Cristóbal Guzmán
About me
I am an Assistant Professor in the Institute for Mathematical and Computational Engineering of the Catholic University of Chile. My research interests are Convex Optimization, Machine Learning Theory and Differential Privacy.
I obtained an Engineering degree (Applied Math M.Sc. equivalent) from the Mathematical Engineering Department of Universidad de Chile, with Roberto Cominetti as advisor.
I obtained a Ph.D. in Algorithms, Combinatorics and Optimization at Georgia Tech. My advisors were Arkadi Nemirovski and Sebastian Pokutta.
After graduating, I was a postdoc in the Networks & Optimization Group at CWI-Amsterdam.
e-mail: hyperlink
My research is currently funded by:
ANID (through the FONDECYT Regular grant)
INRIA (through the INRIA Associate Teams grant)
Students
Ph.D.
[2021-] Clément Lezane (Appl. Math, UTwente)
Master
[2021-] Tomás González (Eng, PUC). Currently interning at Google Research Montreal (Canada)
[2021-22] Giorgio Micali (Appl. Math, UTwente). Currently Ph.D. in Statistics at U Twente (Netherlands)
[2019-22] Juan Pablo Flores (Math, PUC)
[2019-21] Patricio Ulloa (Eng, PUC)
[2019-20] Santiago Armstrong. Joint with Carlos Sing-Long (Eng, PUC)
[2018-20] Javiera Riffo. Joint with Jorge Vera (Eng, PUC). Currently M.Sc. in Statistics at TU Dortmund (Germany)
Visiting Students
Juan Pablo Contreras: May-July 2022 (UAI, Chile)
Nicolas Casabianca: April-August 2018 (ENS-Cachan, France)
News
Papers accepted in 2022:
Differentially Private Generalized Linear Models Revisited (with R. Arora, R. Bassily, M. Menart & E. Ullah). NeurIPS 2022
A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems (with X. Cai, C. Song & J. Diakonikolas). NeurIPS 2022
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness (with S. Sachs, H. Hadiji & T. van Erven). NeurIPS 2022Recent/upcoming events:
05-10-'22: Talk in Learning and Optimization in Luminy (LOL) workshop (CIRM, Marseille)
23-09-'22: Talk at the Mathematics Colloquium (PUC-Chile)
08-09-'22: Joint talk (with J. Dunstan) at the IDIA Seminar (U. Chile)
08-08-'22: Plenary talk at ENIM 2022 (Santiago, Chile). The slides of my talk are here!
07-'22: (Cancelled) Talk in ICCOPT 2022 (Lehigh U, PA)
05-'22: Talk at the Journées Scientifiques INRIA Chile, Chile
04-'22: Talk at the Machine Learning Seminar, École Polytechnique, Paris, France
03-'22: Talk at the Data Privacy: Foundations and Applications Reunion (Simons Institute, Berkeley)
12-'21: Plenary talk at the Opt+ML workshop (NeurIPS 2021)My work with Digvijay Boob, Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems, was selected as finalist in the INFORMS Junior Faculty Interest Group paper competition
Here are the videos from the XVI Discrete Mathematics Summer School, with 4 lecture courses by Anupam Gupta (Approximation Algorithms for Stochastic Combinatorial Optimization), Katrina Ligett (Introduction to Differential Privacy) and Rob Morris (The Method of Hypergraph Containers)
Estudiantes interesados en investigar en Optimización y Aprendizaje, por favor leer esto