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Peter W. Glynn
Person information
- affiliation: Stanford University, USA
- award (2010): John von Neumann Theory Prize
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2020 – today
- 2024
- [j104]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) - [j103]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) - [c104]Shengbo Wang, José H. Blanchet, Peter W. Glynn:
Optimal Sample Complexity for Average Reward Markov Decision Processes. ICLR 2024 - [i31]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) - [i30]Guanyang Wang, Jose H. Blanchet, Peter W. Glynn:
When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones? CoRR abs/2404.01431 (2024) - [i29]Yanlin Qu, Jose H. Blanchet, Peter W. Glynn:
Deep Learning for Computing Convergence Rates of Markov Chains. CoRR abs/2405.20435 (2024) - 2023
- [j102]Eunji Lim
, Peter W. Glynn
:
Simulation-Based Prediction. Oper. Res. 71(1): 47-60 (2023) - [j101]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) - [c103]Peter W. Glynn, Zeyu Zheng:
Cosimla with General Regeneration Set to Compute Markov Chain Stationary Expectations. WSC 2023: 469-479 - [i28]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) - [i27]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) - [i26]Shengbo Wang, Jose H. Blanchet, Peter W. Glynn:
Optimal Sample Complexity for Average Reward Markov Decision Processes. CoRR abs/2310.08833 (2023) - [i25]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
- [j100]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) - [j99]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) - [j98]Peter W. Glynn:
Queueing theory: past, present, and future. Queueing Syst. Theory Appl. 100(3-4): 169-171 (2022) - [c102]Zeyu Zheng, Alex Infanger, Peter W. Glynn:
Combining Numerical Linear Algebra with Simulation to Compute Stationary Distributions. WSC 2022: 2342-2353 - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]Alex Infanger, Peter W. Glynn:
A New Truncation Algorithm for Markov Chain Equilibrium Distributions with Computable Error Bounds. CoRR abs/2208.14406 (2022) - [i19]Lin Fan, Peter W. Glynn:
The Typical Behavior of Bandit Algorithms. CoRR abs/2210.05660 (2022) - [i18]Li Xia, Peter W. Glynn:
Risk-Sensitive Markov Decision Processes with Long-Run CVaR Criterion. CoRR abs/2210.08740 (2022) - [i17]Hongseok Namkoong, Yuanzhe Ma, Peter W. Glynn:
Minimax Optimal Estimation of Stability Under Distribution Shift. CoRR abs/2212.06338 (2022) - 2021
- [j97]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) - [j96]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) - [j95]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) - [j94]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) - [c101]Zhengqing Zhou, Qinxun Bai, Zhengyuan Zhou, Linhai Qiu, Jose H. Blanchet, Peter W. Glynn:
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning. AISTATS 2021: 3331-3339 - [c100]Carson Kent, Jiajin Li, José H. Blanchet, Peter W. Glynn:
Modified Frank Wolfe in Probability Space. NeurIPS 2021: 14448-14462 - [c99]Peter W. Glynn, Zeyu Zheng:
Efficient Computation for Stratified Splitting. WSC 2021: 1-8 - [i16]Jacques de Chalendar, Peter W. Glynn:
