Dr. Yurii Malitskyi

Research Interests:

  • Mathematical optimization
  • Algorithms
  • Nonlinear analysis
  • Machine Learning

Biography

Yura is currently an Assistant Professor in Computational Optimization at University of Vienna. He was a postdocoral researcher at LIONS. Yura obtained his Master and PhD degrees at Kyiv National University, Ukraine. In 2016 he was a postdoc researcher in the group of Thomas Pock at the Graz University of Technology, Austria. In 2017 Yura joined the group of Rusell Luke at the University of Goettingen, Germany.

 

Publications (most recent)

 

A first-order primal-dual method with adaptivity to local smoothness

M-L. Vladarean; Y. Malitsky; V. Cevher 

2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.

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Forward-reflected-backward method with variance reduction

A. Alacaoglu; Y. Malitsky; V. Cevher 

Computational Optimization and Applications. 2021-08-19. Vol. 80, p. 321–346. DOI : 10.1007/s10589-021-00305-3.

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A new regret analysis for Adam-type algorithms

A. Alacaoglu; Y. Malitsky; P. Mertikopoulos; V. Cevher 

2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 13-18, 2020.

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Adaptive Gradient Descent without Descent

Y. Malitsky; K. Mishchenko 

2020. 37th International Conference on Machine Learning (ICML 2020), Virtual, July 12-18, 2020.

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