Publications

2026

1. Preprint

   Local and Global Stability in Performative Reinforcement Learning

   Debmalya Mandal

   Reinforcement learning

   2026

   arXiv Bib

   @misc{mandal2026stability,
     title = {Local and Global Stability in Performative Reinforcement Learning},
     author = {Mandal, Debmalya},
     howpublished = {Working paper},
     year = {2026},
   }

2. NeurIPS

   Distributionally-Robust Policy Learning with Observational Data

   Debmalya Mandal

   Reinforcement learning · Fairness and causality · Robustness

   In Advances in Neural Information Processing Systems (NeurIPS), 2026

   Bib

   @inproceedings{mandal2026drpolicy,
     title = {Distributionally-Robust Policy Learning with Observational Data},
     author = {Mandal, Debmalya},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2026},
   }

3. NeurIPS

   Subprocess-Constrained Markov Decision Processes

   Jiarui Gan and Debmalya Mandal

   Reinforcement learning

   In Advances in Neural Information Processing Systems (NeurIPS), 2026

   Bib

   @inproceedings{gan2026subprocess,
     title = {Subprocess-Constrained Markov Decision Processes},
     author = {Gan, Jiarui and Mandal, Debmalya},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2026},
   }

4. NeurIPS

   Inference-Time Nash Alignment

   Hadi Hosseini, Debmalya Mandal, and Duohan Zhang

   Human feedback · Social choice

   In Advances in Neural Information Processing Systems (NeurIPS), 2026

   arXiv Bib

   @inproceedings{hosseini2026nash,
     title = {Inference-Time Nash Alignment},
     author = {Hosseini, Hadi and Mandal, Debmalya and Zhang, Duohan},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2026},
   }

5. NeurIPS

   Meta-Learning Preferences for Multilingual LLM Alignment

   Jiaying Lin, Seongho Son, Nam Tran, Long Tran-Thanh, Ilija Bogunovic, and Debmalya Mandal

   Human feedback

   In Advances in Neural Information Processing Systems (NeurIPS), 2026

   arXiv Bib

   @inproceedings{lin2026multilingual,
     title = {Meta-Learning Preferences for Multilingual {LLM} Alignment},
     author = {Lin, Jiaying and Son, Seongho and Tran, Nam and Tran-Thanh, Long and Bogunovic, Ilija and Mandal, Debmalya},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2026},
   }

6. NeurIPS

   GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs

   Peyman Bagershahi, Fangxin Wang, Sourav Medya, and Debmalya Mandal

   In Advances in Neural Information Processing Systems (NeurIPS), 2026

   arXiv Bib

   @inproceedings{bagershahi2026graphlcp,
     title = {{GRAPHLCP}: Structure-Aware Localized Conformal Prediction on Graphs},
     author = {Bagershahi, Peyman and Wang, Fangxin and Medya, Sourav and Mandal, Debmalya},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2026},
   }

7. ICML

   Distributionally Robust Reinforcement Learning with Human Feedback

   Debmalya Mandal, Paulius Sasnauskas, and Goran Radanovic

   Human feedback · Reinforcement learning · Robustness

   In Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026

   arXiv Bib Code

   @inproceedings{mandal2026drrlhf,
     title = {Distributionally Robust Reinforcement Learning with Human Feedback},
     author = {Mandal, Debmalya and Sasnauskas, Paulius and Radanovic, Goran},
     booktitle = {Proceedings of the 43rd International Conference on Machine Learning (ICML)},
     year = {2026},
   }

8. JAIR

   Surprisingly Popular Voting Recovers Rankings, Surprisingly!

