Publications:

• A. Biswas, J. Payan, R. Sengupta, and V. Viswanathan. The Theory of Fair Allocation Under Structured Set Constraints. Ethics in Artificial Intelligence: Bias, Fairness and Beyond, pages 115–129. Springer, Singapore, 2023. [Book Chapter]

• A. Biswas, Y. Ke, S. Khuller, and Q.Liu. Fair Allocation of Conflicting Courses under Additive Utilities. To appear in Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024). 

• A. Biswas, J. Tucker, and S. Bauhoff. Performance of predictive algorithms in estimating the risk of being a zero-dose child in India, Mali and Nigeria. British Medical Journal BMJ Global Health 2023; Vol8:e012836. [Paper]

• A. Biswas, Y. Ke, S. Khuller, and Q.Liu. An Algorithmic Approach to Address Course Enrollment Challenges. In 4th Symposium on Foundations of Responsible Computing (FORC 2023). Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 2023. [Paper]

• A. Biswas, J.A.Killian, P. Rodriguez-Diaz, S.Ghosh, M. Tambe. Fairness for Workers Who Pull the Arms: An Index-Based Policy for Allocation of Restless Bandit Tasks. In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems, pp. 1321-1328. (AAMAS 2023). [Paper]

• J.A. Killian, A. Biswas, L. Xu, S. Verma, V. Nair, A. Taneja, N. Madhiwala, A. Hedge, P. Rodriguez, S. Johnson-Yu, M. Tambe. Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, vol. 37, no. 12, pp. 14295-14303. (AAAI 2023). [Paper]

• A. Biswas*, G.K.Patro*, N.Ganguly, K.Gummadi, A.Chakraborty. Towards Fair Recommendation in Two-Sided Platforms. ACM Transactions on the Web, Volume 16, Issue 2 May 2022, Article No.: 8, pp 1-34 (TWEB 2022). [journal]

• J.A. Killian, L. Xu, A. Biswas, M. Tambe. Restless and Uncertain: Robust Policies for Restless Bandits via Deep Multi-Agent Reinforcement Learning. In Proceedings of  38th Conference on Uncertainty in Artificial Intelligence (UAI 2022). [Paper]

• L. Xu, A. Biswas, F. Fang, M. Tambe. Ranked Prioritization of Groups in Combinatorial Bandit Allocation. 31st International Joint Conference on Artificial Intelligence (IJCAI 2022). [Paper]

• A. Mate, A. Biswas, C. Siebenbrunner, S. Ghosh, M. Tambe. Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022). [Paper]

• S. Narang, A. Biswas, Y. Narahari. On Achieving Leximin Fairness and Stability in Many-to-One Matchings. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems as an extended abstract (AAMAS 2022). [Paper]

• H. Chen, S. Ghosh, G. Fan, N. Behari, A. Biswas, M. Williams, N. E. Oriol, and M. Tambe. Using Public Data to Predict Demand for Mobile Health Clinics. In The 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2022). The workshop version appeared at Machine Learning in Public Health Workshop at NeurIPS (MLPH@NeurIPS 2021) [PDF]

• J.A. Killian, L. Xu, A. Biswas, M. Tambe. Your bandit model is not perfect: Introducing robustness to restless bandits enabled by deep reinforcement learning. Workshop on Robustness and Misspecification in Probabilistic Modeling at NeurIPS (RobustBayes@NeurIPS 2021) [PDF]

• J.A. Killian, A. Biswas, S. Shah, M. Tambe. Q-Learning Lagrange Policies for Multi-Action Restless Bandits. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021). [Paper]

• A. Biswas,  G. Aggarwal, P. Varakantham, M. Tambe. Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare.  International Joint Conference on Artificial Intelligence (IJCAI 2021). [Paper]

• A. Biswas and S. Mukherjee. Ensuring Fairness under Prior Probability Shifts. AAAI/ACM Conference on AI, Ethics, and Society (AIES 2021). [Paper]

• A. Biswas,  G. Aggarwal, P. Varakantham, M. Tambe. Learning Index Policies for Restless Bandits with Application to Maternal Healthcare.  In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems as a short paper (AAMAS 2021) and accepted at AI for Social Good workshop, International Joint Conference on Artificial Intelligence (AI4SG @IJCAI 2021). [Paper] [Poster]

• S. Mukherjee, P. Deligiannis, A. Biswas,  A. Lal. Learning-Based Controlled Concurrency Testing. In Proceedings of the ACM on Programming Languages (PACMPL, OOPSLA 2020).  [Paper][Artifact] *Won Distinguished Artifact Award at OOPSLA'20.

