Tomás González

According to our database, Tomás González authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Optimal Rates for Differentially Private Hypothesis Testing with E-values.

Ben Jacobsen, Tomás González, Gavin Brown, Kassem Fawaz, Aaditya Ramdas

CoRR, May, 2026

Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems.

Tomás González, Cristóbal Guzmán, Courtney Paquette

SIAM J. Optim., 2026

2025

Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity.

Diego Martinez-Taboada, Tomás González Lara, Aaditya Ramdas

CoRR, November, 2025

Private Evolution Converges.

Tomás González Lara, Giulia Fanti, Aaditya Ramdas

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Sequentially Auditing Differential Privacy.

Tomás González Lara, Mateo Dulce-Rubio, Aaditya Ramdas, Mónica Ribero

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract.

Tomás González, Cristóbal Guzmán, Courtney Paquette

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization.

Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah

Proceedings of the International Conference on Machine Learning, 2023