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Jayadev Acharya

Associate Professor

School of Electrical and Computer Engineering

Jayadev Acharya
Jayadev Acharya
Graduate Field Affiliations
Computer Science
Data Science (minor)
Electrical and Computer Engineering
Operations Research and Information Engineering

Biography

I joined Cornell in August 2016 as an Assistant Professor in the school of Electrical and Computer Engineering, after spending two years as a postdoc at MIT. I was promoted to Associate Professor in June 2022. I obtained my Ph.D. from University of California, San Diego, and my B.Tech degree from Indian Institute of Technology, Kharagpur.

Research Interests

I am interested in information theory, algorithmic statistics, and machine learning. In particular, I am interested in understanding the trade-offs between resources (e.g., data, memory, time, etc) for problems in statistical learning. During my graduate work, I worked on compression and statistical estimation, with particular emphasis on problems over large domains.

  • Information Theory and Communications
  • Statistics and Machine Learning
  • Complex Systems, Network Science and Computation
  • Information, Networks, and Decision Systems

Select Publications

  • Acharya, Jayadev, I. Diakonikolas, J. Li, L. Schmidt. 2016. “Sample-optimal density estimation in nearly-linear time”.

  • Acharya, Jayadev, C. Daskalakis, G. Kamath. 2015. “Optimal testing of properties of distributions.”

  • Acharya, Jayadev, A. Orlitsky, A.T. Suresh, H. Tyagi. 2015. “The complexity of estimating Rényi entropy.”

  • Acharya, Jayadev, H. Das, O. Milenkovic, A. Orlitsky, S. Pan. 2015. “String reconstruction from substring compositions.” 29(3): 1340-1371.

  • Acharya, Jayadev, A. Jafarpour, A. Orlitsky, A.T. Suresh. 2014. “Near-optimal-sample estimators for spherical gaussian mixtures.”

Select Awards and Honors

  • Kenneth A. Goldman ’71 Excellence in Teaching Award, College of Engineering, Cornell University 2022
  • MIT Energy Initiative Fellowship, Massachusetts Institute of Technology 2014
  • Shannon Graduate Fellowship, University of California San Diego 2012
  • Jack Keil Wolf Student Paper Award, International Symposium on Information Theory 2010

Education

  • B.Tech., Electronics and Communication Engineering, Indian Institutes of Technology Kharagpur 2007
  • M.S., Electrical and Computer Engineering, University of California San Diego 2009
  • Ph.D., Electrical and Computer Engineering, University of California San Diego 2014