• A. Biswas, S. Barman, A. Deshpande, A. Sharma. Inframarginality Audit of Group Fairness. Symposium on Foundations of Responsible Computing (FORC 2020).  [Talk]

• A. Biswas, M. Kołczyńska, S. Rantanen, P. Rozenshtein. The Role of In-Group Bias and Balanced Data: A Comparison of  Human and Machine Recidivism Risk Predictions. In Proceedings of the ACM SIGCAS Computing and Sustainable Societies (ACM COMPASS 2020). [Talk] [Paper]

• A. Biswas*, G.K.Patro*, N.Ganguly, K.Gummadi, A.Chakraborty. FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. The Web Conference (WWW 2020). [Paper]

• A. Biswas and S. Mukherjee. Fairness Through the Lens of Proportional Equality. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems as a short paper (AAMAS 2019), Montreal, Canada. [Paper] 

• A. Biswas and S. Barman. Matroid Constrained Fair Allocation Problem. In Proceedings of the AAAI Conference on Artificial Intelligence as a student paper (AAAI 2019), Honolulu, Hawaii, USA. [Paper]

• A. Biswas, M. Kołczyńska, S. Rantanen, P. Rozenshtein. Algorithms, fairness, and race: Comparing human recidivism risk assessment with the COMPAS algorithm. 2nd European Symposium on Societal Challenges in Computational Social Science: Discrimination and Bias (EuroCSS 2018), Cologne, Germany.

• A. Biswas and S. Barman. Fair Division under Cardinality Constraints. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden. [Paper]

• A. Biswas, R. Gopalakrishnan, T. Tulabandhula, A. Metrewar, K. Mukherjee, T. Raja. Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. In Proceedings of the 10th International Workshop on Agents in Traffic and Transportation (ATT 2018), Stockholm, Sweden. [Paper]

• S. Barman, A. Biswas, S. Krishnamurthy, Y. Narahari. Groupwise Maximin Fair Allocation of Indivisible Goods. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, Louisiana, USA. [Paper]

• A. Biswas, R. Gopalakrishnan, T. Tulabandhula, A. Metrewar, K. Mukherjee, T. Raja. Profit Optimization in Commercial Ridesharing. Short paper, International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Sao Paulo, Brazil. [Paper]

• A. Biswas, R. Gopalakrishnan, P. Dutta. Managing Overstaying Electric Vehicles in Park-and-Charge Facilities. International Joint Conference on Artificial Intelligence (IJCAI 2016), New York, USA. [Paper]

• R. Gopalakrishnan, A. Biswas, A. Lightwala, S. Vasudevan, P. Dutta, A. Tripathi. Demand Prediction and Placement Optimization for Electric Vehicle Charging Stations. International Joint Conference on Artificial Intelligence (IJCAI 2016), New York, USA. [Paper]

• A. Biswas, D. Chander, K. Dasgupta, K. Mukherjee, M. Singh, T. Mukherjee. PISCES: Participatory Incentive Strategies for Effective Community Engagement in Smart cities. Conference on Human Computation & Crowdsourcing (HCOMP 2015), San Diego, USA. [Paper]

• A. Biswas, S. Jain, D. Mandal, Y. Narahari. A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), Istanbul, Turkey. [Paper]

Patents: The United States Patent and Trademark Office (USPTO)

• [US 20170068922 A1] Methods and systems for managing skills of employees in an organization (filed on September 2015, published on March 2017).

• [US 20170154348 A1] Dynamic pricing systems and related methods (filed on November 2015, published on June 2017).

• [US 20170228840 A1] Method and system for identifying locations for placement of replenishment stations for vehicles  (filed on February 2016, published on August 2017).

• [US 20170372529 A1] Method and system for managing parking violations by vehicles in parking areas in real-time (filed on June 2016, published on December 2017).

• [US 20180012164 A1] Method of planning for deployment of facilities and apparatus associated therewith (filed on July 2016, published on January 2018). 

• [US 20180165731 A1] Method and system for real time ridesharing management (filed on September 2016, published on June 2018).