Debmalya Mandal
Debmalya Mandal
Assistant Professor, University of Warwick
Verified email at - Homepage
Cited by
Cited by
Calibrated fairness in bandits
Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes
Fairness, Accountability, and Transparency in Machine Learning, 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
Ensuring Fairness Beyond the Training Data
D Mandal, S Deng, S Jana, JM Wing, D Hsu
Advances in Neural Information Processing Systems 33, 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
Efficient and thrifty voting by any means necessary
D Mandal, AD Procaccia, N Shah, D Woodruff
Advances in Neural Information Processing Systems 32, 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
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
Peer Prediction with Heterogeneous Tasks
D Mandal, M Leifer, DC Parkes, G Pickard, V Shnayder
arXiv preprint arXiv:1612.00928, 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
Adversarial blocking bandits
N Bishop, H Chan, D Mandal, L Tran-Thanh
Advances in Neural Information Processing Systems 33, 2020
Surprisingly Popular Voting Recovers Rankings, Surprisingly!
H Hosseini, D Mandal, N Shah, K Shi
IJCAI’21, 2021
Socially fair reinforcement learning
D Mandal, J Gan
arXiv preprint arXiv:2208.12584, 2022
Performative reinforcement learning
D Mandal, S Triantafyllou, G Radanovic
International Conference on Machine Learning, 23642-23680, 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
Profit maximizing prior-free multi-unit procurement auctions with capacitated sellers
A Ray, D Mandal, Y Narahari
AAMAS'15, 2015
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
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
Correlated voting
D Mandal, DC Parkes
IJCAI'16 Proceedings of the Twenty-Fifth International Joint Conference on …, 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
Learning tensor representations for meta-learning
S Deng, Y Guo, D Hsu, D Mandal
International Conference on Artificial Intelligence and Statistics, 11550-11580, 2022
The system can't perform the operation now. Try again later.
Articles 1–20