Publications

1. Finding Fair and Efficient Allocations When Valuations Don't Add Up. (arXiv)

Nawal Benabbou, Mithun Chakraborty, Ayumi Igarashi, Yair Zick. 

ACM Transactions on Economics and Computation (TEAC), Vol. 9 No. 4, Article No. 21, pp. 1–41, December 2021.

2. Picking Sequences and Monotonicity in Weighted Fair Division. (arXiv)

Mithun Chakraborty, Ulrike Schmidt-Kraepelin, Warut Suksompong.

Journal of Artificial Intelligence (AIJ), Vol. 301, Article 103578, pp. 1–21, December 2021.

3. Weighted Envy-freeness in Indivisible Item Allocation. (arXiv) 

Mithun Chakraborty, Ayumi Igarashi, Warut Suksompong, Yair Zick. 

ACM Transactions on Economics and Computation (TEAC), Vol. 9 No. 3, Article No. 18, pp. 1–39, September 2021.

4. The Price of Quota-based Diversity in Assignment Problems. (arXiv)

Nawal Benabbou, Mithun Chakraborty, Xuan-Vinh Ho, Jakub Sliwinski, Yair Zick. 

ACM Transactions on Economics and Computation (TEAC), Vol. 8 No. 3, Article No. 14, pp. 1–32, September 2020. 

5. Fairness and Diversity in Public Resource Allocation Problems.

Nawal Benabbou, Mithun Chakraborty, Yair Zick.

Bulletin of the IEEE Technical Committee on Data Engineering, Vol. 42 No. 3, Special Issue on Fairness, Diversity, and Transparency in Data Systems pp. 64–75, September 2019. Invited paper.

6. Investigation of the global dynamics of cellular automata using Boolean derivatives.

Pabitra Pal Choudhury, Sudhakar Sahoo, Mithun Chakraborty, Subir Bhandari, Amita Pal. 

Computers and Mathematics with Applications (Elsevier), Vol. 57 Issue 8, pp. 1337–1351, 2009.

7. A partly deterministic and partly stochastic scheme for the identification of fractional-order processes.

Deepyaman Maiti, Mithun Chakraborty, Ayan Acharya, Amit Konar.

International Journal of Advanced Intelligence Paradigms (Inderscience), Vol. 1 No. 3, pp. 332–357, 2009.

Peer-reviewed archival conference papers 

1. Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis. 

Christine Konicki, Mithun Chakraborty, Michael Wellman.

Proc. of 8th Conference on Web and Internet Economics (WINE), pp. 132–149, 2022 [30.2% acceptance rate].

2. Solving Structured Hierarchical Games Using Differential Backward Induction. (OpenReview)

Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik.

Proc. of Machine Learning Research (PMLR), Vol. 180: 38th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 1107–1117, 2022 [32.3% acceptance rate]. Selected for oral presentation [5% of submissions].

3. Weighted Fairness Notions for Indivisible Items Revisited. (arXiv)

Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong. 

Proc. of 36th AAAI Conference on Artificial Intelligence (AAAI), pp. 4949–4956, 2022 [15% acceptance rate].

4. Timing is Money: The Impact of Arrival Order in Beta-Bernoulli Prediction Markets.

Blake Martin, Mithun Chakraborty, Sindhu Kutty.

Proc. of 2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 41, pp. 1–9, 2021 [49% acceptance rate].

5. Picking Sequences and Monotonicity in Weighted Fair Division. 

Mithun Chakraborty, Ulrike Schmidt-Kraepelin, Warut Suksompong.

Proc. of 30th International Joint Conference on Artificial Intelligence (IJCAI), pp. 82–88, 2021 [13.9% acceptance rate].  

6. Finding Fair and Efficient Allocations when Valuations Don’t Add Up. (with appendices) 

Nawal Benabbou, Mithun Chakraborty, Ayumi Igarashi, Yair Zick. 

Proc. of 13th Symposium on Algorithmic Game Theory (SAGT), pp. 32–46, 2020.

7. Weighted Envy-Freeness in Indivisible Item Allocation. 

Mithun Chakraborty, Ayumi Igarashi, Warut Suksompong, Yair Zick. 

Proc. of 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp. 231–239, 2020 [23% acceptance rate]. 

8. Fairness Towards Groups of Agents in the Allocation of Indivisible Items. 

Nawal Benabbou, Mithun Chakraborty, Edith Elkind, Yair Zick. 

Proc. of 28th International Joint Conference on Artificial Intelligence (IJCAI), pp. 95–101, 2019 [17.9% acceptance rate].

9. Diversity Constraints in Public Housing Allocation.

Nawal Benabbou, Mithun Chakraborty, Xuan-Vinh Ho, Jakub Sliwinski, Yair Zick. 

Proc. of 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 973–981, 2018 [Oral presentation: 25.3% acceptance rate].

10. Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits. 

Mithun Chakraborty, Kai Yee Phoebe Chua, Sanmay Das, Brendan Juba.

Proc. of 26th International Joint Conference on Artificial Intelligence (IJCAI), pp. 164–170, 2017 [26.0% acceptance rate].

11. Trading On A Rigged Game: Outcome Manipulation In Prediction Markets.  

Mithun Chakraborty, Sanmay Das. 

Proc. of 25th International Joint Conference on Artificial Intelligence (IJCAI), pp. 158–164, 2016 [< 25% acceptance rate].

12. Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents. (appendix)

Mithun Chakraborty, Sanmay Das. 

Advances in Neural Information Processing Systems (NeurIPS), pp. 2350– 2358, 2015. Selected for spotlight presentation [16.6% of accepted papers; 3.6% of submissions].

13. Price Evolution in a Continuous Double Auction Prediction Market With a Scoring-Rule Based Market Maker.

Mithun Chakraborty, Sanmay Das, Justin Peabody. 

Proc. of 29th AAAI Conference on Artificial Intelligence (AAAI), pp. 835–841, 2015 [26.7% acceptance rate].

14. Instructor Rating Markets. 

Mithun Chakraborty, Sanmay Das, Allen Lavoie, Malik Magdon-Ismail, and Yonatan Naamad. 

Proc. of 27th AAAI Conference on Artificial Intelligence (AAAI), pp. 159–165, 2013 [29% acceptance rate].

15. A Bayesian Market Maker. 

Aseem Brahma, Mithun Chakraborty, Sanmay Das, Allen Lavoie, and Malik Magdon-Ismail. 

Proc. of 13th ACM Conference on Electronic Commerce (EC), pp. 215–232, 2012 [33.3% acceptance rate].

16. Near-Optimal Target Learning With Stochastic Binary Signals. 

Mithun Chakraborty, Sanmay Das, and Malik Magdon-Ismail. 

Proc. of 27th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 69–76, 2011 [33.7% acceptance rate].

Non-archival workshop and conference papers and presentations