Hi, I am Kartik, a Ph.D candidate in the Electrical Engineering department at Stanford University, where I am affiliated with the Information Systems Laboratory. I am lucky to have Prof. Tsachy Weissman as my advisor.

I also had the fortune of interacting with the late Prof. Thomas Cover, who was also my co-advisor. Here is a link to the memorial website, where many former colleagues and students have shared memories of their interactions with Tom.

Before joining Stanford, I studied Electrical Engineering at the Indian Institute of Technology, Kanpur.

Here is a link to my Resume

I was recently named a 2015 Paul Baran Young Scholar by the Marconi Society: Official press release. Stanford EE news.

kvenkat AT stanford DOT edu

Statistical inference, information theory, machine learning

Applications in wireless systems, genomics, neuroscience, quantitative finance

Relations between Information and Estimation: A Unified View

Kartik Venkat, December 2015.

Beyond Maximum Likelihood: from Theory to Practice

Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman, September 2014.

CaMoDi: A new method for Cancer Module Discovery

A. Manolakos, I. Ochoa, K. Venkat, A. J. Goldsmith and O. Gevaert.

**Highly accessed**article in BMC Genomics, 2014.

This article also appeared in the*Proceedings of the 25th International Conference on Genome Informatics*(GIW/ISCB-Asia): Genomics

Minimax Estimation of Functionals of Discrete Distributions

Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman, to appear in the*IEEE Transactions on Information Theory*, 2015.

Non-Asymptotic Theory for the Plug-in Rule in Functional Estimation

Jiantao Jiao, Kartik Venkat, Tsachy Weissman,*under review in the IEEE Transactions on Information Theory*, 2015.

Relations between Information and Estimation in Scalar Lévy Channels

Jiantao Jiao, Kartik Venkat, Tsachy Weissman,*under review in the IEEE Transactions on Information Theory*, 2015.

Shorter version appeared in the*Proceedings of the IEEE International Symposium on Information Theory 2014*.

Justification of Logarithmic Loss via the Benefit of Side Information

Jiantao Jiao, Thomas Courtade, Kartik Venkat, Tsachy Weissman, to appear in the*IEEE Transactions on Information Theory*, 2015.

Shorter version appeared in the*Proceedings of the IEEE International Symposium on Information Theory 2014*.

Information Measures: The Curious Case of the Binary Alphabet

Jiantao Jiao, Thomas Courtade, Albert No, Kartik Venkat, Tsachy Weissman,

*IEEE Transactions on Information Theory, vol.60, no.12, pp. 7616-7626, Dec. 2014*.

Shorter version appeared in the*Proceedings of the IEEE International Symposium on Information Theory 2014*.

Pointwise Relations between Information and Estimation in the Poisson Channel

Jiantao Jiao, Kartik Venkat, Tsachy Weissman

Appeared in the*Proceedings of the IEEE International Symposium on Information Theory, Istanbul, 2013*.

Information, Estimation, and Lookahead in the Gaussian Channel

Kartik Venkat, Tsachy Weissman, Yair Carmon, Shlomo Shamai,*submitted*to IEEE Transactions on Signal Processing.The Role of Lookahead in Estimation under Gaussian Noise

Appeared in the*Proceedings of the IEEE International Symposium on Information Theory, Istanbul, 2013*.On Information, Estimation and Lookahead

Appeared in*Proceedings of the 50th Annual Allerton Conference on Communications, Control and Computing, Monticello, Illinois, 2012*.

Pointwise Relations between Information and Estimation in Gaussian Noise

Kartik Venkat, Tsachy Weissman,*IEEE Transactions on Information Theory, Vol. 58, No. 10, pp. 6264-6281, October 2012*.

A shorter version appeared in the*Proceedings of the IEEE International Symposium on Information Theory 2012*

Received the**ISIT Student Paper Award**: announcements at IT Society website, CSoI News, EE Stanford.

Joint Source-Channel Coding of one Random Variable over the Poisson Channel

Albert No, Kartik Venkat, Tsachy Weissman

Appeared in the*Proceedings of the IEEE International Symposium on Information Theory 2012*.

Reference Based Genome Compression

B. G. Chern, I. Ochoa, A. Manolakos, A. No., K. Venkat, T. Weissman

*Appeared in the IEEE Information Theory Workshop, 2012*.

Stabilising Stochastic Linear Plants via Erroneous Channels

Girish N. Nair, Kartik Venkat

Proceedings of the*19th International Symposium on Mathematical Theory of Networks and Systems, Budapest, Hungary, July 2010*.

Relations between Information and Estimation in the Presence of Feedback

Himanshu Asnani, Kartik Venkat, Tsachy Weissman

*invited contribution to Information and Control in Networks, Cambridge University Press, 2013*.

Ph.D., Electrical Engineering, Stanford University, 2015

M.S., Electrical Engineering, Stanford University, 2012

B.Tech., Electrical Engineering, Indian Institute of Technology, Kanpur, 2010

Information Theory (3 courses), Theory of Probability (3 courses), Statistical Signal Processing (2 courses), Inference, Estimation and Information Processing, Machine Learning, Convex Optimization, Stochastic Systems, Stochastic Differential Equations, Mathematical Finance, Large Deviations Theory, Wireless Communications (2 courses)

On Achievability via Random Binning, Network Information Theory course project, Stanford, 2012.

On Linear Scaling via Interference Alignment at Finite SNR, Wireless Networks course project, Stanford, 2012.

Resource Allocation in Cooperative Communications, Bachelor's Thesis, IIT Kanpur, 2010.

Compressed Sensing in UWB Systems, Term Paper in a course on Wireless Systems, IIT Kanpur, 2010.

Analysis of fMRI Data, Cognitive Sciences course project, IIT Kanpur, 2009.

Application of Network Coding in TCP, course project, IIT Kanpur, 2009.