Ramki Gummadi

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I'm currently a research software engineer at Google Brain. I am interested in reinforcement learning, generative models and approximate inference.

Before joining Google, I was a senior researcher at Vicarious, an AI research startup from Nov 2016 to Feb 2018; and a data scientist & software engineer at Facebook in Ads delivery between 2014-2016. Prior to that, I was a postdoc at Stanford until spring 2014, working on multiarmed bandits and mechanism design in Prof. Ramesh Johari's group, where I also collaborated with Prof. Mohsen Bayati in the GSB. From Spring to Fall of 2014, I was a postdoc at the University of Alberta in the RLAI Lab, hosted by Prof. Dale Schuurmans. I received my Ph.D. from the department of ECE at the University of Illinois in Urbana-Champaign in December 2011 with a dissertation on rateless erasure codes for communication networks and MDP's for broadcast scheduling. At UIUC, I was part of the Decision and Control Lab in the CSL and was advised by Prof. R.S. Sreenivas. During my Ph.D., I also had the pleasure of collaborating with Prof. Amin Shokrollahi, Dr. Laurent Massoulie, Prof. Alexandre Proutiere and Dr. Peter Key.

Program Committee Service: AAAI (2018, 2017), NIPS workshop on Advances in Approximate Bayesian Inference (2015, 2016, 2017).
Journal Review Service: IEEE Transactions on Information Theory, IEEE Transactions on Automatic Control, IEEE Trans on Communications, IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, Operations Research.

Papers

A. Grover*, R. Gummadi*, M. Lazaro-Gredilla, D. Schuurmans, S. Ermon, ‘‘ Resampled Proposal Distributions for Stochastic Variational Inference and Learning’’. Appeared at the ICML 2017 workshop on Principled Approaches to Deep Learning, and the ICML 2017 workshop on Implicit Models. Conference version to appear at the International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.
* indicates joint primary authorship.

R. Gummadi, ‘‘ Resampled Belief Networks for Variational Inference ’’. Extended abstract appeared at the NIPS 2014 workshop on Advances in Variational Inference.
Presentation slides google doc.

H. Bastani, M. Bayati, M. Braverman, R. Gummadi, R. Johari, ‘‘ Analysis of Pay for Performance Medicare Contracts ’’, SSRN working paper, 2016.

R. Gummadi, R. Johari, S. Schmit, J. Yu, ‘‘ Mean Field Analysis of Multi Armed Bandit Games’’, under review with Mathematics of Operations Research, Oct 2016.
Presentation Slides in pptx.
Preliminary versions appeared in ACM Conference on Electronic Commerce (EC), June, 2012, Valencia, Spain and Allerton Annual Conference on Communications, Control and Computing, Monticello, IL, October 2012.

R. Gummadi, P. Key, A. Proutiere, ‘‘Optimal Bidding Strategies and Equilibria in Repeated Auctions with budget constraints’’, SSRN Working Paper, October 2013.
Presentation Slides in pptx.
Preliminary versions appeared in Allerton Annual Conference on Communications, Control and Computing, September 2011 and in Ad Auctions Workshop 2012, Valencia, Spain.

R. Gummadi, L. Massoulie, R. Sreenivas, ‘‘ The Role of Feedback in the choice between routing and coding for wireless unicast ’’, Physical Communication, Special Issue on Wireless Network Coding (Elsevier), Vol 6, pp. 88-99, 2013.
Presentation Slides in pdf.
A preliminary version appeared in Proceedings of IEEE International Symposium on Network Coding, June 2010.

R. Gummadi, R. Sreenivas, ‘‘ Erasure Codes with Efficient Repair’’, accepted to the IEEE Information theory workshop, 2011.
Presentation Slides in pptx.
Note: Paper was not actually presented at the conference due to visa issues.

R. Gummadi, R. Sreenivas, N. Singh, ‘‘ On Tractable Instances of Modular Supervisory Control’’, IEEE Transactions on Automatic Control, Vol 56(7), pp. 1621-1635, August 2011.

R. Gummadi, A. Shokrollahi, R. Sreenivas, ‘‘Broadcasting with Side Information Using Fountain Codes’’, Proceedings of IEEE Information Theory Workshop, pp. 1-5, January 2010.
Presentation Slides in pdf.

R. Gummadi, ‘‘Optimal Control of a Broadcasting Server’’, Proceedings of IEEE Conference on Decision and Control (CDC), pp. 2634-2639, December, 2009.
Presentation Slides in pdf.

R. Gummadi, K. Jung, D. Shah, R. Sreenivas, ‘‘Computing the Capacity Region of a Wireless Network ’’, Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), pp. 1341-1349, April 2009.
Presentation Slides in pdf.

R. Gummadi, R. Sreenivas, ‘‘Relaying a Fountain Code across multiple Nodes’’, Proceedings of IEEE Information Theory Workshop, pp. 149-153, May, 2008.
Presentation Slides in pdf.
Also appeared as a poster at SIGCOMM, May 2008.

R. Gummadi, K. Jung, D. Shah, R. Sreenivas, ‘‘Feasible Rate Allocation in Wireless Networks’’, Proceedings of IEEE International Conference on Computer Communications (INFOCOM), pp. 13-18, April 2008.
Presentation Slides in pdf.

Link to Google scholar profile.