Adrien Vacher

According to our database, Adrien Vacher authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Polynomial time sampling from log-smooth distributions in fixed dimension under semi-log-concavity of the forward diffusion with application to strongly dissipative distributions.

Adrien Vacher, Omar Chehab, Anna Korba

CoRR, January, 2025

2024

Optimal Estimation of Smooth Transport Maps with Kernel SoS.

Adrien Vacher, Boris Muzellec, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi

SIAM J. Math. Data Sci., 2024

Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics.

Omar Chehab, Anna Korba, Austin Stromme, Adrien Vacher

CoRR, 2024

2023

Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.

Adrien Vacher, François-Xavier Vialard

Proceedings of the International Conference on Machine Learning, 2023

2022

Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation.

Adrien Vacher, François-Xavier Vialard

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Near-optimal estimation of smooth transport maps with kernel sums-of-squares.

Boris Muzellec, Adrien Vacher, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi

CoRR, 2021

A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation.

Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis R. Bach, François-Xavier Vialard

Proceedings of the Conference on Learning Theory, 2021