| Deploying paws: Field optimization of the protection assistant for wildlife security F Fang, T Nguyen, R Pickles, W Lam, G Clements, B An, A Singh, ... Proceedings of the AAAI Conference on Artificial Intelligence 30 (2), 3966-3973, 2016 | 171 | 2016 |
| PAWS—A deployed game-theoretic application to combat poaching F Fang, TH Nguyen, R Pickles, WY Lam, GR Clements, B An, A Singh, ... AI Magazine 38 (1), 23-36, 2017 | 72 | 2017 |
| When to be agile: Ratings and version updates in mobile apps G Allon, G Askalidis, R Berry, N Immorlica, K Moon, A Singh Management Science 68 (6), 4261-4278, 2022 | 27 | 2022 |
| Causal gradient boosting: Boosted instrumental variable regression E Bakhitov, A Singh Proceedings of the 23rd ACM Conference on Economics and Computation, 604-605, 2022 | 14 | 2022 |
| Machine learning instrument variables for causal inference A Singh, K Hosanagar, A Gandhi Proceedings of the 21st ACM Conference on Economics and Computation, 835-836, 2020 | 13 | 2020 |
| Deploying PAWS to combat poaching: game-theoretic patrolling in areas with complex terrain F Fang, T Nguyen, R Pickles, W Lam, G Clements, B An, A Singh, ... Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 12 | 2016 |
| Fulfillment by platform: Antitrust and upstream market power A Singh, J Zhang, SK Veeraraghavan Proceedings of the 22nd ACM Conference on Economics and Computation, July …, 2021 | 8 | 2021 |
| Can LLMs Capture Intertemporal Preferences? A Goli, A Singh arXiv preprint arXiv:2305.02531, 2023 | 7* | 2023 |
| The characterization of the toll of caring for coronavirus disease 2019 on ICU nursing staff K Laudanski, K Moon, A Singh, Y Chen, M Restrepo Critical Care Explorations 3 (4), e0380, 2021 | 7 | 2021 |
| Protecting the nectar of the ganga river through game-theoretic factory inspections B Ford, M Brown, A Yadav, A Singh, A Sinha, B Srivastava, C Kiekintveld, ... Advances in Practical Applications of Scalable Multi-agent Systems. The …, 2016 | 6 | 2016 |
| Causal bandits: Online decision-making in endogenous settings J Zhang, Y Chen, A Singh NeurIPS 2022 Workshop CML4Impact, 2022 | 4 | 2022 |
| Network Externalities and App Store Fees in Mobile Platforms A Singh, K Hosanagar, A Nevo Available at SSRN, 2021 | 4* | 2021 |
| Choice models and permutation invariance A Singh, Y Liu, H Yoganarasimhan arXiv preprint arXiv:2307.07090, 2023 | 1 | 2023 |
| Causal Regressions For Unstructured Data A Singh, B Zheng Causal Representation Learning Workshop at NeurIPS 2023, 2023 | | 2023 |
| Enforcing Environmental Compliance through Strategically Randomized Factory Inspections B Ford, M Brown, A Yadav, A Singh, A Sinha, B Srivastava, C Kiekintveld, ... Artificial Intelligence and Conservation, 136, 2019 | | 2019 |
| NECTAR: Game-Theoretic Factory Inspection Scheduling and Explanation for Toxic Wastewater Abatement B Ford, A Yadav, A Singh, M Brown, A Sinha, B Srivastava, C Kiekintveld, ... | | 2016 |
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchVerified email at harvard.edu
