Debmalya Mandal

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Goran RadanovićResearch Group Leader, Max Planck Institute for Software SystemsZweryfikowany adres z mpi-sws.org
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityZweryfikowany adres z eecs.harvard.edu
y. narahariProfessor of Computer Science, Indian Institute of Science, BangaloreZweryfikowany adres z iisc.ac.in
Nisarg ShahAssociate Professor, University of TorontoZweryfikowany adres z cs.toronto.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Adish SinglaTenured Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyZweryfikowany adres z mpi-sws.org
Long Tran-ThanhProfessor in Computer Science, University of WarwickZweryfikowany adres z warwick.ac.uk
Jiarui GanUniversity of OxfordZweryfikowany adres z cs.ox.ac.uk
Daniel HsuColumbia UniversityZweryfikowany adres z cs.columbia.edu
Samuel DengPhD Student, Columbia UniversityZweryfikowany adres z cs.columbia.edu
Yang LiuComputer Science and Engineering, UC Santa CruzZweryfikowany adres z ucsc.edu
Christos DimitrakakisProfessor, University of NeuchatelZweryfikowany adres z alumni.epfl.ch
Sourav MedyaUniversity of Illinois Chicago (UIC)Zweryfikowany adres z uic.edu
Arpita BiswasAssitant Professor, Rutgers University, NJ, USAZweryfikowany adres z cs.rutgers.edu
Arpit AgarwalAssistant Professor, IIT BombayZweryfikowany adres z iitb.ac.in
Suman JanaAssociate Professor of Computer Science, Columbia UniversityZweryfikowany adres z cs.columbia.edu
Jeannette M WingExecutive Vice President for Research, Professor of Computer Science, Columbia UniversityZweryfikowany adres z columbia.edu
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityZweryfikowany adres z seas.harvard.edu
Brian UzziProfessor, Northwestern UniversityZweryfikowany adres z northwestern.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterZweryfikowany adres z us.ibm.com

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Debmalya Mandal

Assistant Professor, University of Warwick

Zweryfikowany adres z warwick.ac.uk - Strona główna

Computational Social Choice Algorithmic Fairness Reinforcement Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Calibrated fairness in bandits Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes Fairness, Accountability, and Transparency in Machine Learning, 2017	130	2017
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	66	2015
Ensuring Fairness Beyond the Training Data D Mandal, S Deng, S Jana, JM Wing, D Hsu Advances in Neural Information Processing Systems 33, 2020	62	2020
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	55	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	48	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	40	2022
Peer Prediction with Heterogeneous Tasks D Mandal, M Leifer, DC Parkes, G Pickard, V Shnayder arXiv preprint arXiv:1612.00928, 2016	18	2016
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
Socially fair reinforcement learning D Mandal, J Gan arXiv preprint arXiv:2208.12584, 2022	14	2022
Surprisingly Popular Voting Recovers Rankings, Surprisingly! H Hosseini, D Mandal, N Shah, K Shi IJCAI’21, 2021	14	2021
Performative reinforcement learning D Mandal, S Triantafyllou, G Radanovic International Conference on Machine Learning, 23642-23680, 2023	13	2023
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	9	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	7	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	7	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
A novel ex-post truthful mechanism for multi-slot sponsored search auctions D Mandal, Y Narahari AAMAS'14 Proceedings of the 2014 international conference on Autonomous …, 2014	5	2014

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