Swapnil Dhamal, Walid Ben-Ameur, Tijani Chahed. An Investment Framework for Continuous Time Opinion Dynamics on Networks. IEEE Transactions on Automatic Control, Accepted, 2025.

Shrikant Saxena, Shweta Jain.. Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback, Journal of Intelligent Information Systems, 62, 1325–1346 (2024). arXiv

Swapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman, Albert Sunny, Sudheer Poojary. A Game Theoretic Framework for Distributed Computing with Dynamic Set of Agents. Annals of Operations Research, Volume 336, pages 1871-1904, 2024.

Shivam Gupta, Kirandeep Kaur, Shweta Jain. EqBal-RS: Mitigating Popularity Bias in Recommender Systems. Journal of Intelligent Information Systems. Accepted September 2023.

Shivam Gupta, Ganesh Ghalme, Narayanan C Krishnan & Shweta Jain. Efficient Algorithms for Fair Clustering with a New Fairness Notion. Data Mining Knowledge Discovery (2023) arXiv

Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari. Ballooning Multi-armed Bandits. Artificial Intelligence, 296, 103485 arXiv

Satyanath Bhat, Shweta Jain, Sujit Gujar, Yadati Narahari. An optimal bidimensional multi-armed bandit auction for multi-unit procurement, Annals of Mathematics and Artificial Intelligence, Volume 85, Issue 1, pp 1-19, 2019. arXiv

Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, Y. Narahari. A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing, Artificial Intelligence, Volume 254, pp 44-63, 2018. arXiv

Shweta Jain, Satyanath Bhat, Ganesh Ghalme, Divya Padmanabhan, Y. Narahari. Mechanisms with Learning for Stochastic Multi-armed Bandit Problems, Indian Journal of Pure and Applied Mathematics, Volume 47, Issue 2, pp 229-272, June 2016. arXiv

Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Vaneet Aggarwal. Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework. Accepted in AAMAS 2025 (Core A*).

Avyukta Manjunatha Vummintala, Shivam Gupta, Shweta Jain, Sujit Gujar. FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare. Accepted in AAMAS 2025 (Core A*) arXiv

Vibulan J, Swapnil Dhamal, Shweta Jain, Ojassvi Kumar, Aman Kumar, Harpreet Singh. Fair Assignment on Multi-Stage Graphs. Accepted as extended abstract in AAMAS 2025 (Core A*).

Pranavkumar Mallela, Vinay Kumar, Shashi Shekhar Jha and Shweta Jain. A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams. Accepted in ECAI 2024 (Core A).

Shivam Gupta, Shweta Jain, Narayanan C Krishnan, Ganesh Ghalme and Nandyala Hemachandra. Capacitated Online Clustering Algorithm. Accepted in ECAI 2024 (Core A).

Shivam Gupta, Jain, S., Krishnan, N. C., Ghalme, G., and Hemachandra. N. Online algorithm for clustering with capacity constraints. In Joint International Conference on Data Science & Management of Data (CODS-COMAD) (2024). (Best Paper Award, Runner’s Up) .

Chakraborty, R., Halder, C., Roy, K., Shivam Gupta, and Jha, S. S. Msbnet. Handwritten bangla character recognition using lightweight multi-scale cnn architecture. In Joint International Conference on Data Science & Management of Data (CODS-COMAD) (2024).

Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Sujit Gujar, Swapnil Dhamal. Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits. Accepted in AAMAS 2024 (Core A*). arXiv

Archit Sood, Shweta Jain, Sujit Gujar. Fairness of Exposure in Online Restless Multi-armed Bandits. Accepted as extended abstract in AAMAS 2024 (Core A*). arXiv

Sambhav Solanki, Sujit Gujar, Shweta Jain Fairness and Privacy Guarantees in Federated Contextual Bandits. Accepted as extended abstract in AAMAS 2024 (Core A*).arXiv

Sumeet Gupta, Shweta Jain, Shashi Shekhar Jha, Tony Ming Hung Wang, Pao-Ann Hsiung Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions. European Conference on Artificial Intelligence (ECAI) 2023.

Jaglike Makkar, Bhumika, Shweta Jain, Shivam Gupta. MFC: A Multishot Approach to Federated Data Clustering. European Conference on Artificial Intelligence (ECAI) 2023.

Sanjay Chandelkar, Shweta Jain, and Sujit Gujar. A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC accepted in IJCAI 2023.