On Incorporating Forecasts into Linear State Space Model Markov Decision Processes. CoRR abs/2103.07533 (2021) - [i15]Lin Fan, Peter W. Glynn:
Diffusion Approximations for Thompson Sampling. CoRR abs/2105.09232 (2021) - [i14]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Distributed stochastic optimization with large delays. CoRR abs/2107.02919 (2021) - [i13]Lin Fan, Peter W. Glynn:
The Fragility of Optimized Bandit Algorithms. CoRR abs/2109.13595 (2021) - 2020
- [j93]Peter W. Glynn, Lin Fan, Michael C. Fu, Jian-Qiang Hu, Yijie Peng
:
Technical Note - Central Limit Theorems for Estimated Functions at Estimated Points. Oper. Res. 68(5): 1557-1563 (2020) - [j92]Zhengyuan Zhou
, Panayotis Mertikopoulos
, Nicholas Bambos
, Stephen P. Boyd, Peter W. Glynn:
On the Convergence of Mirror Descent beyond Stochastic Convex Programming. SIAM J. Optim. 30(1): 687-716 (2020) - [c98]Shubhada Agrawal, Sandeep Juneja, Peter W. Glynn:
Optimal $δ$-Correct Best-Arm Selection for Heavy-Tailed Distributions. ALT 2020: 61-110 - [c97]Peter W. Glynn, Ramesh Johari, Mohammad Rasouli:
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach. NeurIPS 2020 - [c96]Peter W. Glynn, Marvin K. Nakayama, Bruno Tuffin:
Comparing Regenerative-Simulation-Based Estimators of the Distribution of the Hitting Time to a Rarely Visited Set. WSC 2020: 421-432 - [c95]Saied Mahdian, Jose H. Blanchet
, Peter W. Glynn:
A Class of Optimal Transport Regularized Formulations with Applications to Wasserstein GANs. WSC 2020: 433-444 - [c94]Jingxu Xu, Zeyu Zheng
, Peter W. Glynn:
Joint Resource Allocation for Input Data Collection and Simulation. WSC 2020: 2126-2137 - [i12]Yanjun Han, Zhengqing Zhou, Zhengyuan Zhou, Jose H. Blanchet, Peter W. Glynn, Yinyu Ye:
Sequential Batch Learning in Finite-Action Linear Contextual Bandits. CoRR abs/2004.06321 (2020)
2010 – 2019
- 2019
- [j91]Amir H. Delgoshaie
, Peter W. Glynn, Patrick Jenny
, Hamdi A. Tchelepi
:
The stochastic counterpart of conservation laws with heterogeneous conductivity fields: Application to deterministic problems and uncertainty quantification. J. Comput. Phys. X 2: 100005 (2019) - [j90]Naveed Chehrazi
, Peter W. Glynn, Thomas A. Weber
:
Dynamic Credit-Collections Optimization. Manag. Sci. 65(6): 2737-2769 (2019) - [j89]Peter W. Glynn, Rob J. Wang:
On the rate of convergence to equilibrium for two-sided reflected Brownian motion and for the Ornstein-Uhlenbeck process. Queueing Syst. Theory Appl. 91(1-2): 1-14 (2019) - [c93]Jacques de Chalendar, Peter W. Glynn, Sally Benson:
Experimental Investigation of a Capacity-Based Demand Response Mechanism for District-Scale Applications. HICSS 2019: 1-10 - [c92]Casey Chu, Jose H. Blanchet, Peter W. Glynn:
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning. ICML 2019: 1213-1222 - [c91]Jose H. Blanchet, Peter W. Glynn, Jun Yan, Zhengqing Zhou:
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss. NeurIPS 2019: 11794-11803 - [c90]Jing Dong, Peter W. Glynn:
The Asymptotic Validity of Sequential Stopping Rules for Confidence Interval Construction Using Standardized Time Series. WSC 2019: 332-343 - [c89]Peter W. Glynn, Zeyu Zheng:
Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend. WSC 2019: 3764-3773 - [i11]Casey Chu, Jose H. Blanchet, Peter W. Glynn:
