1	1

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Coautori

Cristobal GuzmanPontificia Universidad Católica de ChileEmail verificata su mat.uc.cl
Raef BassilyAssociate Professor, Computer Science & Engineering, The Ohio State UniversityEmail verificata su osu.edu
Enayat UllahResearch Scientist, MetaEmail verificata su jhu.edu
Michael MenartPhD Student, The Ohio State UniversityEmail verificata su osu.edu
Raman AroraDepartment of Computer Science, Johns Hopkins UniversityEmail verificata su cs.jhu.edu

Tomas Gonzalez Lara

Tomas Gonzalez Lara

Carnegie Mellon University

Email verificata su cs.cmu.edu

Optimization Differential Privacy


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Faster rates of convergence to stationary points in differentially private optimization R Arora, R Bassily, T González, CA Guzmán, M Menart, E Ullah International Conference on Machine Learning, 1060-1092, 2023	21	2023
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems T González, C Guzmán, C Paquette arXiv preprint arXiv:2403.02912, 2024		2024
Stochastic first-order methods for differentially private machine learning T González Lara Pontificia Universidad Catolica de Chile, 2023		2023

Il sistema al momento non può eseguire l'operazione. Riprova più tardi.

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