   Hadi Hosseini, Debmalya Mandal, Nisarg Shah, and Kevin Shi

   Social choice

   Journal of Artificial Intelligence Research (JAIR). Supersedes the IJCAI 2021 version (PDF) , 2026

   Bib HTML Code Website

   @article{hosseini2026spvoting,
     title = {Surprisingly Popular Voting Recovers Rankings, Surprisingly!},
     author = {Hosseini, Hadi and Mandal, Debmalya and Shah, Nisarg and Shi, Kevin},
     journal = {Journal of Artificial Intelligence Research (JAIR)},
     year = {2026},
   }

9. ICLR

   BRIDGE: Bi-level Reinforcement Learning for Dynamic Group Structure in Coalition Formation Games

   Shuqing Shi, Nam Tran, Hao Liang, Debmalya Mandal, Long Tran-Thanh, and Yali Du

   Reinforcement learning · Game theory

   In The 14th International Conference on Learning Representations (ICLR), 2026

   Bib HTML

   @inproceedings{shi2026bridge,
     title = {{BRIDGE}: Bi-level Reinforcement Learning for Dynamic Group Structure in Coalition Formation Games},
     author = {Shi, Shuqing and Tran, Nam and Liang, Hao and Mandal, Debmalya and Tran-Thanh, Long and Du, Yali},
     booktitle = {The 14th International Conference on Learning Representations (ICLR)},
     year = {2026},
   }

10. AISTATS

    Corruption-robust Offline Multi-agent Reinforcement Learning from Human Feedback

    Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, and Goran Radanovic

    Human feedback · Reinforcement learning · Robustness

    In Proceedings of the 29th International Conference on Artificial Intelligence and Statistics (AISTATS), 2026

    arXiv Bib

    @inproceedings{nika2026marlhf,
      title = {Corruption-robust Offline Multi-agent Reinforcement Learning from Human Feedback},
      author = {Nika, Andi and Mandal, Debmalya and Kamalaruban, Parameswaran and Singla, Adish and Radanovic, Goran},
      booktitle = {Proceedings of the 29th International Conference on Artificial Intelligence and Statistics (AISTATS)},
      year = {2026},
    }

11. AISTATS

    Sparse Offline Reinforcement Learning with Corruption Robustness

    Nam Tran, Andi Nika, Goran Radanovic, Long Tran-Thanh, and Debmalya Mandal

    Reinforcement learning · Robustness

    In Proceedings of the 29th International Conference on Artificial Intelligence and Statistics (AISTATS), 2026

    arXiv Bib

    @inproceedings{tran2026sparse,
      title = {Sparse Offline Reinforcement Learning with Corruption Robustness},
      author = {Tran, Nam and Nika, Andi and Radanovic, Goran and Tran-Thanh, Long and Mandal, Debmalya},
      booktitle = {Proceedings of the 29th International Conference on Artificial Intelligence and Statistics (AISTATS)},
      year = {2026},
    }

12. KDD

    SP-Rank: A Dataset for Ranked Preferences with Secondary Information

    Hadi Hosseini, Debmalya Mandal, and Amrit Puhan

    Social choice

    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Datasets and Benchmarks Track, 2026

    arXiv Bib Code

    @inproceedings{hosseini2026sprank,
      title = {{SP-Rank}: A Dataset for Ranked Preferences with Secondary Information},
      author = {Hosseini, Hadi and Mandal, Debmalya and Puhan, Amrit},
      booktitle = {Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Datasets and Benchmarks Track},
      year = {2026},
    }

2025

1. NeurIPS

   Strategyproof Reinforcement Learning from Human Feedback

   Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal, and Marta Kwiatkowska

   Human feedback · Game theory

   In Advances in Neural Information Processing Systems (NeurIPS), 2025

   arXiv Bib

   @inproceedings{kleinebuening2025strategyproof,
     title = {Strategyproof Reinforcement Learning from Human Feedback},
     author = {Kleine Buening, Thomas and Gan, Jiarui and Mandal, Debmalya and Kwiatkowska, Marta},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2025},
   }

