Shweta Jain

Orcid: 0000-0002-2666-9058

Affiliations:
  • Indian Institute of Technology, Ropar (IIT Ropar), India
  • Indian Institute of Science, Bangalore, India (former)


According to our database1, Shweta Jain authored at least 45 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Bibliography

2024
Exploring and mitigating gender bias in book recommender systems with explicit feedback.
J. Intell. Inf. Syst., October, 2024

EqBal-RS: Mitigating popularity bias in recommender systems.
J. Intell. Inf. Syst., April, 2024

Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions.
CoRR, 2024

Towards Fairness in Provably Communication-Efficient Federated Recommender Systems.
CoRR, 2024

PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Capacitated Online Clustering Algorithm.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

CGFLasso: Combating Multicollinearity using Domain Knowledge.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Online Algorithm for Clustering with Capacity Constraints.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Fairness of Exposure in Online Restless Multi-armed Bandits.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Fairness and Privacy Guarantees in Federated Contextual Bandits.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Efficient algorithms for fair clustering with a new notion of fairness.
Data Min. Knowl. Discov., September, 2023

A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Algorithmic Recourse based on User's Feature-order Preference.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Group Fair Clustering Revisited - Notions and Efficient Algorithm.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Energy-and-delay-aware scheduling and load balancing in vehicular fog networks.
Telecommun. Syst., 2022

Affective Computational Advertising Based on Perceptual Metrics.
CoRR, 2022

Individual fairness in feature-based pricing for monopoly markets.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Budgeted Combinatorial Multi-Armed Bandits.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback.
CoRR, 2021

An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System.
CoRR, 2021

Efficient Algorithms For Fair Clustering with a New Fairness Notion.
CoRR, 2021

Ballooning multi-armed bandits.
Artif. Intell., 2021

Designing Bounded Min-Knapsack Bandits Algorithm for Sustainable Demand Response.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers.
Proceedings of the Machine Learning and Knowledge Extraction, 2021

2020
Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
An optimal bidimensional multi-armed bandit auction for multi-unit procurement.
Ann. Math. Artif. Intell., 2019

Fair Division of Indivisible Goods Among Strategic Agents.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing.
Artif. Intell., 2018

Design of Coalition Resistant Credit Score Functions for Online Discussion Forums.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Analysis of Thompson Sampling for Stochastic Sleeping Bandits.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing.
CoRR, 2016

A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic Regret and Immediate Payments.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance.
CoRR, 2014

A quality assuring multi-armed bandit crowdsourcing mechanism with incentive compatible learning.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Constrained tâtonnement for fast and incentive compatible distributed demand management in smart grids.
Proceedings of the Fourth International Conference on Future Energy Systems, 2013


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