Constrained tâtonnement for fast and incentive compatible distributed demand management in smart grids. - Shweta Jain 002; Narayanaswamy Balakrishnan; Yadati Narahari; Saiful Azmi bin Hj Husain; Voo Nyuk Yoong (e-Energy, 2013)

A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids. - Shweta Jain 002; Balakrishnan Narayanaswamy; Y. Narahari (AAAI, 2014)

A quality assuring multi-armed bandit crowdsourcing mechanism with incentive compatible learning. - Shweta Jain 002; Sujit Gujar; Onno Zoeter; Y. Narahari (AAMAS, 2014)

An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance. - Shweta Jain 002; Sujit Gujar; Satyanath Bhat; Onno Zoeter; Y. Narahari (CoRR, 2014)

A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. - Arpita Biswas; Shweta Jain 002; Debmalya Mandal; Y. Narahari (AAMAS, 2015)

A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing: (Extended Abstract). - Satyanath Bhat; Divya Padmanabhan; Shweta Jain 002; Yadati Narahari (AAMAS, 2016)

A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic Regret and Immediate Payments. - Shweta Jain 002; Ganesh Ghalme; Satyanath Bhat; Sujit Gujar; Y. Narahari (AAMAS, 2016)

A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing. - Satyanath Bhat; Divya Padmanabhan; Shweta Jain 002; Y. Narahari (CoRR, 2016)

Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems. - Ganesh Ghalme; Shweta Jain 002; Sujit Gujar; Y. Narahari (AAMAS, 2017)

Analysis of Thompson Sampling for Stochastic Sleeping Bandits. - Aritra Chatterjee 001; Ganesh Ghalme; Shweta Jain 002; Rohit Vaish; Y. Narahari (UAI, 2017)

Design of Coalition Resistant Credit Score Functions for Online Discussion Forums. - Ganesh Ghalme; Sujit Gujar; Amleshwar Kumar; Shweta Jain 002; Y. Narahari (AAMAS, 2018)

A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing. - Shweta Jain 002; Sujit Gujar; Satyanath Bhat; Onno Zoeter; Y. Narahari (Artif. Intell., 2018)

Fair Division of Indivisible Goods Among Strategic Agents. - Siddharth Barman; Ganesh Ghalme; Shweta Jain 002; Pooja Kulkarni; Shivika Narang (AAMAS, 2019)

An optimal bidimensional multi-armed bandit auction for multi-unit procurement. - Satyanath Bhat; Shweta Jain 002; Sujit Gujar; Y. Narahari (Ann. Math. Artif. Intell., 2019)

A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids. - Shweta Jain 002; Sujit Gujar (AAAI, 2020)

Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions. - Kumar Abhishek 003; Shweta Jain 002; Sujit Gujar (AAMAS, 2020)

MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. - Rajat Sharma; Nikhil Reddy; Vidhya Kamakshi; Narayanan C. Krishnan; Shweta Jain 002 (CD-MAKE, 2021)

Designing Bounded Min-Knapsack Bandits Algorithm for Sustainable Demand Response. - Akansha Singh; P. Meghana Reddy; Shweta Jain 002; Sujit Gujar (PRICAI (1), 2021)

Ballooning multi-armed bandits. - Ganesh Ghalme; Swapnil Dhamal; Shweta Jain 002; Sujit Gujar; Y. Narahari (Artif. Intell., 2021)

Efficient Algorithms For Fair Clustering with a New Fairness Notion. - Shivam Gupta 004; Ganesh Ghalme; Narayanan C. Krishnan; Shweta Jain 002 (CoRR, 2021)

An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System. - Ajay Gangwar; Shweta Jain 002 (CoRR, 2021)

Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback. - Shrikant Saxena; Shweta Jain 002 (CoRR, 2021)

Budgeted Combinatorial Multi-Armed Bandits. - Debojit Das; Shweta Jain 002; Sujit Gujar (AAMAS, 2022)

Individual fairness in feature-based pricing for monopoly markets. - Shantanu Das; Swapnil Dhamal; Ganesh Ghalme; Shweta Jain 002; Sujit Gujar (UAI, 2022)

Affective Computational Advertising Based on Perceptual Metrics. - Soujanya Narayana; Shweta Jain 002; Harish Katti; Roland Goecke; Ramanathan Subramanian (CoRR, 2022)

Energy-and-delay-aware scheduling and load balancing in vehicular fog networks. - Vivek Sethi; Sujata Pal; Avani Vyas; Shweta Jain 002; Kshirasagar Naik (Telecommun. Syst., 2022)

