| Dynamic learning and pricing with model misspecification M Nambiar, D Simchi-Levi, H Wang Management Science 65 (11), 4980-5000, 2019 | 98 | 2019 |
| Quantifying the benefits to consumers for demand response with a statistical elasticity model W Yang, R Yu, M Nambiar IET Generation, Transmission & Distribution 8 (3), 503-515, 2014 | 36 | 2014 |
| Dynamic inventory allocation with demand learning for seasonal goods M Nambiar, D Simchi‐Levi, H Wang Production and Operations Management 30 (3), 750-765, 2021 | 30 | 2021 |
| Fast system identification using prominent subspace LMS R Yu, Y Song, M Nambiar Digital Signal Processing 27, 44-56, 2014 | 14 | 2014 |
| Dynamic learning and price optimization with endogeneity effect M Nambiar, D Simchi-Levi, H Wang Operations Research Center, MIT, 2016 | 7 | 2016 |
| Deep offline reinforcement learning for real-world treatment optimization applications M Nambiar, S Ghosh, P Ong, YE Chan, YM Bee, P Krishnaswamy Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| An interpretable intensive care unit mortality risk calculator ETY Ang, M Nambiar, YS Soh, VYF Tan 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| An Artificial Intelligence Drug Mix and Dose Advisor Recommends Individualised Treatments for Type 2 Diabetes YM Bee, M Nambiar, YE Chan, I Ho Mien, F Guretno, D Carmody, PC Lee, ... Diabetes Technology & Therapeutics 26 (S2), 2024 | | 2024 |
| Data-driven pricing and inventory management with applications in fashion retail M Nambiar Massachusetts Institute of Technology, 2019 | | 2019 |
