| Estimate-then-optimize versus integrated-estimation-optimization: A stochastic dominance perspective AN Elmachtoub, H Lam, H Zhang, Y Zhao arXiv preprint arXiv:2304.06833 107, 2023 | 22 | 2023 |
| A decision-language model (dlm) for dynamic restless multi-armed bandit tasks in public health N Behari, E Zhang, Y Zhao, A Taneja, D Nagaraj, M Tambe arXiv preprint arXiv:2402.14807, 2024 | 12 | 2024 |
| Towards a pretrained model for restless bandits via multi-arm generalization Y Zhao, N Behari, E Hughes, E Zhang, D Nagaraj, K Tuyls, A Taneja, ... arXiv preprint arXiv:2310.14526, 2023 | 12 | 2023 |
| Estimate-then-optimize versus integrated-estimation-optimization versus sample average approximation: a stochastic dominance perspective AN Elmachtoub, H Lam, H Zhang, Y Zhao arXiv preprint arXiv:2304.06833, 2023 | 10 | 2023 |
| Balanced off-policy evaluation for personalized pricing A Elmachtoub, V Gupta, Y Zhao International Conference on Artificial Intelligence and Statistics, 10901-10917, 2023 | 9 | 2023 |
| Nuances in margin conditions determine gains in active learning S Kpotufe, G Yuan, Y Zhao International conference on artificial intelligence and statistics, 8112-8126, 2022 | 9 | 2022 |
| Group fairness in predict-then-optimize settings for restless bandits S Verma, Y Zhao, S Shah, N Boehmer, A Taneja, M Tambe The 40th Conference on Uncertainty in Artificial Intelligence, 2024 | 7 | 2024 |
| The bandit whisperer: Communication learning for restless bandits Y Zhao, T Wang, D Nagaraj, A Taneja, M Tambe arXiv preprint arXiv:2408.05686, 2024 | 5 | 2024 |
| Towards Zero Shot Learning in Restless Multi-armed Bandits Y Zhao, N Behari, E Hughes, E Zhang, D Nagaraj, K Tuyls, A Taneja, ... Proceedings of the 23rd International Conference on Autonomous Agents and …, 2023 | 5 | 2023 |
| Efficient graph field integrators meet point clouds KM Choromanski, A Sehanobish, H Lin, Y Zhao, E Berger, T Parshakova, ... International Conference on Machine Learning, 5978-6004, 2023 | 5 | 2023 |
| Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models R Seow, Y Zhao, D Wood, M Tambe, C Gonzalez Workshop on Health Recommender Systems co-located with ACM RecSys 2024, 2024 | 4 | 2024 |
| Scalable Neural Network Kernels A Sehanobish, K Choromanski, Y Zhao, A Dubey, V Likhosherstov The Twelfth International Conference on Learning Representations., 2023 | 4 | 2023 |
| Implicit Two-Tower Policies Y Zhao, Q Pan, K Choromanski, D Jain, V Sindhwani ICLR 2024 Practical ML for Low Resource Settings Workshop (PML4LRS), 2022 | 4 | 2022 |
| Efficient and non-efficient domination of Archimedean lattices TG Marge, Y Zhao, JC Wierman Congressus Numerantium 231, 39-61, 2018 | 3 | 2018 |
| Optimizing vital sign monitoring in resource-constrained maternal care: An rl-based restless bandit approach N Boehmer, Y Zhao, G Xiong, P Rodriguez-Diaz, PDC Cibrian, J Ngonzi, ... arXiv preprint arXiv:2410.08377, 2024 | 2 | 2024 |
| Perfect domination ratios of Archimedean lattices Y Zhao, JC Wierman, TG Marge The Electronic Journal of Combinatorics, P3. 60-P3. 60, 2022 | 2 | 2022 |
| Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Y Zhao, N Boehmer, A Taneja, M Tambe arXiv preprint arXiv:2412.07880, 2024 | 1 | 2024 |
| Regimes of No Gain in Multi-class Active Learning G Yuan, Y Zhao, S Kpotufe Journal of Machine Learning Research 25 (129), 1-31, 2024 | 1 | 2024 |
| Efficient and Perfect Domination on Archimedean Lattices Y Zhao Johns Hopkins University, 2018 | 1 | 2018 |
| Integrating Machine Learning and Optimization for Problems in Contextual Decision-Making and Dynamic Learning Y Zhao Columbia University, 2023 | | 2023 |
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchEmail được xác minh tại harvard.edu