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ORCIDArpita Biswas
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2020 – today
- 2024
[c25]Arpita Biswas, Yiduo Ke, Samir Khuller, Quanquan C. Liu:
Fair Allocation of Conflicting Courses under Additive Utilities. AAMAS 2024: 2162-2164- 2023
- [j9]Arpita Biswas, Abhishek Majumdar
, Sourav Nath, A. Dutta, Krishna Lal Baishnab:
LRBC: a lightweight block cipher design for resource constrained IoT devices. J. Ambient Intell. Humaniz. Comput. 14(5): 5773-5787 (2023) - [c24]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: 14295-14303 - [c23]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: 1321-1328 - [c22]Arpita Biswas, Yiduo Ke, Samir Khuller, Quanquan C. Liu:
An Algorithmic Approach to Address Course Enrollment Challenges. FORC 2023: 8:1-8:23 - [i18]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 abs/2303.00799 (2023) - [i17]Arpita Biswas, Yiduo Ke, Samir Khuller, Quanquan C. Liu:
An Algorithmic Approach to Address Course Enrollment Challenges. CoRR abs/2304.07982 (2023) - 2022
- [j8]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): 161501 (2022) - [j7]Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
Toward Fair Recommendation in Two-sided Platforms. ACM Trans. Web 16(2): 8:1-8:34 (2022) - [c21]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: 12461-12467 - [c20]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: 880-888 - [c19]Shivika Narang, Arpita Biswas, Yadati Narahari:
On Achieving Leximin Fairness and Stability in Many-to-One Matchings. AAMAS 2022: 1705-1707 - [c18]Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe:
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. IJCAI 2022: 5206-5212 - [c17]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: 990-1000 - [i16]Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
Towards Fair Recommendation in Two-Sided Platforms. CoRR abs/2201.01180 (2022) - [i15]Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe:
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. CoRR abs/2205.05659 (2022) - 2021
- [j6]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): 153807 (2021) - [j5]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): 1039-1056 (2021) - [j4]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): 4122-4144 (2021) - [c16]Arpita Biswas, Suvam Mukherjee:
Ensuring Fairness under Prior Probability Shifts. AIES 2021: 414-424 - [c15]Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learning Index Policies for Restless Bandits with Application to Maternal Healthcare. AAMAS 2021: 1467-1468 - [c14]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: 4039-4046 - [c13]Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe:
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. KDD 2021: 871-881 - [i14]Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Milind Tambe:
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. CoRR abs/2103.04730 (2021) - [i13]Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. CoRR abs/2105.07965 (2021) - [i12]Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe:
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. CoRR abs/2106.12024 (2021) - [i11]Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe:
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning. CoRR abs/2107.01689 (2021) - 2020
- [j3]Suvam Mukherjee, Pantazis Deligiannis, Arpita Biswas, Akash Lal:
Learning-based controlled concurrency testing. Proc. ACM Program. Lang. 4(OOPSLA): 230:1-230:31 (2020) - [c12]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: 97-104 - [c11]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: 1194-1204 - [i10]Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. CoRR abs/2002.10764 (2020) - [i9]Arpita Biswas, Shruthi Bannur, Prateek Jain, Srujana Merugu:
COVID-19: Strategies for Allocation of Test Kits. CoRR abs/2004.01740 (2020) - [i8]Arpita Biswas, Suvam Mukherjee:
Ensuring Fairness under Prior Probability Shifts. CoRR abs/2005.03474 (2020) - [i7]Shivika Narang, Arpita Biswas, Y. Narahari:
On Achieving Fairness and Stability in Many-to-One Matchings. CoRR abs/2009.05823 (2020)
2010 – 2019
- 2019
- [j2]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): 3794-3820 (2019) - [j1]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): 3957-3969 (2019) - [c10]Arpita Biswas, Siddharth Barman:
Matroid Constrained Fair Allocation Problem. AAAI 2019: 9921-9922 - [c9]Arpita Biswas, Suvam Mukherjee:
Fairness Through the Lens of Proportional Equality. AAMAS 2019: 1832-1834 - [i6]Arpita Biswas, Siddharth Barman, Amit Deshpande, Amit Sharma:
Quantifying Infra-Marginality and Its Trade-off with Group Fairness. CoRR abs/1909.00982 (2019) - 2018
- [c8]Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari:
Groupwise Maximin Fair Allocation of Indivisible Goods. AAAI 2018: 917-924 - [c7]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: 78-85 - [c6]Arpita Biswas, Siddharth Barman:
Fair Division Under Cardinality Constraints. IJCAI 2018: 91-97 - [i5]Siddharth Barman, Arpita Biswas:
Fair Division Under Cardinality Constraints. CoRR abs/1804.09521 (2018) - 2017
- [c5]Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Koyel Mukherjee, Asmita Metrewar, Thangaraj Rajasubramaniam:
Profit Optimization in Commercial Ridesharing. AAMAS 2017: 1481-1483 - [i4]Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj:
Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. CoRR abs/1706.02682 (2017) - [i3]Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Y. Narahari:
Groupwise Maximin Fair Allocation of Indivisible Goods. CoRR abs/1711.07621 (2017) - 2016
- [c4]Arpita Biswas, Ragavendran Gopalakrishnan, Partha Dutta:
Managing Overstaying Electric Vehicles in Park-and-Charge Facilities. IJCAI 2016: 2465-2471 - [c3]Ragavendran Gopalakrishnan, Arpita Biswas, Alefiya Lightwala, Skanda Vasudevan, Partha Dutta, Abhishek Tripathi:
Demand Prediction and Placement Optimization for Electric Vehicle Charging Stations. IJCAI 2016: 3117-3123 - [i2]Arpita Biswas, Ragavendran Gopalakrishnan, Partha Dutta:
Managing Overstaying Electric Vehicles in Park-and-Charge Facilities. CoRR abs/1604.05471 (2016) - [i1]Ragavendran Gopalakrishnan, Arpita Biswas, Alefiya Lightwala, Skanda Vasudevan, Partha Dutta, Abhishek Tripathi:
Demand Prediction and Placement Optimization for Electric Vehicle Charging Stations. CoRR abs/1604.05472 (2016) - 2015
- [c2]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 - [c1]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: 22-31
Coauthor Index
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