Debmalya Mandal
Debmalya Mandal
Postdoctoral Fellow
Verified email at columbia.edu - Homepage
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
442017
A truthful budget feasible multi-armed bandit mechanism for crowdsourcing time critical tasks
A Biswas, S Jain, D Mandal, Y Narahari
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
352015
Peer prediction with heterogeneous users
A Agarwal, D Mandal, DC Parkes, N Shah
Proceedings of the 2017 ACM Conference on Economics and Computation, 81-98, 2017
272017
Peer Prediction with Heterogeneous Tasks
D Mandal, M Leifer, DC Parkes, G Pickard, V Shnayder
arXiv preprint arXiv:1612.00928, 2016
152016
Efficient and thrifty voting by any means necessary
D Mandal, AD Procaccia, N Shah, D Woodruff
Advances in Neural Information Processing Systems, 7180-7191, 2019
142019
Novel mechanisms for online crowdsourcing with unreliable, strategic agents
P Chandra, Y Narahari, D Mandal, P Dey
Twenty-Ninth AAAI Conference on Artificial Intelligence, 1256-1262, 2015
112015
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
42020
Profit maximizing prior-free multi-unit procurement auctions with capacitated sellers
A Ray, D Mandal, Y Narahari
arXiv preprint arXiv:1504.01020, 2015
42015
A novel ex-post truthful mechanism for multi-slot sponsored search auctions
D Mandal, Y Narahari
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
42014
Correlated voting
D Mandal, DC Parkes
IJCAI'16 Proceedings of the Twenty-Fifth International Joint Conference on …, 2016
32016
A stackelberg game approach for incentivizing participation in online educational forums with heterogeneous student population
RD Vallam, P Bhatt, D Mandal, Y Narahari
Twenty-Ninth AAAI Conference on Artificial Intelligence, 1043-1049, 2015
22015
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
12020
Ensuring Fairness Beyond the Training Data
D Mandal, S Deng, S Jana, JM Wing, D Hsu
arXiv preprint arXiv:2007.06029, 2020
2020
The Effectiveness of Peer Prediction in Long-Term Forecasting
D Mandal, R Goran, DC Parkes
AAAI, 2160-2167, 2020
2020
Decision Making With Heterogeneous Agents: Elicitation, Aggregation, and Causal Effects
D Mandal
2019
Weighted Tensor Completion for Time-Series Causal Inference
D Mandal, D Parkes
arXiv preprint arXiv:1902.04646, 2019
2019
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Articles 1–16