Följ
Cristobal Guzman
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Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
R Bassily, V Feldman, C Guzmán, K Talwar
NeurIPS, 2020
2182020
Statistical query algorithms for mean vector estimation and stochastic convex optimization
V Feldman, C Guzmán, S Vempala
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017
121*2017
On lower complexity bounds for large-scale smooth convex optimization
C Guzmán, A Nemirovski
Journal of Complexity 31 (1), 1-14, 2015
1142015
The complexity of nonconvex-strongly-concave minimax optimization
S Zhang, J Yang, C Guzmán, N Kiyavash, N He
UAI 2021, 2021
842021
Non-euclidean differentially private stochastic convex optimization
R Bassily, C Guzmán, A Nandi
COLT 2021 134, 474-499, 2021
792021
Lower Bounds for Parallel and Randomized Convex Optimization
J Diakonikolas, C Guzmán
Journal of Machine Learning Research 21 (5), 1-31, 2020
602020
Differentially private stochastic optimization: New results in convex and non-convex settings
R Bassily, C Guzmán, M Menart
Advances in Neural Information Processing Systems 34, 9317-9329, 2021
592021
Lower Bounds on the Oracle Complexity of Nonsmooth Convex Optimization via Information Theory
G Braun, C Guzmán, S Pokutta
IEEE Transactions on Information Theory (DOI:10.1109/TIT.2017.2701343), 2017
422017
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
312023
Optimal Affine-Invariant Smooth Minimization Algorithms
A d'Aspremont, C Guzmán, M Jaggi
SIAM Journal on Optimization 28 (3), 2384-2405, 2018
30*2018
New upper bounds for the density of translative packings of three-dimensional convex bodies with tetrahedral symmetry
M Dostert, C Guzmán, F Vallentin
Discrete & Computational Geometry (DOI: 10.1007/s00454-017-9882-y), 2017
272017
Differentially private generalized linear models revisited
R Arora, R Bassily, C Guzmán, M Menart, E Ullah
Advances in Neural Information Processing Systems 35, 22505-22517, 2022
252022
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions
X Cai, C Song, CA Guzmán, J Diakonikolas
Advances in Neural Information Processing Systems, 2022
24*2022
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness
S Sachs, H Hadiji, T van Erven, C Guzmán
Advances in Neural Information Processing Systems (NeurIPS), 2022
232022
Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems
D Boob, C Guzmán
Mathematical Programming 204 (1), 255-297, 2024
222024
Network pricing: How to induce optimal flows under strategic link operators
J Correa, C Guzmán, T Lianeas, E Nikolova, M Schröder
Operations research 70 (1), 472-489, 2022
18*2022
Network congestion control with Markovian multipath routing
R Cominetti, C Guzmán
Mathematical Programming 147 (1-2), 231-251, 2014
182014
Complementary composite minimization, small gradients in general norms, and applications
J Diakonikolas, C Guzmán
Mathematical Programming, 2024
17*2024
A sequential Stackelberg game for dynamic inspection problems
C Guzman, J Riffo, C Telha, M Van Vyve
European Journal of Operational Research 302 (2), 727-739, 2022
152022
An optimal algorithm for strict circular seriation
S Armstrong, C Guzmán, CA Sing-Long
SIAM Journal on Mathematics of Data Science (SIMODS) https://doi.org/10.1137 …, 2021
112021
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Artiklar 1–20