research
∙
02/10/2023
Achieving Linear Speedup in Non-IID Federated Bilevel Learning
Federated bilevel optimization has received increasing attention in vari...
share
research
∙
10/23/2022
Decentralized Stochastic Bilevel Optimization with Improved Per-Iteration Complexity
Bilevel optimization recently has received tremendous attention due to i...
research
∙
02/08/2022
Efficiently Escaping Saddle Points in Bilevel Optimization
Bilevel optimization is one of the fundamental problems in machine learn...
research
∙
09/29/2021
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
This paper studies the equitable and optimal transport (EOT) problem, wh...
research
∙
02/05/2021
Projection Robust Wasserstein Barycenter
Collecting and aggregating information from several probability measures...
research
∙
02/04/2021
Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms
We propose perturbed proximal algorithms that can provably escape strict...
research
∙
12/09/2020
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
The Wasserstein distance has become increasingly important in machine le...
research
∙
08/18/2020
