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Cristóbal Guzmán · SciRah

Researcher profile · Semantic Scholar

Cristóbal Guzmán

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Cristóbal Guzmán — researcher profile on SciRah

h-index: 12
Works: 19
Citations: 695

Most-cited papers

Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
Raef Bassily, V. Feldman, Cristóbal Guzmán, Kunal Talwar
2020Neural Information Processing Systems244 citations
Semantic Scholar
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization
Siqi Zhang, Jun-Chi Yang, Cristóbal Guzmán, N. Kiyavash +1 more
2021Conference on Uncertainty in Artificial Intelligence85 citations
Semantic Scholar
Non-Euclidean Differentially Private Stochastic Convex Optimization
Raef Bassily, Cristóbal Guzmán, Anupama Nandi
2021Annual Conference Computational Learning Theory77 citations
Semantic Scholar
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Raef Bassily, Cristóbal Guzmán, Michael Menart
2021Neural Information Processing Systems69 citations
Semantic Scholar
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
R. Arora, Raef Bassily, Tomás González, Cristóbal Guzmán +2 more
2022International Conference on Machine Learning40 citations Open access
Semantic Scholar
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions
Xu Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas
2022Neural Information Processing Systems32 citations Open access
Semantic Scholar
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness
S. Sachs, Hédi Hadiji, Tim van Erven, Cristóbal Guzmán
2022Neural Information Processing Systems31 citations Open access
Semantic Scholar
Differentially Private Generalized Linear Models Revisited
R. Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart +1 more
2022Neural Information Processing Systems25 citations Open access
Semantic Scholar
Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems
Digvijay Boob, Cristóbal Guzmán
2021Mathematical programming21 citations Open access
Semantic Scholar
Complementary composite minimization, small gradients in general norms, and applications
Jelena Diakonikolas, Cristóbal Guzmán
2021Mathematical programming18 citations Open access
Semantic Scholar
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap
Raef Bassily, Cristóbal Guzmán, Michael Menart
2023Annual Conference Computational Learning Theory13 citations Open access
Semantic Scholar
An Optimal Affine Invariant Smooth Minimization Algorithm
A. d'Aspremont, Cristóbal Guzmán, Martin Jaggi
201313 citations
Semantic Scholar
A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems
Xu Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas
2022arXiv.org12 citations Open access
Semantic Scholar
An Optimal Algorithm for Strict Circular Seriation
Santiago Armstrong, Cristóbal Guzmán, C. Sing-Long
2021SIAM Journal on Mathematics of Data Science8 citations Open access
Semantic Scholar
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates
Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily +1 more
2023International Conference on Algorithmic Learning Theory5 citations
Semantic Scholar
Optimal Algorithms for Stochastic Complementary Composite Minimization
A. d'Aspremont, Cristóbal Guzmán, Clément Lezane
2022SIAM Journal on Optimization3 citations Open access
Semantic Scholar
Best-Case Lower Bounds in Online Learning
Cristóbal Guzmán, Nishant A. Mehta, A. Mortazavi
2021Neural Information Processing Systems2 citations
Semantic Scholar
Calibeating for general proper losses: A Bregman divergence approach
Maximilian Fichtl, Cristóbal Guzmán, Nishant A. Mehta
2026arXiv.org1 citations
Semantic Scholar
Differentially Private Learning of Markov Chains: Near-Optimal Sample Complexity for Item and User Level Privacy
Devansh Gupta, Cristóbal Guzmán, Enayat Ullah
20260 citations
Semantic Scholar

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