Group Fair Clustering Revisited - Notions and Efficient Algorithm. - Shivam Gupta 004; Ganesh Ghalme; Narayanan C. Krishnan; Shweta Jain 002 (AAMAS, 2023)

A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC. - Sanjay Chandlekar; Arthik Boroju; Shweta Jain 002; Sujit Gujar (AAMAS, 2023)

On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy. - Sagalpreet Singh; Shweta Jain 002; Shashi Shekhar Jha (AAMAS, 2023)

Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem. - Napendra Solanki; Shweta Jain 002; Suman Banerjee 002; Yayathi Pavan Kumar S (AAMAS, 2023)

Algorithmic Recourse based on User's Feature-order Preference. - Manan Singh; Sai Srinivas Kancheti; Shivam Gupta 004; Ganesh Ghalme; Shweta Jain 002; Narayanan C. Krishnan (COMAD/CODS, 2023)

Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions. - Sumeet Gupta; Shweta Jain 002; Shashi Shekhar Jha; Pao-Ann Hsiung; Ming-Hung Wang (ECAI, 2023)

A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC. - Sanjay Chandlekar; Shweta Jain 002; Sujit Gujar (IJCAI, 2023)

Efficient algorithms for fair clustering with a new notion of fairness. - Shivam Gupta 004; Ganesh Ghalme; Narayanan C. Krishnan; Shweta Jain 002 (Data Min. Knowl. Discov., 2023)

Fairness and Privacy Guarantees in Federated Contextual Bandits. - Sambhav Solanki; Shweta Jain 002; Sujit Gujar (ACML, 2024)

Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits. - Subham Pokhriyal; Shweta Jain 002; Ganesh Ghalme; Swapnil Dhamal; Sujit Gujar (AAMAS, 2024)

Fairness of Exposure in Online Restless Multi-armed Bandits. - Archit Sood; Shweta Jain 002; Sujit Gujar (AAMAS, 2024)

Online Algorithm for Clustering with Capacity Constraints. - Shivam Gupta 004; Shweta Jain 002; Narayanan C. Krishnan; Ganesh Ghalme; Nandyala Hemachandra (COMAD/CODS, 2024)

CGFLasso: Combating Multicollinearity using Domain Knowledge. - Soumya Sarkar; Nitin Singhal; Shweta Jain 002; Shashi Shekhar Jha (COMAD/CODS, 2024)

Capacitated Online Clustering Algorithm. - Shivam Gupta 004; Shweta Jain 002; Narayanan C. Krishnan; Ganesh Ghalme; Nandyala Hemachandra (ECAI, 2024)

PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams. - Pranavkumar Mallela; Vinay Kumar; Shashi Shekhar Jha; Shweta Jain 002 (ECAI, 2024)

Towards Fairness in Provably Communication-Efficient Federated Recommender Systems. - Kirandeep Kaur; Sujit Gujar; Shweta Jain 002 (CoRR, 2024)

Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions. - Shivam Gupta 004; Tarushi; Tsering Wangzes; Shweta Jain 002 (CoRR, 2024)

EqBal-RS: Mitigating popularity bias in recommender systems. - Shivam Gupta 004; Kirandeep Kaur; Shweta Jain 002 (J. Intell. Inf. Syst., 2024)

Exploring and mitigating gender bias in book recommender systems with explicit feedback. - Shrikant Saxena; Shweta Jain 002 (J. Intell. Inf. Syst., 2024)

Fair Assignment on Multi-Stage Graphs. - Vibulan J; Swapnil Dhamal; Shweta Jain 002; Ojassvi Kumar; Aman Kumar; Harpreet Singh (AAMAS, 2025)

Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework. - Subham Pokhriyal; Shweta Jain 002; Ganesh Ghalme; Vaneet Aggarwal (AAMAS, 2025)

FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare. - Avyukta Manjunatha Vummintala; Shivam Gupta 004; Shweta Jain 002; Sujit Gujar (AAMAS, 2025)

Fairness Driven Slot Allocation Problem in Billboard Advertisement. - Dildar Ali; Suman Banerjee 002; Shweta Jain 002; Yamuna Prasad (PAKDD (2), 2025)

Bi-Criteria Optimization for Combinatorial Bandits: Sublinear Regret and Constraint Violation under Bandit Feedback. - Vaneet Aggarwal; Shweta Jain 002; Subham Pokhriyal; Christopher John Quinn (CoRR, 2025)