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning. CoRR abs/1901.10691 (2019) - [i10]Saied Mahdian, Jose H. Blanchet, Peter W. Glynn:
Optimal Transport Relaxations with Application to Wasserstein GANs. CoRR abs/1906.03317 (2019) - [i9]Shubhada Agrawal, Sandeep Juneja, Peter W. Glynn:
Optimal best arm selection for general distributions. CoRR abs/1908.09094 (2019) - 2018
- [j88]Zhengyuan Zhou
, Nicholas Bambos
, Peter W. Glynn:
Deterministic and Stochastic Wireless Network Games: Equilibrium, Dynamics, and Price of Anarchy. Oper. Res. 66(6): 1498-1516 (2018) - [j87]Peter W. Glynn, Rob J. Wang:
On the rate of convergence to equilibrium for reflected Brownian motion. Queueing Syst. Theory Appl. 89(1-2): 165-197 (2018) - [j86]Raghu Pasupathy, Peter W. Glynn, Soumyadip Ghosh, Fatemeh Sadat Hashemi:
On Sampling Rates in Simulation-Based Recursions. SIAM J. Optim. 28(1): 45-73 (2018) - [c88]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei:
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? ICML 2018: 5965-5974 - [c87]Mansur Arief
, Peter W. Glynn, Ding Zhao
:
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets. ITSC 2018: 2006-2011 - [c86]Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Learning in Games with Lossy Feedback. NeurIPS 2018: 5140-5150 - [c85]Peter W. Glynn, Henry Lam:
Constructing simulation output Intervals under input uncertainty via Data sectioning. WSC 2018: 1551-1562 - [c84]Peter W. Glynn, Marvin K. Nakayama, Bruno Tuffin:
Using Regenerative simulation to Calibrate exponential Approximations to Risk Measures of Hitting times to rarely Visited Sets. WSC 2018: 1802-1813 - [i8]Abhishek K. Gupta, Rahul Jain, Peter W. Glynn:
A Fixed Point Theorem for Iterative Random Contraction Operators over Banach Spaces. CoRR abs/1804.01195 (2018) - [i7]Mansur Arief, Peter W. Glynn, Ding Zhao
:
An Accelerated Approach to Safely and Efficiently Test Pre-produced Autonomous Vehicles on Public Streets. CoRR abs/1805.02114 (2018) - [i6]Li Xia, Zhe George Zhang, Quan-Lin Li, Peter W. Glynn:
A c/μ-Rule for Service Resource Allocation in Group-Server Queues. CoRR abs/1807.05367 (2018) - 2017
- [j85]Neal Master, Zhengyuan Zhou, Daniel Miller, David Scheinker, Nicholas Bambos, Peter W. Glynn:
Improving predictions of pediatric surgical durations with supervised learning. Int. J. Data Sci. Anal. 4(1): 35-52 (2017) - [j84]Baris Ata, Peter W. Glynn, Xiaoshan Peng:
An equilibrium analysis of a discrete-time Markovian queue with endogenous abandonments. Queueing Syst. Theory Appl. 86(1-2): 141-212 (2017) - [j83]Søren Asmussen, Peter W. Glynn:
On preemptive-repeat LIFO queues. Queueing Syst. Theory Appl. 87(1-2): 1-22 (2017) - [c83]Zhengyuan Zhou, Panayotis Mertikopoulos
, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn:
Mirror descent learning in continuous games. CDC 2017: 5776-5783 - [c82]Zhengyuan Zhou, Panayotis Mertikopoulos
, Aris L. Moustakas, Saied Mehdian, Nicholas Bambos, Peter W. Glynn:
Stable Power Control in Wireless Networks via Dual Averaging. GLOBECOM 2017: 1-6 - [c81]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Claire J. Tomlin:
Countering Feedback Delays in Multi-Agent Learning. NIPS 2017: 6171-6181 - [c80]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
Stochastic Mirror Descent in Variationally Coherent Optimization Problems. NIPS 2017: 7040-7049 - [c79]Zeyu Zheng, Peter W. Glynn:
Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squares. WSC 2017: 1740-1749 - [c78]Peter W. Glynn, Marvin K. Nakayama, Bruno Tuffin:
On the estimation of the mean time to failure by simulation. WSC 2017: 1844-1855 - [c77]Yijie Peng, Michael C. Fu, Peter W. Glynn, Jianqiang Hu:
On the asymptotic analysis of quantile sensitivity estimation by Monte Carlo simulation. WSC 2017: 2336-2347 - [i5]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
Mirror descent in non-convex stochastic programming. CoRR abs/1706.05681 (2017) - 2016
- [j82]Zizhuo Wang
, Peter W. Glynn, Yinyu Ye:
Likelihood robust optimization for data-driven problems. Comput. Manag. Sci. 13(2): 241-261 (2016) - [j81]Sigrún Andradóttir, Peter W. Glynn:
Computing Bayesian Means Using Simulation. ACM Trans. Model. Comput. Simul. 26(2): 10:1-10:26 (2016) - [j80]Rob J. Wang, Peter W. Glynn:
On the Marginal Standard Error Rule and the Testing of Initial Transient Deletion Methods. ACM Trans. Model. Comput. Simul. 27(1): 1 (2016) - [c76]Zhengyuan Zhou, Peter W. Glynn, Nicholas Bambos:
Repeated games for power control in wireless communications: Equilibrium and regret. CDC 2016: 3603-3610 - [c75]Zhengyuan Zhou, Daniel Miller, Neal Master, David Scheinker
, Nicholas Bambos
, Peter W. Glynn:
Detecting Inaccurate Predictions of Pediatric Surgical Durations. DSAA 2016: 452-457 - [c74]Zhengyuan Zhou, Nicholas Bambos
, Peter W. Glynn:
Dynamics on Linear Influence Network Games Under Stochastic Environments. GameSec 2016: 114-126 - [c73]Zhengyuan Zhou, Daniel Miller, Nicholas Bambos, Peter W. Glynn:
A Stochastic Stability Characterization of the Foschini-Miljanic Algorithm in Random Wireless Networks. GLOBECOM 2016: 1-6 - [c72]Peter W. Glynn:
Exact simulation vs exact estimation. WSC 2016: 193-205 - [c71]Zeyu Zheng, Peter W. Glynn:
Extensions of the regenerative method to new functionals. WSC 2016: 289-301 - [i4]Li Xia, Peter W. Glynn:
A Generalized Fundamental Matrix for Computing Fundamental Quantities of Markov Systems. CoRR abs/1604.04343 (2016) - 2015
- [j79]Chang-han Rhee, Peter W. Glynn:
Unbiased Estimation with Square Root Convergence for SDE Models. Oper. Res. 63(5): 1026-1043 (2015) - [j78]Xiaowei Zhang
, Jose H. Blanchet
, Kay Giesecke
, Peter W. Glynn:
Affine Point Processes: Approximation and Efficient Simulation. Math. Oper. Res. 40(4): 797-819 (2015) - [j77]Peter W. Glynn, Peter J. Haas:
Guest Editors' Introduction to Special Issue Honoring Donald L. Iglehart. ACM Trans. Model. Comput. Simul. 25(4): 21:1-21:3 (2015) - [j76]Peter W. Glynn, Peter J. Haas:
On Transience and Recurrence in Irreducible Finite-State Stochastic Systems. ACM Trans. Model. Comput. Simul. 25(4): 25:1-25:19 (2015) - [c70]Abhishek Gupta
, Rahul Jain
, Peter W. Glynn:
An empirical algorithm for relative value iteration for average-cost MDPs. CDC 2015: 5079-5084 - [c69]Jose H. Blanchet, Nan Chen, Peter W. Glynn:
Unbiased monte carlo computation of smooth functions of expectations via Taylor expansions. WSC 2015: 360-367 - [c68]Jose H. Blanchet, Peter W. Glynn:
Unbiased Monte Carlo for optimization and functions of expectations via multi-level randomization. WSC 2015: 3656-3667 - 2014
- [j75]Peter W. Glynn, Chang-han Rhee:
