Debmalya Mandal

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Goran RadanovićResearch Group Leader, Max Planck Institute for Software SystemsVerified email at mpi-sws.org
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerified email at eecs.harvard.edu
y. narahariProfessor of Computer Science, Indian Institute of Science, BangaloreVerified email at iisc.ac.in
Nisarg ShahAssociate Professor, University of TorontoVerified email at cs.toronto.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Adish SinglaTenured Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
Long Tran-ThanhProfessor in Computer Science, University of WarwickVerified email at warwick.ac.uk
Jiarui GanUniversity of OxfordVerified email at cs.ox.ac.uk
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Samuel DengPhD Student, Columbia UniversityVerified email at cs.columbia.edu
Yang LiuComputer Science and Engineering, UC Santa CruzVerified email at ucsc.edu
Christos DimitrakakisProfessor, University of NeuchatelVerified email at alumni.epfl.ch
Sourav MedyaUniversity of Illinois Chicago (UIC)Verified email at uic.edu
Hadi HosseiniPenn State UniversityVerified email at psu.edu
Suman JanaAssociate Professor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Jeannette M WingExecutive Vice President for Research, Professor of Computer Science, Columbia UniversityVerified email at columbia.edu
Arpita BiswasAssitant Professor, Rutgers University, NJ, USAVerified email at cs.rutgers.edu
Arpit AgarwalAssistant Professor, IIT BombayVerified email at iitb.ac.in
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Brian UzziProfessor, Northwestern UniversityVerified email at northwestern.edu

Debmalya Mandal

Assistant Professor, University of Warwick

Verified email at warwick.ac.uk - Homepage

Computational Social Choice Algorithmic Fairness Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Calibrated fairness in bandits Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes Fairness, Accountability, and Transparency in Machine Learning, 2017	138	2017
Ensuring Fairness Beyond the Training Data D Mandal, S Deng, S Jana, JM Wing, D Hsu Advances in Neural Information Processing Systems 33, 2020	71	2020
A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. A Biswas, S Jain, D Mandal, Y Narahari AAMAS, 1101-1109, 2015	69	2015
Peer prediction with heterogeneous users A Agarwal, D Mandal, DC Parkes, N Shah ACM Transactions on Economics and Computation (TEAC) 8 (1), 1-34, 2020	62	2020
Efficient and thrifty voting by any means necessary D Mandal, AD Procaccia, N Shah, D Woodruff Advances in Neural Information Processing Systems 32, 2019	57	2019
Optimal communication-distortion tradeoff in voting D Mandal, N Shah, DP Woodruff Proceedings of the 21st ACM Conference on Economics and Computation, 795-813, 2020	50	2020
Metalearning with graph neural networks: Methods and applications D Mandal, S Medya, B Uzzi, C Aggarwal ACM SIGKDD Explorations Newsletter 23 (2), 13-22, 2022	48	2022
Peer Prediction with Heterogeneous Tasks D Mandal, M Leifer, DC Parkes, G Pickard, V Shnayder arXiv preprint arXiv:1612.00928, 2016	18	2016
Performative reinforcement learning D Mandal, S Triantafyllou, G Radanovic International Conference on Machine Learning, 23642-23680, 2023	17	2023
Socially fair reinforcement learning D Mandal, J Gan arXiv preprint arXiv:2208.12584, 2022	17	2022
Surprisingly Popular Voting Recovers Rankings, Surprisingly! H Hosseini, D Mandal, N Shah, K Shi IJCAI’21, 2021	17	2021
Novel mechanisms for online crowdsourcing with unreliable, strategic agents P Chandra, Y Narahari, D Mandal, P Dey AAAI'15 Twenty-Ninth AAAI Conference on Artificial Intelligence, 1256-1262, 2015	17	2015
Adversarial blocking bandits N Bishop, H Chan, D Mandal, L Tran-Thanh Advances in Neural Information Processing Systems 33, 2020	16	2020
The Effectiveness of Peer Prediction in Long-Term Forecasting M Debmalya, R Goran, P David Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 2160-2167, 2020	10	2020
Implicit poisoning attacks in two-agent reinforcement learning: Adversarial policies for training-time attacks M Mohammadi, J Nöther, D Mandal, A Singla, G Radanovic arXiv preprint arXiv:2302.13851, 2023	8	2023
Feature-based individual fairness in k-clustering D Kar, M Kosan, D Mandal, S Medya, A Silva, P Dey, S Sanyal arXiv preprint arXiv:2109.04554, 2021	8	2021
Profit maximizing prior-free multi-unit procurement auctions with capacitated sellers A Ray, D Mandal, Y Narahari AAMAS'15, 2015	7	2015
Online reinforcement learning with uncertain episode lengths D Mandal, G Radanovic, J Gan, A Singla, R Majumdar Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 9064-9071, 2023	6	2023
Correlated voting D Mandal, DC Parkes IJCAI'16 Proceedings of the Twenty-Fifth International Joint Conference on …, 2016	6	2016
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences A Nika, D Mandal, P Kamalaruban, G Tzannetos, G Radanović, A Singla ICML 2024, 2024	5	2024

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