activity
20162021
most citedWireless Power Transfer for Distributed Estimation in Sensor Networks

26 citations · 75 across the 8 of their papers we have counts for

collaborators

8 papers

math.OC2021★ 1 cited

A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation

Vien V. Mai, Jacob Lindbäck, Mikael Johansson

We develop a fast and reliable method for solving large-scale optimal transport (OT) problems at an unprecedented combination of speed and accuracy. Built on the celebrated Douglas…

math.OC2021★ 15 cited

Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness

Vien V. Mai, Mikael Johansson

Stochastic gradient algorithms are often unstable when applied to functions that do not have Lipschitz-continuous and/or bounded gradients. Gradient clipping is a simple and effect…

math.OC2020★ 4 cited

Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization

Vien V. Mai, Mikael Johansson

Stochastic gradient methods with momentum are widely used in applications and at the core of optimization subroutines in many popular machine learning libraries. However, their sam…

math.OC2019★ 17 cited

Anderson Acceleration of Proximal Gradient Methods

Vien V. Mai, Mikael Johansson

Anderson acceleration is a well-established and simple technique for speeding up fixed-point computations with countless applications. Previous studies of Anderson acceleration in…

math.OC2019★ 4 cited

Noisy Accelerated Power Method for Eigenproblems with Applications

Vien V. Mai, Mikael Johansson

This paper introduces an efficient algorithm for finding the dominant generalized eigenvectors of a pair of symmetric matrices. Combining tools from approximation theory and convex…

math.OC2019

Curvature-Exploiting Acceleration of Elastic Net Computations

Vien V. Mai, Mikael Johansson

This paper introduces an efficient second-order method for solving the elastic net problem. Its key innovation is a computationally efficient technique for injecting curvature info…

cs.IT2017★ 26 cited

Wireless Power Transfer for Distributed Estimation in Sensor Networks

Vien V. Mai, Won-Yong Shin, Koji Ishibashi

This paper studies power allocation for distributed estimation of an unknown scalar random source in sensor networks with a multiple-antenna fusion center (FC), where wireless sens…

cs.IT2016★ 8 cited

Opportunistic Network Decoupling With Virtual Full-Duplex Operation in Multi-Source Interfering Relay Networks

Won-Yong Shin, Vien V. Mai, Bang Chul Jung +1

We introduce a new achievability scheme, termed opportunistic network decoupling (OND), operating in virtual full-duplex mode. In the scheme, a novel relay scheduling strategy is u…