Exact estimation for Markov chain equilibrium expectations. J. Appl. Probab. 51(A): 377-389 (2014) - [c67]Rob J. Wang, Peter W. Glynn:
Measuring the initial transient: reflected brownian motion. WSC 2014: 652-661 - 2013
- [j74]Mats Pihlsgård, Peter W. Glynn:
On the Dynamics of Semimartingales with Two Reflecting Barriers. J. Appl. Probab. 50(3): 671-685 (2013) - [j73]Syamantak Datta Gupta, Ravi R. Mazumdar
, Peter W. Glynn:
On the convergence of the spectrum of finite order approximations of stationary time series. J. Multivar. Anal. 121: 1-21 (2013) - [j72]Hernan P. Awad, Peter W. Glynn, Reuven Y. Rubinstein:
Zero-Variance Importance Sampling Estimators for Markov Process Expectations. Math. Oper. Res. 38(2): 358-388 (2013) - [j71]Peter W. Glynn, Gerd Infanger:
Simulation-based confidence bounds for two-stage stochastic programs. Math. Program. 138(1-2): 15-42 (2013) - [j70]Jose H. Blanchet
, Peter W. Glynn, Sean P. Meyn:
Large deviations for the empirical mean of an M/M/1 queue. Queueing Syst. Theory Appl. 73(4): 425-446 (2013) - [j69]Yen Lin Chia
, Peter W. Glynn:
Limit Theorems for Simulation-Based Optimization via Random Search. ACM Trans. Model. Comput. Simul. 23(3): 16:1-16:18 (2013) - [j68]Peter W. Glynn, Sandeep Juneja:
Asymptotic Simulation Efficiency Based on Large Deviations. ACM Trans. Model. Comput. Simul. 23(3): 20:1-20:16 (2013) - [i3]Mohammad Mousavi, Peter W. Glynn:
Exact Simulation of Non-stationary Reflected Brownian Motion. CoRR abs/1312.6456 (2013) - [i2]Mohammad Mousavi, Peter W. Glynn:
Shape-constrained Estimation of Value Functions. CoRR abs/1312.7035 (2013) - 2012
- [j67]Eunji Lim, Peter W. Glynn:
Consistency of Multidimensional Convex Regression. Oper. Res. 60(1): 196-208 (2012) - [j66]Victor F. Araman, Peter W. Glynn:
Fractional Brownian Motion with H < 1/2 as a Limit of Scheduled Traffic. J. Appl. Probab. 49(3): 710-718 (2012) - [j65]Jose H. Blanchet
, Peter W. Glynn, Kevin Leder:
On Lyapunov Inequalities and Subsolutions for Efficient Importance Sampling. ACM Trans. Model. Comput. Simul. 22(3): 13:1-13:27 (2012) - [c66]Jose H. Blanchet, Peter W. Glynn, Shuheng Zheng:
Empirical Analysis of a Stochastic Approximation Approach for Computing Quasi-stationary Distributions. EVOLVE 2012: 19-37 - [c65]Chang-han Rhee, Peter W. Glynn:
A new approach to unbiased estimation for SDE's. WSC 2012: 17:1-17:7 - [c64]Peter W. Glynn, Peter J. Haas:
On simulation of non-Markovian stochastic Petri nets with heavy-tailed firing times. WSC 2012: 301:1-301:12 - [c63]Chang-han Rhee, Peter W. Glynn:
A new approach to unbiased estimation for SDE's. WSC 2012: 331:1-331:2 - 2011
- [j64]Uday V. Shanbhag, Gerd Infanger, Peter W. Glynn:
A Complementarity Framework for Forward Contracting Under Uncertainty. Oper. Res. 59(4): 810-834 (2011) - [j63]Xiaowei Zhang
, Peter W. Glynn:
On the dynamics of a finite buffer queue conditioned on the amount of loss. Queueing Syst. Theory Appl. 67(2): 91-110 (2011) - [j62]Mariana Olvera-Cravioto, Peter W. Glynn:
Uniform approximations for the M/G/1 queue with subexponential processing times. Queueing Syst. Theory Appl. 68(1): 1-50 (2011) - [j61]Peter W. Glynn:
Wide-sense regeneration for Harris recurrent Markov processes: an open problem. Queueing Syst. Theory Appl. 68(3-4): 305-311 (2011) - [c62]Syamantak Datta Gupta, Ravi R. Mazumdar