2. NeurIPS

   Stochastic Principal-Agent Problems: Efficient Computation and Learning

   Jiarui Gan, Rupak Majumdar, Debmalya Mandal, and Goran Radanovic

   Game theory · Reinforcement learning

   In Advances in Neural Information Processing Systems (NeurIPS). Extended abstract at AAMAS 2024 , 2025

   arXiv Bib

   @inproceedings{gan2025principalagent,
     title = {Stochastic Principal-Agent Problems: Efficient Computation and Learning},
     author = {Gan, Jiarui and Majumdar, Rupak and Mandal, Debmalya and Radanovic, Goran},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2025},
   }

3. AISTATS

   Corruption Robust Reinforcement Learning with Human Feedback

   Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, and Goran Radanovic

   Human feedback · Reinforcement learning · Robustness

   In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025

   Oral arXiv Bib

   Oral presentation (top 2% of accepted papers).

   @inproceedings{mandal2025crrlhf,
     title = {Corruption Robust Reinforcement Learning with Human Feedback},
     author = {Mandal, Debmalya and Nika, Andi and Kamalaruban, Parameswaran and Singla, Adish and Radanovic, Goran},
     booktitle = {Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS)},
     year = {2025},
   }

4. AISTATS

   Performative Reinforcement Learning with Linear Markov Decision Process

   Debmalya Mandal and Goran Radanovic

   Reinforcement learning

   In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025

   arXiv Bib

   @inproceedings{mandal2025linearperformative,
     title = {Performative Reinforcement Learning with Linear Markov Decision Process},
     author = {Mandal, Debmalya and Radanovic, Goran},
     booktitle = {Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS)},
     year = {2025},
   }

5. AISTATS

   Policy Teaching via Data Poisoning in Learning from Human Preferences

   Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, and Goran Radanovic

   Human feedback · Robustness

   In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025

   arXiv Bib

   @inproceedings{nika2025policyteaching,
     title = {Policy Teaching via Data Poisoning in Learning from Human Preferences},
     author = {Nika, Andi and N{\"o}ther, Jonathan and Mandal, Debmalya and Kamalaruban, Parameswaran and Singla, Adish and Radanovic, Goran},
     booktitle = {Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS)},
     year = {2025},
   }

6. AISTATS

   Independent Learning in Performative Markov Potential Games

   Rilind Sahitaj, Paulius Sasnauskas, Yigit Yalin, Debmalya Mandal, and Goran Radanovic

   Reinforcement learning · Game theory

   In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025

   Bib

   @inproceedings{sahitaj2025potentialgames,
     title = {Independent Learning in Performative Markov Potential Games},
     author = {Sahitaj, Rilind and Sasnauskas, Paulius and Yalin, Yigit and Mandal, Debmalya and Radanovic, Goran},
     booktitle = {Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS)},
     year = {2025},
   }

7. WWW

   On Surprisingly Popular Voting for Concentric Rank-Order Models

   Hadi Hosseini, Debmalya Mandal, and Amrit Puhan

   Social choice

   In Proceedings of the ACM Web Conference (WWW), 2025

   arXiv Bib

   @inproceedings{hosseini2025concentric,
     title = {On Surprisingly Popular Voting for Concentric Rank-Order Models},
     author = {Hosseini, Hadi and Mandal, Debmalya and Puhan, Amrit},
     booktitle = {Proceedings of the ACM Web Conference (WWW)},
     year = {2025},
   }

8. AAAI

   On Corruption-Robustness in Performative Reinforcement Learning

   Vasilis Pollatos, Debmalya Mandal, and Goran Radanovic

   Reinforcement learning · Robustness

   In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI), 2025

   Oral Bib HTML

   Oral presentation.

