Hemant Tyagi

 

INRIA Lille - Nord Europe,
40, Avenue Halley
59650, Villeneuve d'Ascq, France

E-mail: hemant (dot) tyagi (at) inria (dot) fr

 

Research Interests: Approximation theory, Online optimization, Learning theory, Compressed sensing, Low dimensional models for high dimensional data

Bio: Since December 2018, I am a Researcher (CRCN) at Inria Lille - Nord Europe in the MODAL team. From 2016-18, I was a Research Fellow at the Alan Turing Institute (ATI), and also affiliated to the School of Mathematics, University of Edinburgh. I completed my PhD at the Institute of Theoretical Computer Science, ETH Zurich in 2016. Earlier, I obtained a MSc degree in Communication Systems from EPFL, and a Bachelors degree in Electrical and Electronics Engineering from NIT Surathkal, Karnataka, India.

Workshop on Approximating High Dimensional Functions on 18, 19 December 2017 at the Alan Turing Institute. The talks are now available here.

Curriculum Vitae

Preprints

Conference Publications

Journal Publications

Technical Reports

Doctoral thesis

On low dimensional models for functions in high dimensions, ETH Zürich, 2016

Master Thesis

Local sampling analysis for quadratic embeddings of Riemannian manifolds, Master Thesis in Communication Systems, EPFL, July 2011.

Talks

  • Provably robust estimation of modulo 1 samples of a smooth function. July, 2018, ISMP, Bordeaux

30 June, 2017.