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Author search results
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- Peter W. Glynn
Stanford University, USA - Peter Glynne-Jones
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Publication search results
found 259 matches
- 2024
- Alex Infanger
, Peter W. Glynn
:
A posteriori error bounds for truncated Markov chain linear systems arising from first transition analysis. Oper. Res. Lett. 54: 107106 (2024) - Ziwei Su
, Raghu Pasupathy
, Yingchieh Yeh
, Peter W. Glynn
:
Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation. ACM Trans. Model. Comput. Simul. 34(2): 10:1-10:43 (2024) - Tiffany Glynn, Simran Khanna, Mohammad Adrian Hasdianda, Jeremiah Tom, Krishna Venkatasubramanian, Arlen Dumas, Conall O'Cleirigh, Charlotte E. Goldfine, Peter R. Chai:
Informing Acceptability and Feasibility of Digital Phenotyping for Personalized HIV Prevention among Marginalized Populations Presenting to the Emergency Department. HICSS 2024: 3192-3200 - Saied Mahdian, Peter W. Glynn, Yuanyuan Liu:
A Numerical Truncation Approximation with A Posteriori Error Bounds for the Solution of Poisson's Equation. CoRR abs/2401.15905 (2024) - Guanyang Wang, Jose H. Blanchet, Peter W. Glynn:
When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones? CoRR abs/2404.01431 (2024) - Yanlin Qu, Jose H. Blanchet, Peter W. Glynn:
Deep Learning for Computing Convergence Rates of Markov Chains. CoRR abs/2405.20435 (2024) - 2023
- Eunji Lim
, Peter W. Glynn
:
Simulation-Based Prediction. Oper. Res. 71(1): 47-60 (2023) - Victor F. Araman
, Peter W. Glynn:
Gaussian limits for scheduled traffic with super-heavy tailed perturbations. Queueing Syst. Theory Appl. 105(1-2): 5-15 (2023) - Peter W. Glynn, Zeyu Zheng:
Cosimla with General Regeneration Set to Compute Markov Chain Stationary Expectations. WSC 2023: 469-479 - Shengbo Wang, Jose H. Blanchet, Peter W. Glynn:
Optimal Sample Complexity of Reinforcement Learning for Uniformly Ergodic Discounted Markov Decision Processes. CoRR abs/2302.07477 (2023) - Ziwei Su, Raghu Pasupathy, Yingchieh Yeh, Peter W. Glynn:
Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation. CoRR abs/2307.08609 (2023) - Shengbo Wang, Jose H. Blanchet, Peter W. Glynn:
Optimal Sample Complexity for Average Reward Markov Decision Processes. CoRR abs/2310.08833 (2023) - Li Xia, Zhihui Yu, Peter W. Glynn:
On the Maximization of Long-Run Reward CVaR for Markov Decision Processes. CoRR abs/2312.01586 (2023) - 2022
- Zhengyuan Zhou
, Panayotis Mertikopoulos
, Nicholas Bambos
, Peter W. Glynn, Yinyu Ye:
Distributed Stochastic Optimization with Large Delays. Math. Oper. Res. 47(3): 2082-2111 (2022) - Victor F. Araman
, Hong Chen, Peter W. Glynn, Li Xia:
On a single server queue fed by scheduled traffic with Pareto perturbations. Queueing Syst. Theory Appl. 100(1-2): 61-91 (2022) - Peter W. Glynn:
Queueing theory: past, present, and future. Queueing Syst. Theory Appl. 100(3-4): 169-171 (2022) - Zeyu Zheng, Alex Infanger, Peter W. Glynn:
Combining Numerical Linear Algebra with Simulation to Compute Stationary Distributions. WSC 2022: 2342-2353 - Yuan Shi, Saied Mahdian, Jose H. Blanchet, Peter W. Glynn, Andrew Young Shin, David Scheinker:
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data. CoRR abs/2202.06383 (2022) - Jin Xie, Teng Zhang, Jose H. Blanchet, Peter W. Glynn, Matthew Randolph, David Scheinker:
The Design and Implementation of a Broadly Applicable Algorithm for Optimizing Intra-Day Surgical Scheduling. CoRR abs/2203.08146 (2022) - Alex Infanger, Peter W. Glynn, Yuanyuan Liu:
On Convergence of General Truncation-Augmentation Schemes for Approximating Stationary Distributions of Markov Chains. CoRR abs/2203.15167 (2022) - Alex Infanger, Peter W. Glynn:
On Convergence of a Truncation Scheme for Approximating Stationary Distributions of Continuous State Space Markov Chains and Processes. CoRR abs/2206.11738 (2022) - Alex Infanger, Peter W. Glynn:
A New Truncation Algorithm for Markov Chain Equilibrium Distributions with Computable Error Bounds. CoRR abs/2208.14406 (2022) - Lin Fan, Peter W. Glynn:
The Typical Behavior of Bandit Algorithms. CoRR abs/2210.05660 (2022) - Li Xia, Peter W. Glynn:
Risk-Sensitive Markov Decision Processes with Long-Run CVaR Criterion. CoRR abs/2210.08740 (2022) - Hongseok Namkoong, Yuanzhe Ma, Peter W. Glynn:
Minimax Optimal Estimation of Stability Under Distribution Shift. CoRR abs/2212.06338 (2022) - 2021
- Takuya Iwanaga
, Hsiao-Hsuan Wang
, Serena H. Hamilton
, Volker Grimm, Tomasz E. Koralewski, Alejandro Salado, Sondoss Elsawah, Saman Razavi
, Jing Yang, Pierre Glynn
, Jennifer M. Badham
, Alexey A. Voinov
, Min Chen, William E. Grant, Tarla Rai Peterson, Karin Frank
, Gary Shenk, C. Michael Barton
, John C. Little
:
Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach. Environ. Model. Softw. 135: 104885 (2021) - Peter W. Glynn, Yijie Peng
, Michael C. Fu, Jian-Qiang Hu:
Computing Sensitivities for Distortion Risk Measures. INFORMS J. Comput. 33(4): 1520-1532 (2021) - Zeyu Zheng
, Harsha Honnappa
, Peter W. Glynn
:
Technical Note - Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates. Oper. Res. 69(5): 1566-1574 (2021) - Zhengyuan Zhou
, Panayotis Mertikopoulos
, Aris L. Moustakas, Nicholas Bambos
, Peter W. Glynn:
Robust Power Management via Learning and Game Design. Oper. Res. 69(1): 331-345 (2021) - John C. Duchi, Peter W. Glynn, Hongseok Namkoong
:
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach. Math. Oper. Res. 46(3): 946-969 (2021)
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