   @inproceedings{pollatos2025corruption,
     title = {On Corruption-Robustness in Performative Reinforcement Learning},
     author = {Pollatos, Vasilis and Mandal, Debmalya and Radanovic, Goran},
     booktitle = {Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2025},
   }

2024

1. NeurIPS

   The Effectiveness of Surprisingly Popular Voting with Partial Preferences

   Hadi Hosseini, Debmalya Mandal, and Amrit Puhan

   Social choice

   In Advances in Neural Information Processing Systems (NeurIPS), 2024

   arXiv Bib

   @inproceedings{hosseini2024partial,
     title = {The Effectiveness of Surprisingly Popular Voting with Partial Preferences},
     author = {Hosseini, Hadi and Mandal, Debmalya and Puhan, Amrit},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2024},
   }

2. NeurIPS

   Symmetric Linear Bandits with Hidden Symmetry

   Nam Tran, The-Anh Ta, Debmalya Mandal, and Long Tran-Thanh

   In Advances in Neural Information Processing Systems (NeurIPS), 2024

   arXiv Bib

   @inproceedings{tran2024symmetric,
     title = {Symmetric Linear Bandits with Hidden Symmetry},
     author = {Tran, Nam and Ta, The-Anh and Mandal, Debmalya and Tran-Thanh, Long},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2024},
   }

3. NeurIPS

   Learning the Expected Core of Strictly Convex Stochastic Cooperative Games

   Nam Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Long Tran-Thanh, and Yali Du

   Game theory

   In Advances in Neural Information Processing Systems (NeurIPS), 2024

   arXiv Bib

   @inproceedings{tran2024core,
     title = {Learning the Expected Core of Strictly Convex Stochastic Cooperative Games},
     author = {Tran, Nam and Ta, The-Anh and Shi, Shuqing and Mandal, Debmalya and Tran-Thanh, Long and Du, Yali},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2024},
   }

4. ICML

   Agent Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs

   Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, and Goran Radanovic

   Fairness and causality · Reinforcement learning

   In Proceedings of the 41st International Conference on Machine Learning (ICML), 2024

   arXiv Bib

   @inproceedings{triantafyllou2024agentspecific,
     title = {Agent Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent {MDPs}},
     author = {Triantafyllou, Stelios and Sukovic, Aleksa and Mandal, Debmalya and Radanovic, Goran},
     booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
     year = {2024},
   }

5. ICML

   Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences

   Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, George Tzannetos, Goran Radanovic, and Adish Singla

   Human feedback

   In Proceedings of the 41st International Conference on Machine Learning (ICML), 2024

   arXiv Bib

   @inproceedings{nika2024rewardvsdpo,
     title = {Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences},
     author = {Nika, Andi and Mandal, Debmalya and Kamalaruban, Parameswaran and Tzannetos, George and Radanovic, Goran and Singla, Adish},
     booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
     year = {2024},
   }

6. UAI

   Performative Reinforcement Learning in Gradually Shifting Environments

   Ben Rank, Stelios Triantafyllou, Debmalya Mandal, and Goran Radanovic

   Reinforcement learning

   In Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI), 2024

   arXiv Bib

   @inproceedings{rank2024gradual,
     title = {Performative Reinforcement Learning in Gradually Shifting Environments},
     author = {Rank, Ben and Triantafyllou, Stelios and Mandal, Debmalya and Radanovic, Goran},
     booktitle = {Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI)},
     year = {2024},
   }

7. AISTATS

   Corruption-Robust Offline Two-Player Zero-Sum Markov Games

   Andi Nika, Debmalya Mandal, Adish Singla, and Goran Radanovic

   Reinforcement learning · Game theory · Robustness

   In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024

   arXiv Bib

   @inproceedings{nika2024zerosum,
     title = {Corruption-Robust Offline Two-Player Zero-Sum {Markov} Games},
     author = {Nika, Andi and Mandal, Debmalya and Singla, Adish and Radanovic, Goran},
     booktitle = {Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS)},
     year = {2024},
   }

2023

1. ICML

   Performative Reinforcement Learning

   Debmalya Mandal, Stelios Triantafyllou, and Goran Radanovic

   Reinforcement learning

   In Proceedings of the 40th International Conference on Machine Learning (ICML), 2023

   arXiv Bib

   @inproceedings{mandal2023performative,
     title = {Performative Reinforcement Learning},
     author = {Mandal, Debmalya and Triantafyllou, Stelios and Radanovic, Goran},
     booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML)},
     year = {2023},
   }