, Peter W. Glynn:
On the asymptotic behavior of the spectral density of autoregressive estimates. Allerton 2011: 292-298 - [c61]Peter W. Glynn, Eunji Lim:
Brownian bridge hypothesis testing for the initial transient problem. WSC 2011: 481-487 - [c60]Peter W. Glynn, Sandeep Juneja:
Ordinal optimization: a nonparametric framework. WSC 2011: 4062-4069 - 2010
- [j60]Pierre L'Ecuyer
, Jose H. Blanchet
, Bruno Tuffin, Peter W. Glynn:
Asymptotic robustness of estimators in rare-event simulation. ACM Trans. Model. Comput. Simul. 20(1): 6:1-6:41 (2010) - [c59]Peter W. Glynn, Xiaowei Zhang
:
A regenerative bootstrap approach to estimating the initial transient. WSC 2010: 965-970
2000 – 2009
- 2009
- [j59]Jose H. Blanchet
, Peter W. Glynn, Henry Lam:
Rare event simulation for a slotted time M/G/s model. Queueing Syst. Theory Appl. 63(1-4): 33-57 (2009) - [c58]Jose H. Blanchet, Peter W. Glynn:
Efficient Rare Event Simulation of Continuous Time Markovian Perpetuities. WSC 2009: 444-451 - [c57]Minghua Hsieh, Peter W. Glynn:
New Estimators for Parallel Steady-state Simulations. WSC 2009: 469-474 - [c56]Peter W. Glynn, Michel Mandjes:
Simulation-based Computation of the Workload Correlation Function in a Lévy-driven Queue. WSC 2009: 1155-1166 - [c55]Xiaowei Zhang
, Peter W. Glynn, Kay Giesecke, Jose H. Blanchet:
Rare Event Simulation for a Generalized Hawkes Process. WSC 2009: 1291-1298 - [p2]Peter W. Glynn, Gerardo Rubino, Bruno Tuffin:
Robustness Properties and Confidence Interval Reliability Issues. Rare Event Simulation using Monte Carlo Methods 2009: 63-84 - 2008
- [j58]Bruno Tuffin, Peter W. Glynn:
Performance evaluation methodologies and tools. Perform. Evaluation 65(11-12): 787-788 (2008) - [c54]Peter W. Glynn:
Linear Programming, Lyapunov Functions, and Performance Analysis. QEST 2008: 201 - [c53]Peter W. Glynn, Sandeep Juneja:
A large deviations view of asymptotic efficiency for simulation estimators. WSC 2008: 396-406 - [c52]Peter W. Glynn:
Monte carlo simulation of diffusions. WSC 2008: 556-559 - 2007
- [b1]Søren Asmussen, Peter W. Glynn:
Stochastic simulation - algorithms and analysis. Stochastic modeling and applied probability 57, Springer 2007, ISBN 978-0-387-30679-7, pp. I-XIV, 1-476 - [j57]Jose H. Blanchet
, Peter W. Glynn, Jingchen Liu:
Fluid heuristics, Lyapunov bounds and efficient importance sampling for a heavy-tailed G/G/1 queue. Queueing Syst. Theory Appl. 57(2-3): 99-113 (2007) - [j56]Hernan P. Awad, Peter W. Glynn:
On the theoretical comparison of low-bias steady-state estimators. ACM Trans. Model. Comput. Simul. 17(1): 4 (2007) - [j55]Sigrún Andradóttir, Paul Glasserman, Peter W. Glynn, Philip Heidelberger, Sandeep Juneja:
Perwez Shahabuddin, 1962-2005: A professional appreciation. ACM Trans. Model. Comput. Simul. 17(2): 6 (2007) - [c51]Peter W. Glynn:
Stochastic approximation for Monte Carlo optimization (1986). WSC 2007: 4 - [c50]Perwez Shahabuddin, Victor F. Nicola, Philip Heidelberger, Ambuj Goyal, Peter W. Glynn:
Varaince reduction in mean time to failure simulations (1988). WSC 2007: 6 - [c49]Xiaowei Zhang
, Jose H. Blanchet, Peter W. Glynn:
Efficient suboptimal rare-event simulation. WSC 2007: 389-394 - [e1]Peter W. Glynn:
