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ORCIDShweta Jain 0002
Person information
- affiliation: Indian Institute of Technology, Ropar (IIT Ropar), India
- affiliation (former): Indian Institute of Science, Bangalore, India
Other persons with the same name
- Shweta Jain 0001
![[0000-0002-4962-0054]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4962-0054")
— City University of New York, John Jay College of Criminal Justice, NY, USA (and 4 more) - Shweta Jain 0003 — University of California, Santa Cruz, CA, USA
- Shweta Jain 0004 — Pandit Dwarka Prasad Mishra Indian Institute of Information Technology, Jabalpur, India
- Shweta Jain 0005 — Intel Corporation
- Shweta Jain 0007 — University of Utah, Salt Lake City, UT, USA
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Journal Articles
- 2024
[j6]Shivam Gupta, Kirandeep Kaur, Shweta Jain:
EqBal-RS: Mitigating popularity bias in recommender systems. J. Intell. Inf. Syst. 62(2): 509-534 (2024)- 2023
- [j5]Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain:
Efficient algorithms for fair clustering with a new notion of fairness. Data Min. Knowl. Discov. 37(5): 1959-1997 (2023) - 2022
- [j4]Vivek Sethi, Sujata Pal, Avani Vyas, Shweta Jain, Kshirasagar Naik:
Energy-and-delay-aware scheduling and load balancing in vehicular fog networks. Telecommun. Syst. 81(3): 373-387 (2022) - 2021
- [j3]Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari:
Ballooning multi-armed bandits. Artif. Intell. 296: 103485 (2021) - 2019
- [j2]Satyanath Bhat, Shweta Jain, Sujit Gujar, Y. Narahari:
An optimal bidimensional multi-armed bandit auction for multi-unit procurement. Ann. Math. Artif. Intell. 85(1): 1-19 (2019) - 2018
- [j1]Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, Y. Narahari:
A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing. Artif. Intell. 254: 44-63 (2018)
Conference and Workshop Papers
- 2024
- [c30]Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Swapnil Dhamal, Sujit Gujar:
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits. AAMAS 2024: 1576-1584 - [c29]Sambhav Solanki, Sujit Gujar, Shweta Jain:
Fairness and Privacy Guarantees in Federated Contextual Bandits. AAMAS 2024: 2471-2473 - [c28]Archit Sood, Shweta Jain, Sujit Gujar:
Fairness of Exposure in Online Restless Multi-armed Bandits. AAMAS 2024: 2474-2476 - [c27]Soumya Sarkar, Nitin Singhal, Shweta Jain, Shashi Shekhar Jha:
CGFLasso: Combating Multicollinearity using Domain Knowledge. COMAD/CODS 2024: 252-256 - [c26]Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra:
Online Algorithm for Clustering with Capacity Constraints. COMAD/CODS 2024: 572-573 - 2023
- [c25]Napendra Solanki, Shweta Jain, Suman Banerjee, Yayathi Pavan Kumar S:
Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem. AAMAS 2023: 86-94 - [c24]Sagalpreet Singh, Shweta Jain, Shashi Shekhar Jha:
On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy. AAMAS 2023: 317-325 - [c23]Sanjay Chandlekar, Arthik Boroju, Shweta Jain, Sujit Gujar:
A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC. AAMAS 2023: 2520-2522 - [c22]Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain:
Group Fair Clustering Revisited - Notions and Efficient Algorithm. AAMAS 2023: 2854-2856 - [c21]Manan Singh, Sai Srinivas Kancheti, Shivam Gupta, Ganesh Ghalme, Shweta Jain, Narayanan C. Krishnan:
Algorithmic Recourse based on User's Feature-order Preference. COMAD/CODS 2023: 293-294 - [c20]Sumeet Gupta, Shweta Jain, Shashi Shekhar Jha, Pao-Ann Hsiung, Ming-Hung Wang:
Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions. ECAI 2023: 956-963 - [c19]Sanjay Chandlekar, Shweta Jain, Sujit Gujar:
A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC. IJCAI 2023: 3497-3504 - 2022
- [c18]Debojit Das, Shweta Jain, Sujit Gujar:
Budgeted Combinatorial Multi-Armed Bandits. AAMAS 2022: 345-353 - [c17]Shantanu Das, Swapnil Dhamal, Ganesh Ghalme, Shweta Jain, Sujit Gujar:
Individual fairness in feature-based pricing for monopoly markets. UAI 2022: 486-495 - 2021
- [c16]Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain:
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. CD-MAKE 2021: 329-349 - [c15]Akansha Singh, P. Meghana Reddy, Shweta Jain, Sujit Gujar:
Designing Bounded Min-Knapsack Bandits Algorithm for Sustainable Demand Response. PRICAI (1) 2021: 3-17 - 2020
- [c14]Shweta Jain, Sujit Gujar:
A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids. AAAI 2020: 2046-2053 - [c13]Kumar Abhishek, Shweta Jain, Sujit Gujar:
Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions. AAMAS 2020: 1732-1734 - [c12]Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari:
Ballooning Multi-Armed Bandits. AAMAS 2020: 1849-1851 - 2019
- [c11]Siddharth Barman, Ganesh Ghalme, Shweta Jain, Pooja Kulkarni, Shivika Narang:
Fair Division of Indivisible Goods Among Strategic Agents. AAMAS 2019: 1811-1813 - 2018
- [c10]Ganesh Ghalme, Sujit Gujar, Amleshwar Kumar, Shweta Jain, Y. Narahari:
Design of Coalition Resistant Credit Score Functions for Online Discussion Forums. AAMAS 2018: 95-103 - 2017
- [c9]Ganesh Ghalme, Shweta Jain, Sujit Gujar, Y. Narahari:
Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems. AAMAS 2017: 87-95 - [c8]Aritra Chatterjee, Ganesh Ghalme, Shweta Jain, Rohit Vaish, Y. Narahari:
Analysis of Thompson Sampling for Stochastic Sleeping Bandits. UAI 2017 - 2016
- [c7]Shweta Jain, Ganesh Ghalme, Satyanath Bhat, Sujit Gujar, Y. Narahari:
A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic Regret and Immediate Payments. AAMAS 2016: 86-94 - [c6]Satyanath Bhat, Divya Padmanabhan, Shweta Jain, Yadati Narahari:
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing: (Extended Abstract). AAMAS 2016: 1385-1386 - 2015
- [c5]Arpita Biswas, Shweta Jain, Debmalya Mandal, Y. Narahari:
A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. AAMAS 2015: 1101-1109 - [c4]Satyanath Bhat, Shweta Jain, Sujit Gujar, Yadati Narahari:
An Optimal Bidimensional Multi-Armed Bandit Auction for Multi-unit Procurement. AAMAS 2015: 1789-1790 - 2014
- [c3]Shweta Jain, Balakrishnan Narayanaswamy, Y. Narahari:
A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids. AAAI 2014: 721-727 - [c2]Shweta Jain, Sujit Gujar, Onno Zoeter, Y. Narahari:
A quality assuring multi-armed bandit crowdsourcing mechanism with incentive compatible learning. AAMAS 2014: 1609-1610 - 2013
- [c1]Shweta Jain, Narayanaswamy Balakrishnan, Yadati Narahari, Saiful Azmi bin Hj Husain, Voo Nyuk Yoong:
Constrained tâtonnement for fast and incentive compatible distributed demand management in smart grids. e-Energy 2013: 125-136
Informal and Other Publications
- 2024
- [i18]Sambhav Solanki, Shweta Jain, Sujit Gujar:
Fairness and Privacy Guarantees in Federated Contextual Bandits. CoRR abs/2402.03531 (2024) - [i17]Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Swapnil Dhamal, Sujit Gujar:
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits. CoRR abs/2402.05575 (2024) - [i16]Archit Sood, Shweta Jain, Sujit Gujar:
Fairness of Exposure in Online Restless Multi-armed Bandits. CoRR abs/2402.06348 (2024) - [i15]Kirandeep Kaur, Sujit Gujar, Shweta Jain:
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems. CoRR abs/2405.15788 (2024) - 2023
- [i14]Sanjay Chandlekar, Arthik Boroju, Shweta Jain, Sujit Gujar:
A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC. CoRR abs/2302.12520 (2023) - 2022
- [i13]Debojit Das, Shweta Jain, Sujit Gujar:
Budgeted Combinatorial Multi-Armed Bandits. CoRR abs/2202.03704 (2022) - [i12]Shantanu Das, Swapnil Dhamal, Ganesh Ghalme, Shweta Jain, Sujit Gujar:
Individual Fairness in Feature-Based Pricing for Monopoly Markets. CoRR abs/2202.12844 (2022) - [i11]Soujanya Narayana, Shweta Jain, Harish Katti, Roland Goecke, Ramanathan Subramanian:
Affective Computational Advertising Based on Perceptual Metrics. CoRR abs/2207.07297 (2022) - 2021
- [i10]Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain:
Efficient Algorithms For Fair Clustering with a New Fairness Notion. CoRR abs/2109.00708 (2021) - [i9]Ajay Gangwar, Shweta Jain:
An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System. CoRR abs/2109.05677 (2021) - [i8]Shrikant Saxena, Shweta Jain:
Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback. CoRR abs/2112.02530 (2021) - 2020
- [i7]Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari:
Ballooning Multi-Armed Bandits. CoRR abs/2001.10055 (2020) - [i6]Kumar Abhishek, Shweta Jain, Sujit Gujar:
Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions. CoRR abs/2002.11349 (2020) - [i5]Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain:
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. CoRR abs/2011.01506 (2020) - 2019
- [i4]Siddharth Barman, Ganesh Ghalme, Shweta Jain, Pooja Kulkarni, Shivika Narang:
Fair Division of Indivisible Goods Among Strategic Agents. CoRR abs/1901.09427 (2019) - 2016
- [i3]Satyanath Bhat, Divya Padmanabhan, Shweta Jain, Y. Narahari:
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing. CoRR abs/1602.04032 (2016) - 2015
- [i2]Satyanath Bhat, Shweta Jain, Sujit Gujar, Y. Narahari:
An Optimal Bidimensional Multi-Armed Bandit Auction for Multi-unit Procurement. CoRR abs/1502.06934 (2015) - 2014
- [i1]Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, Y. Narahari:
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance. CoRR abs/1406.7157 (2014)
Coauthor Index
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last updated on 2024-06-20 23:15 CEST by the dblp team
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