2. AAMAS

   Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks

   Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, and Goran Radanovic

   Reinforcement learning · Robustness

   In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023

   arXiv Bib

   @inproceedings{mohammadi2023implicit,
     title = {Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks},
     author = {Mohammadi, Mohammad and N{\"o}ther, Jonathan and Mandal, Debmalya and Singla, Adish and Radanovic, Goran},
     booktitle = {Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
     year = {2023},
   }

3. AAMAS

   Representation-Based Individual Fairness in k-Clustering

   Debjyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, and Swagato Sanyal

   Fairness and causality

   In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Extended abstract , 2023

   arXiv Bib

   @inproceedings{kar2023clustering,
     title = {Representation-Based Individual Fairness in k-Clustering},
     author = {Kar, Debjyoti and Kosan, Mert and Mandal, Debmalya and Medya, Sourav and Silva, Arlei and Dey, Palash and Sanyal, Swagato},
     booktitle = {Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
     year = {2023},
   }

4. AAAI

   Online Reinforcement Learning with Uncertain Episode Lengths

   Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, and Rupak Majumdar

   Reinforcement learning

   In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023

   Oral arXiv Bib

   Oral presentation.

   @inproceedings{mandal2023episodelengths,
     title = {Online Reinforcement Learning with Uncertain Episode Lengths},
     author = {Mandal, Debmalya and Radanovic, Goran and Gan, Jiarui and Singla, Adish and Majumdar, Rupak},
     booktitle = {Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2023},
   }

5. AAAI

   Markov Decision Processes with Time-Varying Geometric Discounting

   Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, and Goran Radanovic

   Reinforcement learning

   In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023

   Oral Bib PDF

   Oral presentation.

   @inproceedings{gan2023discounting,
     title = {{Markov} Decision Processes with Time-Varying Geometric Discounting},
     author = {Gan, Jiarui and Hennes, Annika and Majumdar, Rupak and Mandal, Debmalya and Radanovic, Goran},
     booktitle = {Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2023},
   }

2022

1. Preprint

   Socially Fair Reinforcement Learning

   Debmalya Mandal and Jiarui Gan

   Fairness and causality · Reinforcement learning

   2022

   arXiv Bib

   @misc{mandal2022sociallyfair,
     title = {Socially Fair Reinforcement Learning},
     author = {Mandal, Debmalya and Gan, Jiarui},
     howpublished = {Working paper},
     year = {2022},
   }

2. AISTATS

   Learning Tensor Representations for Meta-Learning

   Samuel Deng, Yilin Guo, Daniel Hsu, and Debmalya Mandal

   In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022

   Bib PDF

   @inproceedings{deng2022tensor,
     title = {Learning Tensor Representations for Meta-Learning},
     author = {Deng, Samuel and Guo, Yilin and Hsu, Daniel and Mandal, Debmalya},
     booktitle = {Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS)},
     year = {2022},
   }

3. AAAI

   Sequential Blocked Matching

   Nick Bishop, Hau Chan, Debmalya Mandal, and Long Tran-Thanh

   Game theory

   In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022

   Bib PDF

   @inproceedings{bishop2022blockedmatching,
     title = {Sequential Blocked Matching},
     author = {Bishop, Nick and Chan, Hau and Mandal, Debmalya and Tran-Thanh, Long},
     booktitle = {Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2022},
   }

2021

1. SIGKDD Expl.

   Meta-Learning with Graph Neural Networks: Methods and Applications

   Debmalya Mandal, Sourav Medya, Brian Uzzi, and Charu Aggarwal

   ACM SIGKDD Explorations Newsletter, 2021

   Bib PDF

   @article{mandal2021gnnmeta,
     title = {Meta-Learning with Graph Neural Networks: Methods and Applications},
     author = {Mandal, Debmalya and Medya, Sourav and Uzzi, Brian and Aggarwal, Charu},
     journal = {ACM SIGKDD Explorations Newsletter},
     year = {2021},
   }

