关注
Yifan Lin
Yifan Lin
在 gatech.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Bayesian distributionally robust optimization
A Shapiro, E Zhou, Y Lin
SIAM Journal on Optimization 33 (2), 1279-1304, 2023
102023
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
82020
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
62021
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
52024
Bayesian Risk Markov Decision Processes
Y Lin, Y Ren, E Zhou
NeurIPS 2022, arXiv: 2106.02558, 2022
42022
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
32023
A nested simulation optimization approach for portfolio selection
Y Lin, E Zhou, A Megahed
2020 Winter Simulation Conference (WSC), 3093-3104, 2020
22020
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
12022
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
Episodic Bayesian Optimal Control with Unknown Randomness Distributions
A Shapiro, E Zhou, Y Lin, Y Wang
arXiv preprint arXiv:2308.08478, 2023
2023
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
Y Lin, E Zhou
arXiv preprint arXiv:2301.11415, 2023
2023
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