Publications

Optimization for Machine Learning

• A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation
  Vien V. Mai, Jacob Lindbäck, Mikael Johansson
  International Conference on Learning Representations (ICLR), Online, 2022. [pdf] [code]

• A Fast Smoothing Procedure for Large-Scale Stochastic Programming
  Martin Biel, Vien V. Mai, Mikael Johansson
  IEEE Conference on Decision and Control (CDC), Online, 2021. [pdf]

• Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
  Vien V. Mai and Mikael Johansson
  International Conference on Machine Learning (ICML), Online, 2021. [pdf] Full oral presentation

• Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization
  Vien V. Mai and Mikael Johansson
  International Conference on Machine Learning (ICML), Online, 2020. [pdf]

• Anderson Acceleration of Proximal Gradient Methods
  Vien V. Mai and Mikael Johansson
  International Conference on Machine Learning (ICML), Online, 2020. [pdf] [code]

• Curvature-Exploiting Acceleration of Elastic Net Computations
  Vien V. Mai and Mikael Johansson
  International Conference on Machine Learning (ICML), Long Beach, California, United States, 2019. [pdf] [code]

• Nonlinear Acceleration of Constrained Optimization Algorithms
  Vien V. Mai and Mikael Johansson
  International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, United Kingdom, 2019. [IEEEXplore] [pdf]

• Noisy Accelerated Power Method for Eigenproblems With Applications
  Vien V. Mai and Mikael Johansson
  IEEE Trans. Signal Processing, 2019. [IEEEXplore] [pdf]

• Lock-free incremental coordinate descent
  Vien V. Mai and Mikael Johansson
  IEEE Conference on Decision and Control (CDC), Melbourne, Australia, 2017. [IEEEXplore] [pdf]

Wireless Networking

• Optimal Transmission in MIMO Channels With Multiuser Interference
  Vien V. Mai, Jin Sam Kwak, Youngmin Jeong, Hyundong Shin
  IEEE Transaction on Wireless Communications, 2018. [IEEEXplore] [pdf]

• Wireless Power Transfer for Distributed Estimation in Sensor Networks
  Vien V. Mai, Won-Yong Shin, Koji Ishibashi
  IEEE Journal of Selected Topics in Signal Processing, 2017. [IEEEXplore] [pdf]

• Opportunistic network decoupling with virtual full-duplex operation in multi-source interfering relay networks
  Won-Yong Shin, Vien V. Mai, Bang Chul Jung, Hyun Jong Yang
  IEEE Transactions on Mobile Computing, 2017. [IEEEXplore]

• Degrees of freedom of millimeter wave full-duplex systems with partial CSIT
  Vien V. Mai, Sang-Woon Jeon, Juyeop Kim, Sang Won Choi, Beomjoo Seo, and Won-Yong Shin
  IEEE Communications Letters, 2017. [IEEEXplore] [pdf]

• Error exponents for distributed detection
  Vien V. Mai, Youngmin Jeong, and Hyundong Shin
  IEEE Communications Letters, 2016. [IEEEXplore] [pdf]]