2020

1. NeurIPS

   Ensuring Fairness Beyond the Training Data

   Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, and Daniel Hsu

   Fairness and causality · Robustness

   In Advances in Neural Information Processing Systems (NeurIPS), 2020

   Bib PDF Code

   @inproceedings{mandal2020fairness,
     title = {Ensuring Fairness Beyond the Training Data},
     author = {Mandal, Debmalya and Deng, Samuel and Jana, Suman and Wing, Jeannette M. and Hsu, Daniel},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2020},
   }

2. NeurIPS

   Adversarial Blocking Bandits

   Nick Bishop, Hau Chan, Debmalya Mandal, and Long Tran-Thanh

   In Advances in Neural Information Processing Systems (NeurIPS), 2020

   Bib PDF

   @inproceedings{bishop2020blockingbandits,
     title = {Adversarial Blocking Bandits},
     author = {Bishop, Nick and Chan, Hau and Mandal, Debmalya and Tran-Thanh, Long},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2020},
   }

3. TEAC

   Peer Prediction with Heterogeneous Users

   Arpit Agarwal, Debmalya Mandal, David C. Parkes, and Nisarg Shah

   Social choice · Game theory

   ACM Transactions on Economics and Computation (TEAC). Supersedes the EC 2017 version (PDF), which was invited to the special issue of selected papers from EC 2017 , 2020

   Bib PDF

   @article{agarwal2020peerprediction,
     title = {Peer Prediction with Heterogeneous Users},
     author = {Agarwal, Arpit and Mandal, Debmalya and Parkes, David C. and Shah, Nisarg},
     journal = {ACM Transactions on Economics and Computation (TEAC)},
     year = {2020},
   }

4. EC

   Optimal Communication-Distortion Tradeoff in Voting

   Debmalya Mandal, Nisarg Shah, and David P. Woodruff

   Social choice

   In Proceedings of the 21st ACM Conference on Economics and Computation (EC), 2020

   Bib PDF Supp

   @inproceedings{mandal2020distortion,
     title = {Optimal Communication-Distortion Tradeoff in Voting},
     author = {Mandal, Debmalya and Shah, Nisarg and Woodruff, David P.},
     booktitle = {Proceedings of the 21st ACM Conference on Economics and Computation (EC)},
     year = {2020},
   }

5. AAAI

   The Effectiveness of Peer Prediction in Long-Term Forecasting

   Debmalya Mandal, Goran Radanovic, and David C. Parkes

   Social choice

   In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020

   Spotlight Bib PDF Code

   Spotlight presentation.

   @inproceedings{mandal2020forecasting,
     title = {The Effectiveness of Peer Prediction in Long-Term Forecasting},
     author = {Mandal, Debmalya and Radanovic, Goran and Parkes, David C.},
     booktitle = {Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2020},
   }

2019

1. NeurIPS

   Efficient and Thrifty Voting by Any Means Necessary

   Debmalya Mandal, Ariel D. Procaccia, Nisarg Shah, and David P. Woodruff

   Social choice

   In Advances in Neural Information Processing Systems (NeurIPS), 2019

   Oral Bib PDF Slides

   Oral presentation (one of 36 out of 1428 accepted papers).

   @inproceedings{mandal2019thrifty,
     title = {Efficient and Thrifty Voting by Any Means Necessary},
     author = {Mandal, Debmalya and Procaccia, Ariel D. and Shah, Nisarg and Woodruff, David P.},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2019},
   }

2018

1. Workshop

   Weighted Tensor Completion for Time-Series Causal Inference

   Debmalya Mandal and David C. Parkes

   Fairness and causality

   In NeurIPS Workshop on Causal Learning (CausalML), 2018

   Bib PDF

   @inproceedings{mandal2018tensorcausal,
     title = {Weighted Tensor Completion for Time-Series Causal Inference},
     author = {Mandal, Debmalya and Parkes, David C.},
     booktitle = {NeurIPS Workshop on Causal Learning (CausalML)},
     year = {2018},
   }

