Researcher, CNRS
3 papers at NeurIPS 2025
We propose a Generalized Sliced Wasserstein method that provides an approximated transport plan and is differentiable.
We provide generalization error bounds for bilevel optimization problems where the inner objective is minimized over a reproducing kernel Hilbert space.