Shweta Jain
Assistant Professor,
Room 216, Dept. of Computer Science and Engineering,
Research Interests
My research interest includes the area of Game theory and Mechanism Design. I am interested in working in the area of intersection of machine learning and mechanism design.
Currently, I am looking at the problem of Multi-armed Bandit Mechanism and its applications
to Auctions, Crowdsourcing, Internet Advertising, and smart grids.
E-mail: shwetajain [AT] iitrpr [dot] ac [dot] in
Recent News
Paper titled A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC has been accepted in IJCAI 2023. Collaborators: Sanjay Chandelkar (IIIT Hyderabad) and Sujit Gujar (IIIT Hyderabad)
Paper titled On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy got accepted as full paper in AAMAS 2023. Collaborators: Sagalpreet Singh (IIT Ropar), Shashi Shekhar Jha (IIT Ropar)
Paper titled Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem got accepted as full paper in AAMAS 2023. Collaborators: Napendra Solanki (IIT Ropar), Suman Banerjee (IIT Jammu), Yayathi Pavan (IIT Ropar)
Paper titled A Novel Demand Response Model and Method for Peak Reduction in Smart Grids — PowerTAC got accepted as extended abstract in AAMAS 2023. Collaborators: Sanjay Chandelkar (IIIT Hyderabad), Boroju Arthik (IIT Ropar), Sujit Gujar (IIIT Hyderabad)
Paper titled Group Fair Clustering Revisited — Notions and Efficient Algorithm got accepted as extended abstract in AAMAS 2023. Collaborators: Shivam Gupta (IIT Ropar), Ganesh Ghalme (IIT Hyderabad), Narayanan C. Krishnan (IIT Palakkad)
Paper titled Individual Fairness in Feature-Based Pricing for Monopoly Markets got accepted to UAI 2022. Collaborators, Shantanu Das (IIIT Hyderabad), Sujit Gujar (IIIT Hyderabad), Swapnil Dhamal (Telcom SudParis), Ganesh Ghalme (IIT Hyderabad).
Paper titled Budgeted Combinatorial Multiarmed Bandits got accepted to AAMAS 2022. Collaborators, Debojit Das (IIIT Hyderabad) and Sujit Gujar (IIIT Hyderabad).
Paper titled Efficient Algorithms For Fair Clustering with a New Fairness Notion won best paper award at RBCDSAI-FCAI Conference on Deployable AI (DAI'22),
Paper titled An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System got accepted in fourth FAccTRec Workshop on Responsible Recommendation 2021 under ACM Recsys conference. Collaborator: Ajay Gangawar (IIT Ropar).
Paper titled Designing Bounded min-Knapsack Bandits Algorithm for Sustainable Demand Response got accepted in the 8th Pacific Rim International Conference on Artificial Intelligence, 2021 and for Spotlight talk and Poster presentation at Tackling climate Change with Machine Learning Workshop at ICML 2021. Collaborators: Meghana Reddy (IIT Ropar), Akansha Singh (IIT Ropar), Sujit Gujar (IIIT Hyderabad), Zoltan Nagy (University of Texas, Austin).
Other Professional Activities:
Co-ordinator, Indo-Taiwan Joint Research Center on Artificial Intelligence and Machine Learning, IIT Ropar
SPC Member: IJCAI 2021, IJCAI 2022
PC Member: AAAI 2022, AAAI 2021, IJCAI 2020, WebConf 2020 (Social Network Track)