2017

1. Workshop

   Calibrated Fairness in Bandits

   Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, and David C. Parkes

   Fairness and causality

   In Fourth Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML), 2017

   Bib PDF

   @inproceedings{liu2017calibrated,
     title = {Calibrated Fairness in Bandits},
     author = {Liu, Yang and Radanovic, Goran and Dimitrakakis, Christos and Mandal, Debmalya and Parkes, David C.},
     booktitle = {Fourth Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML)},
     year = {2017},
   }

2016

1. Workshop

   Peer Prediction with Heterogeneous Tasks

   Debmalya Mandal, Matthew Leifer, David C. Parkes, Galen Pickard, and Victor Shnayder

   Social choice

   In NIPS Workshop on Crowdsourcing and Machine Learning (CrowdML), 2016

   Bib PDF

   @inproceedings{mandal2016heterogeneoustasks,
     title = {Peer Prediction with Heterogeneous Tasks},
     author = {Mandal, Debmalya and Leifer, Matthew and Parkes, David C. and Pickard, Galen and Shnayder, Victor},
     booktitle = {NIPS Workshop on Crowdsourcing and Machine Learning (CrowdML)},
     year = {2016},
   }

2. IJCAI

   Correlated Voting

   Debmalya Mandal and David C. Parkes

   Social choice

   In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016

   Bib PDF

   @inproceedings{mandal2016correlated,
     title = {Correlated Voting},
     author = {Mandal, Debmalya and Parkes, David C.},
     booktitle = {Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI)},
     year = {2016},
   }

2015

1. AAAI

   A Stackelberg Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population

   Rohith D. Vallam, Priyanka Bhatt, Debmalya Mandal, and Yadati Narahari

   Game theory

   In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015

   Bib PDF

   @inproceedings{vallam2015stackelberg,
     title = {A {Stackelberg} Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population},
     author = {Vallam, Rohith D. and Bhatt, Priyanka and Mandal, Debmalya and Narahari, Yadati},
     booktitle = {Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2015},
   }

2. AAAI

   Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents

   Praphul Chandra, Yadati Narahari, Debmalya Mandal, and Prasenjit Dey

   Game theory

   In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015

   Bib PDF

   @inproceedings{chandra2015crowdsourcing,
     title = {Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents},
     author = {Chandra, Praphul and Narahari, Yadati and Mandal, Debmalya and Dey, Prasenjit},
     booktitle = {Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2015},
   }

3. AAMAS

   A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks

   Arpita Biswas, Shweta Jain, Debmalya Mandal, and Yadati Narahari

   Game theory

   In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015

   Bib PDF

   @inproceedings{biswas2015budgetfeasible,
     title = {A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks},
     author = {Biswas, Arpita and Jain, Shweta and Mandal, Debmalya and Narahari, Yadati},
     booktitle = {Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
     year = {2015},
   }

4. AAMAS

   Profit Maximizing Prior-free Multi-unit Procurement Auctions with Capacitated Sellers

   Arupratan Ray, Debmalya Mandal, and Yadati Narahari

   Game theory

   In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Extended abstract , 2015

   Bib PDF

   @inproceedings{ray2015procurement,
     title = {Profit Maximizing Prior-free Multi-unit Procurement Auctions with Capacitated Sellers},
     author = {Ray, Arupratan and Mandal, Debmalya and Narahari, Yadati},
     booktitle = {Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
     year = {2015},
   }

2014

1. AAMAS

   A Novel Ex-Post Truthful Mechanism for Multi-Slot Sponsored Search Auctions

   Debmalya Mandal and Yadati Narahari

   Game theory

   In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Extended abstract , 2014

   Bib PDF

   @inproceedings{mandal2014sponsoredsearch,
     title = {A Novel Ex-Post Truthful Mechanism for Multi-Slot Sponsored Search Auctions},
     author = {Mandal, Debmalya and Narahari, Yadati},
     booktitle = {Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
     year = {2014},
   }