Mithun Chakraborty

PhD Candidate,
Dept. of Computer Science and Engineering,
Washington University in St. Louis

Office: Jolley 515
Mailing address:
Washington University in St. Louis,
Campus Box 1045, Jolley Hall Room 308,
1 Brookings Drive,
St. Louis, MO 63130.
Email address: mithunchakraborty AT wustl DOT edu

I am a PhD candidate in the Department of Computer Science and Engineering at Washington University in St. Louis, advised by Sanmay Das. My broad research interests are in the areas of algorithmic economics and machine learning with a special focus on the design and analysis of information aggregation mechanisms such as prediction markets. I spent the first three years of my doctoral program (Fall 2009 - Spring 2012) at Rensselaer Polytechnic Institute, and the next year (Fall 2012 - Spring 2013) at Virginia Tech. Prior to joining the PhD program, I earned a Bachelor's degree (Hons) in Electronics and Telecommunication Engineering from Jadavpur University, Kolkata, India. To find out more about me, please follow the links below.

Academics Research and Publications Teaching and Professional Service

Fall 2015: CSE 316A Social Network Analysis

Selected Papers

  1. Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits
    Mithun Chakraborty
    , Kai Yee Phoebe Chua, Sanmay Das, Brendan Juba
    Workshop on Learning, Inference and Control of Multi-Agent Systems (MALIC) held in conjunction with NIPS, 2016. (poster) (slides)

  2. Trading On A Rigged Game: Outcome Manipulation In Prediction Markets
    Mithun Chakraborty, Sanmay Das
    Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), pp. 158-164, 2016.

  3. Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents (supplementary material)
    Mithun Chakraborty, Sanmay Das
    Advances in Neural Information Processing Systems (NIPS), pp. 2350-2358, 2015.
    Selected for a spotlight presentation (16.6% of accepted papers). (poster) (slides)

  4. Price Evolution in a Continuous Double Auction Prediction Market With a Scoring-Rule Based Market Maker
    Mithun Chakraborty, Sanmay Das, Justin Peabody
    Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), pp. 835-841, 2015. (poster)

  5. Instructor Rating Markets (full version)
    Mithun Chakraborty, Sanmay Das, Allen Lavoie, Malik Magdon-Ismail, Yonatan Naamad
    Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI), pp. 159-165, 2013.

  6. A Bayesian Market Maker
    Aseem Brahma, Mithun Chakraborty, Sanmay Das, Allen Lavoie, Malik Magdon-Ismail
    Proceedings of the 13th ACM Conference on Electronic Commerce (EC), pp. 215-232, 2012.

  7. Near-Optimal Target Learning With Stochastic Binary Signals
    Mithun Chakraborty, Sanmay Das, Malik Magdon-Ismail
    Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 67-76, 2011. (poster)

A complete list is available here.

Awards, Distinctions, and Scholarships