Adrien Vacher
5 papers · 2021–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
📈
Trend Setter
Venues
Top co-authors
Research topics
Mathematics & Optimization
(5)
Machine Learning
(4)
Optimization
(3)
Optimization & Theory · Machine Learning
(3)
Deep Learning
(2)
Probability
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Types
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
optimal transport
(3)
statistical estimation
(2)
langevin dynamics
(2)
domain adaptation
(1)
convex optimization
(1)
sample complexity
(1)
computational complexity
(1)
markov chain monte carlo
(1)
bregman divergence
(1)
curse of dimensionality
(1)
entropic regularization
(1)
parameter tuning
(1)
multimodal distribution
(1)
group action
(1)
implicit regularization
(1)
convergence bound
(1)
unbalanced optimal transport
(1)
unbalanced transport
(1)
sum of square
(1)
super-parametric rate
(1)
Papers
On the implicit regularization of Langevin dynamics with projected noise
COLT 2026
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
ICLR 2025
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
ICML 2023
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation
NeurIPS 2022
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation
COLT 2021