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Q&A with Cristóbal Guzmán
Cristóbal Guzmán
Author Information
Cristóbal Guzmán (U of Twente)
More from the Same Authors
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2023 : Closing Remarks »
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2023 : Contributed Talks 1 »
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2023 Workshop: OPT 2023: Optimization for Machine Learning »
Cristóbal Guzmán · Courtney Paquette · Katya Scheinberg · Aaron Sidford · Sebastian Stich -
2023 : Opening Remarks »
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2022 : Contributed Talks 3 »
Cristóbal Guzmán · Fangshuo Liao · Vishwak Srinivasan · Zhiyuan Li -
2022 Workshop: OPT 2022: Optimization for Machine Learning »
Courtney Paquette · Sebastian Stich · Quanquan Gu · Cristóbal Guzmán · John Duchi -
2022 Poster: Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions »
Xufeng Cai · Chaobing Song · Cristóbal Guzmán · Jelena Diakonikolas -
2022 Poster: Differentially Private Generalized Linear Models Revisited »
Raman Arora · Raef Bassily · Cristóbal Guzmán · Michael Menart · Enayat Ullah -
2022 Poster: Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness »
Sarah Sachs · Hedi Hadiji · Tim van Erven · Cristóbal Guzmán -
2021 : Non-Euclidean Differentially Private Stochastic Convex Optimization, Cristóbal Guzmán »
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2021 Poster: Best-case lower bounds in online learning »
Cristóbal Guzmán · Nishant Mehta · Ali Mortazavi -
2021 Poster: Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings »
Raef Bassily · Cristóbal Guzmán · Michael Menart -
2020 Poster: Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses »
Raef Bassily · Vitaly Feldman · Cristóbal Guzmán · Kunal Talwar -
2020 Spotlight: Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses »
Raef Bassily · Vitaly Feldman · Cristóbal Guzmán · Kunal Talwar