Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Published in AAAI'26, 2025
(arXiv)
Publications
You can also find my articles on my Google Scholar profile.
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Published in Transactions on Machine Learning Research, 2024
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging
Published in Radon Series on Computational and Applied Mathematics, 2024
Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals
Published in Research in Mathematical Sciences, 2024
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration
Published in Transactions on Machine Learning Research, 2024
Provably convergent plug-and-play quasi-newton methods
Published in SIAM Journal on Imaging Sciences, 2024
Data-driven mirror descent with input-convex neural networks
Published in SIAM Journal on Mathematics of Data Science, 2023
Robust Data-Driven Accelerated Mirror Descent
Published in IEEE International Conference on Acoustics, Speech and Signal Processing, 2023