| Bayesian distributionally robust optimization A Shapiro, E Zhou, Y Lin SIAM Journal on Optimization 33 (2), 1279-1304, 2023 | 23 | 2023 |
| Bayesian stochastic gradient descent for stochastic optimization with streaming input data T Liu, Y Lin, E Zhou SIAM Journal on Optimization 34 (1), 389-418, 2024 | 12 | 2024 |
| Bayesian Risk Markov Decision Processes Y Lin, Y Ren, E Zhou Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 10 | 2022 |
| Group testing enables asymptomatic screening for covid-19 mitigation: feasibility and optimal pool size selection with dilution effects Y Lin, Y Ren, J Wan, M Cashore, J Wan, Y Zhang, P Frazier, E Zhou arXiv preprint arXiv:2008.06642, 2020 | 9 | 2020 |
| A Bayesian approach to online simulation optimization with streaming input data T Liu, Y Lin, E Zhou 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 7 | 2021 |
| Risk-averse contextual multi-armed bandit problem with linear payoffs Y Lin, Y Wang, E Zhou Journal of Systems Science and Systems Engineering 32 (3), 267-288, 2023 | 5 | 2023 |
| A nested simulation optimization approach for portfolio selection Y Lin, E Zhou, A Megahed 2020 Winter Simulation Conference (WSC), 3093-3104, 2020 | 2 | 2020 |
| Episodic Bayesian Optimal Control with Unknown Randomness Distributions A Shapiro, E Zhou, Y Lin, Y Wang arXiv preprint arXiv:2308.08478, 2023 | 1 | 2023 |
| Risk-aware model predictive control enabled by bayesian learning Y Li, Y Lin, E Zhou, F Zhang 2022 American Control Conference (ACC), 108-113, 2022 | 1 | 2022 |
| Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes Y Lin, E Zhou AAAI Conference on Artificial Intelligence (AAAI-25), 2025 | | 2025 |
| Liner Shipping Network Design with Reinforcement Learning U Dutta, Y Lin, ZL Jin AAAI 2025 PRL workshop & AI+ORMS bridge program, 2024 | | 2024 |
| Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate Y Lin, Y Wang, E Zhou arXiv preprint arXiv:2403.00675, 2024 | | 2024 |
| Reusing Historical Observations in Natural Policy Gradient Y Lin, E Zhou 2023 Winter Simulation Conference (WSC), 3071-3081, 2023 | | 2023 |
| Policy Gradient Optimization for Markov Decision Processes with Epistemic Uncertainty and General Loss Functions X Wang, Y Lin, E Zhou | | |
Enlu ZhouProfessor, School of Industrial and Systems Engineering, Georgia Institute of TechnologyDirección de correo verificada de isye.gatech.edu