Sagalpreet Singh, Shweta Jain, Shashi Shekhar Jha. On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy accepted as full paper in AAMAS 2023.

Napendra Solanki, Shweta Jain, and Suman Banerjee. Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem accepted as full paper in AAMAS 2023.

Sanjay Chandelkar, Boroju Arthik, Sujit Gujar, and Shweta Jain. A Novel Demand Response Model and Method for Peak Reduction in Smart Grids — PowerTAC got accepted as extended abstract in AAMAS 2023.

Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain. Group Fair Clustering Revisited — Notions and Efficient Algorithm got accepted as extended abstract in AAMAS 2023.

Shantanu Das, Swapnil Dhamal, Ganesh Ghalme, Shweta Jain, Sujit Gujar. Individual Fairness in Feature-Based Pricing for Monopoly Markets. Accepted to the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022)

D Das, Shweta Jain, S. Gujar 2021. Budgeted Combinatorial Multiarmed Bandits. Accepted to Autonomous Agents and Multi-Agent systems, AAMAS 2021.

Akansha Singh, Meghana Reddy, Sujit Gujar, Shweta Jain. Designing Bounded min-Knapsack Bandits Algorithm for Sustainable Demand Response. Accepted as a full paper in the 18th Pacific Rim International Conference on Artificial Intelligence, 2021

Kumar Abhishek, Shweta Jain, Sujit Gujar. Designing Truthful Contextual Multi-armed Bandits based Sponsored Search Auctions. AAMAS 2020--Extended Abstract. arXiv

Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari. Ballooning Multi-armed Bandits. AAMAS 2020--Extended Abstract. arXiv

Shweta Jain, Sujit Gujar. "A Mulitarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids". Accepted in Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020).

Siddharth Barman, Ganesh Ghalme, Shweta Jain, Pooja Kulkarni, Shivika Narang. “Fair Division of Indivisible Goods amongst Strategic Agents”, Proceedings of the 2019 International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS’19. arXiv

Ganesh Ghalme, Sujit Gujar, Amleshwar Kumar, Shweta Jain, Y. Narahari. "Design of Coalition Resistant Credit Score Functions for Online Discussion Forums", Proceedings of the 2018 International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS’18. arXiv

Aritra Chaterjee, Ganesh Ghalme, Shweta Jain, Rohit Vaish, Y. Narahari. “On Thompson Sampling for Stochastic Sleeping Multi-armed Bandits Problem with Adversarial Availability”, International Conference on Uncertainty in Artificial Intelligences, UAI’17. arXiv

Ganesh Ghalme, Shweta Jain, Sujit Gujar, Y. Narahari. “Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems”, Proceedings of the 2017 International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS’17, pp 87--95. arXiv

Shweta Jain, Ganesh Ghalme, Satyanath Bhat, Sujit Gujar, Y. Narahari. “A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic Regret and Immediate Payments”, Proceedings of the 2016 International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS’16, pp 86-94. arXiv

Satyanath Bhat, Divya Padmanabhan, Shweta Jain, Y. Narahari. “A Truthful Mechanism with Bipartite Learning for Online Crowdsourcing”, Proceeding of the 2016 International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS’16, pp 1385-1386. arXiv

Arpita Biswas, Shweta Jain, Debmalya Mandal, Y. Narahari. “A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks”, Proceeding of the 2015 International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS’15, pp 1101-1109. arXiv

Satyanath Bhat, Shweta Jain, Sujit Gujar, Y. Narahari. “An Optimal Bidimensional Multi-armed Bandit Auction for Multi-unit Procurement”, Proceeding of the 2015 International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS’15, pp 1789-1790. arXiv

Shweta Jain, Sujit Gujar, Onno Zoeter, Y. Narahari. “A Quality Assuring Multi-Armed-Bandit Crowdsourcing Mechanism with Incentive Compatible Learning”, Thirteenth International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS’14, pp 1609-1610. arXiv

Shweta Jain, Balakrishnan Narayanaswamy, Y. Narahari. “A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids”, Proceedings of Twenty-Eighth {AAAI} Conference on Artificial Intelligence, AAAI’14, pp 721-727. arXiv

Shweta Jain, Balakrishnan Narayanaswamy, Y. Narahari, Saiful A Hussain, Voo Nyuk Yoong. “Constrained Tatonnement for Fast and Incentive Compatible Distributed Demand Management in Smart Grids”, Proceedings of the fourth international conference on Future energy systems, e-Energy'13, 125-136, 2013. arXiv