Dr Bang Vu Cong

Research Interests:

  • Convex optimization
  • Stochastic optimization
  • Machine learning
  • Image processing


Bang received his Masters degree in Applied Mathematics from Vietnam National University (VNU) Hanoi in 2006. He then obtained his PhD from Université de Pierre et Marie Curie in Paris, France in 2013. His research was focused on optimization, mainly on monotone inclusions in duality. From 2013 to2015, he was a postdoctoral researcher at the Laboratory for Computational and Statistical learning, Istituto Italiano di Tecnologia (Iit) in Genova, Italy.
He was postdoctoral researcher with the Laboratory for Information and Inference Systems at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. His research interests are in the areas of convex optimization, stochastic optimization,  machine learning, and image processing from 2015-2019.

Publications with LIONS  (most recent)

A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators

V. Cevher; C. B. Vu 

Set-valued and Variational analysis. 2021. Vol. 29, p. 163–174. DOI : 10.1007/s11228-020-00542-4.

Inertial Three-Operator Splitting Method and Applications

V. Cevher; C. B. Vu; A. Yurtsever 

SIAM Conference on Optimization – OP17, Vancouver, British Columbia, Canada, May 22-25, 2017.

On the linear convergence of the stochastic gradient method with constant step-size

V. Cevher; C. B. Vu 

Optimization Letters. 2018-09-25. Vol. 12, p. 1-11. DOI : 10.1007/s11590-018-1331-1.

Stochastic Forward-Douglas-Rachford Splitting for Monotone Inclusions

V. Cevher; C. B. Vu; A. Yurtsever 

Stochastic Forward Douglas-Rachford Splitting Method for Monotone Inclusions; Springer International Publishing, 2018.

Stochastic Three-Composite Convex Minimization

A. Yurtsever; C. B. Vu; V. Cevher 

2016. 30th Conference on Neural Information Processing Systems (NIPS2016), Barcelona, Spain, December 5-10, 2016. p. 4329-4337.