Arpita Biswas

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Energy Efficient

Reinforcement Learning

Bandit Problems

Top Venues

Publications

Arpita Biswas, Yiduo Ke, Samir Khuller, Quanquan C. Liu
Fair Allocation of Conflicting Courses under Additive Utilities. AAMAS (2024)
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. AAMAS (2023)
Arpita Biswas, Abhishek Majumdar, S. Nath, A. Dutta, Krishna Lal Baishnab
LRBC: a lightweight block cipher design for resource constrained IoT devices. J. Ambient Intell. Humaniz. Comput. 14 (5) (2023)
Arpita Biswas, Yiduo Ke, Samir Khuller, Quanquan C. Liu
An Algorithmic Approach to Address Course Enrollment Challenges. FORC (2023)
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. CoRR (2023)
Arpita Biswas, Yiduo Ke, Samir Khuller, Quanquan C. Liu
An Algorithmic Approach to Address Course Enrollment Challenges. CoRR (2023)
Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, Milind Tambe
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. AAAI (2023)
Aditya S. Mate, Arpita Biswas, Christoph Siebenbrunner, Susobhan Ghosh, Milind Tambe
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. AAMAS (2022)
Arpita Biswas, Abhishek Majumdar, Soumyabrata Das, Krishna Lal Baishnab
OCSO-CA: opposition based competitive swarm optimizer in energy efficient IoT clustering. Frontiers Comput. Sci. 16 (1) (2022)
Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Toward Fair Recommendation in Two-sided Platforms. ACM Trans. Web 16 (2) (2022)
Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. CoRR (2022)
Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning. UAI (2022)
Shivika Narang, Arpita Biswas, Yadati Narahari
On Achieving Leximin Fairness and Stability in Many-to-One Matchings. AAMAS (2022)
Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Towards Fair Recommendation in Two-Sided Platforms. CoRR (2022)
Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe
Using Public Data to Predict Demand for Mobile Health Clinics. AAAI (2022)
Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. IJCAI (2022)
Arpita Biswas, Suvam Mukherjee
Ensuring Fairness under Prior Probability Shifts. AIES (2021)
Abhishek Majumdar, Tapas Debnath, Arpita Biswas, Sandeep K. Sood, Krishna Lal Baishnab
An Energy Efficient e-Healthcare Framework Supported by Novel EO-μGA (Extremal Optimization Tuned Micro-Genetic Algorithm). Inf. Syst. Frontiers 23 (4) (2021)
Abhishek Majumdar, Arpita Biswas, Atanu Majumder, Sandeep Kumar Sood, Krishna Lal Baishnab
A novel DNA-inspired encryption strategy for concealing cloud storage. Frontiers Comput. Sci. 15 (3) (2021)
Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. CoRR (2021)
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. CoRR (2021)
Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning. CoRR (2021)
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
Learning Index Policies for Restless Bandits with Application to Maternal Healthcare. AAMAS (2021)
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. IJCAI (2021)
Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. KDD (2021)
Siddhartha Roy, Saptarshi Roy, Arpita Biswas, Krishna Lal Baishnab
LCB: Light Cipher Block An Ultrafast Lightweight Block Cipher For Resource Constrained IOT Security Applications. KSII Trans. Internet Inf. Syst. 15 (11) (2021)
Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Milind Tambe
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. CoRR (2021)
Arpita Biswas, Shruthi Bannur, Prateek Jain, Srujana Merugu
COVID-19: Strategies for Allocation of Test Kits. CoRR (2020)
Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. CoRR (2020)
Suvam Mukherjee, Pantazis Deligiannis, Arpita Biswas, Akash Lal
Learning-based controlled concurrency testing. Proc. ACM Program. Lang. 4 (OOPSLA) (2020)
Shivika Narang, Arpita Biswas, Y. Narahari
On Achieving Fairness and Stability in Many-to-One Matchings. CoRR (2020)
Arpita Biswas, Suvam Mukherjee
Ensuring Fairness under Prior Probability Shifts. CoRR (2020)
Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. WWW (2020)
Arpita Biswas, Marta Kolczynska, Saana Rantanen, Polina Rozenshtein
The Role of In-Group Bias and Balanced Data: A Comparison of Human and Machine Recidivism Risk Predictions. COMPASS (2020)
Abhishek Majumdar, Arpita Biswas, Krishna Lal Baishnab, Sandeep K. Sood
DNA Based Cloud Storage Security Framework Using Fuzzy Decision Making Technique. KSII Trans. Internet Inf. Syst. 13 (7) (2019)
Abhishek Majumdar, Naushad Manzoor Laskar, Arpita Biswas, Sandeep K. Sood, Krishna Lal Baishnab
Energy efficient e-healthcare framework using HWPSO-based clustering approach. J. Intell. Fuzzy Syst. 36 (5) (2019)
Arpita Biswas, Siddharth Barman, Amit Deshpande, Amit Sharma
Quantifying Infra-Marginality and Its Trade-off with Group Fairness. CoRR (2019)
Arpita Biswas, Suvam Mukherjee
Fairness Through the Lens of Proportional Equality. AAMAS (2019)
Arpita Biswas, Siddharth Barman
Matroid Constrained Fair Allocation Problem. AAAI (2019)
Arpita Biswas, Siddharth Barman
Fair Division Under Cardinality Constraints. IJCAI (2018)
Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj
Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. ATT@IJCAI (2018)
Siddharth Barman, Arpita Biswas
Fair Division Under Cardinality Constraints. CoRR (2018)
Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari
Groupwise Maximin Fair Allocation of Indivisible Goods. AAAI (2018)
Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Y. Narahari
Groupwise Maximin Fair Allocation of Indivisible Goods. CoRR (2017)
Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Koyel Mukherjee, Asmita Metrewar, Thangaraj Rajasubramaniam
Profit Optimization in Commercial Ridesharing. AAMAS (2017)
Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj
Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. CoRR (2017)
Ragavendran Gopalakrishnan, Arpita Biswas, Alefiya Lightwala, Skanda Vasudevan, Partha Dutta, Abhishek Tripathi
Demand Prediction and Placement Optimization for Electric Vehicle Charging Stations. CoRR (2016)
Ragavendran Gopalakrishnan, Arpita Biswas, Alefiya Lightwala, Skanda Vasudevan, Partha Dutta, Abhishek Tripathi
Demand Prediction and Placement Optimization for Electric Vehicle Charging Stations. IJCAI (2016)
Arpita Biswas, Ragavendran Gopalakrishnan, Partha Dutta
Managing Overstaying Electric Vehicles in Park-and-Charge Facilities. IJCAI (2016)
Arpita Biswas, Ragavendran Gopalakrishnan, Partha Dutta
Managing Overstaying Electric Vehicles in Park-and-Charge Facilities. CoRR (2016)
Arpita Biswas, Deepthi Chander, Koustuv Dasgupta, Koyel Mukherjee, Mridula Singh, Tridib Mukherjee
PISCES: Participatory Incentive Strategies for Effective Community Engagement in Smart Cities. HCOMP (2015)
Arpita Biswas, Shweta Jain, Debmalya Mandal, Y. Narahari
A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. AAMAS (2015)