I am a second-year PhD student at the Paul G. Allen School of Computer Science and Engineering, University of Washington. I am co-advised by Prof. Kevin Jamieson and Prof. Lillian Ratliff.
In June 2022, I finished my undergraduate from the Computer Science and Engineering Department, Indian Institute of Technology Kharagpur. I did my undergraduate research work in Theoretical Computer Science under the guidance of Prof. Siddharth Barman, Prof. Arindam Khan and Prof. Palash Dey.
My current research focuses on design and analysis of algorithms in the areas of game theory and learning theory.
In the past, I have also worked on Computational Geometry, Parameterized Algorithms, Online Algorithms, Approximation Algorithms and Computational Social Choice.
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Publications
Notation: (*) indicates main contributer. Absence of (*) indicates alphabetical order in Last Name.
Arnab Maiti*, Kevin Jamieson, Lillian Ratliff: Instance-dependent Bounds for Zero-sum Matrix Games. Full paper appeared at AISTATS 2023 [Paper].
Siddharth Barman, Arindam Khan, Arnab Maiti, Ayush Sawarni: Fairness and Welfare Quantification for Regret in Multi-Armed Bandits. Full paper appeared at AAAI 2023 and is selected for Oral Presentation. [Paper]
Arnab Maiti*, Palash Dey: Parameterized Algorithms for Kidney Exchange.
Full paper is published at IJCAI 2022, Extended abstract is published at AAMAS 2022 [Paper]Arindam Khan, Aditya Lonkar, Arnab Maiti, Amatya Sharma, Andreas Wiese: Tight Approximation Algorithms for Two Dimensional Guillotine Strip Packing.
Published in International Colloquium on Automata, Languages and Programming (ICALP) 2022 [Paper]Arnab Maiti*, Palash Dey: On Parameterized Complexity of Binary Networked Public Goods Game.
Full paper is published at AAMAS 2022 [Paper]Siddharth Barman, Arindam Khan, Arnab Maiti: Universal and Tight Online Algorithms for Generalized-Mean Welfare.
Published at AAAI 2022 and also selected for Oral Presentation [Paper]Arnab Maiti*, Vishakha Patil, Arindam Khan: Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization.
Published at NeurIPS 2021 [Paper] [Talk by Arnab Maiti] [Slides]Arindam Khan, Arnab Maiti, Amatya Sharma, Andreas Wiese : On Guillotine Separable Packings for the Two-Dimensional Geometric Knapsack Problem.
Symposium on Computational Geometry (SoCG) 2021: 48:1-48:17
[Paper] [Talk by Arnab Maiti] [Slides] [Our paper also featured in Highlights of Algorithms 2021]Palash Dey, Arnab Maiti, Amatya Sharma: On Parameterized Complexity of Liquid Democracy.
Conference on Algorithms and Discrete Applied Mathematics (CALDAM) 2021: 83-94
[Paper] [Joint Talk by Amatya Sharma and Arnab Maiti] [Slides]