Proceedings of the 2nd International Conference on Performance Evaluation Methodolgies and Tools, VALUETOOLS 2007, Nantes, France, October 22-27, 2007. ACM International Conference Proceeding Series, ICST/ACM 2007, ISBN 978-963-9799-00-4 [contents] - [i1]David F. Gleich, Peter W. Glynn, Gene H. Golub, Chen Greif:
Three results on the PageRank vector: eigenstructure, sensitivity, and the derivative. Web Information Retrieval and Linear Algebra Algorithms 2007 - 2006
- [j54]Paat Rusmevichientong, Benjamin Van Roy, Peter W. Glynn:
A Nonparametric Approach to Multiproduct Pricing. Oper. Res. 54(1): 82-98 (2006) - [j53]Tim Holliday, Andrea J. Goldsmith, Peter W. Glynn:
Capacity of Finite State Channels Based on Lyapunov Exponents of Random Matrices. IEEE Trans. Inf. Theory 52(8): 3509-3532 (2006) - [j52]James M. Calvin
, Peter W. Glynn, Marvin K. Nakayama:
The semi-regenerative method of simulation output analysis. ACM Trans. Model. Comput. Simul. 16(3): 280-315 (2006) - [c48]Jose H. Blanchet, Peter W. Glynn:
Strongly efficient estimators for light-tailed sums. VALUETOOLS 2006: 18 - [c47]Jose H. Blanchet, Jingchen Liu, Peter W. Glynn:
State-dependent importance sampling and large deviations. VALUETOOLS 2006: 20 - [c46]Hernan P. Awad, Peter W. Glynn:
On an initial transient deletion rule with rigorous theoretical support. WSC 2006: 186-191 - [c45]Eunji Lim, Peter W. Glynn:
Simulation-based response surface computation in the presence of monotonicity. WSC 2006: 264-271 - [p1]Peter W. Glynn:
Chapter 16 Simulation Algorithms for Regenerative Processes. Simulation 2006: 477-500 - 2005
- [j51]Amy R. Ward, Peter W. Glynn:
A Diffusion Approximation for a GI/GI/1 Queue with Balking or Reneging. Queueing Syst. Theory Appl. 50(4): 371-400 (2005) - [j50]Peter W. Glynn:
Introduction to Special Issue on Stochastic Networks. Queueing Syst. Theory Appl. 51(3-4): 197-198 (2005) - [c44]Tim Holliday, Peter W. Glynn, Andrea Goldsmith:
Shannon Meets Lyapunov: Connections between Information Theory and Dynamical Systems. CDC/ECC 2005: 1756-1763 - [c43]Peter W. Glynn:
Initial transient problem for steady-state output analysis. WSC 2005: 739-740 - 2004
- [j49]B. Curtis Eaves, Peter W. Glynn, Uriel G. Rothblum:
The Mean Number-in-System Vector Range for Multiclass Queueing Networks. Math. Oper. Res. 29(1): 182-190 (2004) - [j48]Peter W. Glynn, Hermann Thorisson:
Limit Theory for Taboo-Regenerative Processes. Queueing Syst. Theory Appl. 46(3-4): 271-294 (2004) - [j47]Michelle M. Cowing, Marie-Elisabeth Paté-Cornell, Peter W. Glynn:
Dynamic modeling of the tradeoff between productivity and safety in critical engineering systems. Reliab. Eng. Syst. Saf. 86(3): 269-284 (2004) - [j46]Minghua Hsieh, Donald L. Iglehart, Peter W. Glynn:
Empirical performance of bias-reducing estimators for regenerative steady-state simulations. ACM Trans. Model. Comput. Simul. 14(4): 325-343 (2004) - [j45]Tajana Simunic, Stephen P. Boyd, Peter W. Glynn:
Managing power consumption in networks on chips. IEEE Trans. Very Large Scale Integr. Syst. 12(1): 96-107 (2004) - [c42]Tim Holliday, Andrea Goldsmith, Peter W. Glynn, Nick Bambos:
Distributed power and admission control for time varying wireless networks. GLOBECOM 2004: 768-774 - [c41]Tim Holliday, Andrea Goldsmith, Nick Bambos, Peter W. Glynn:
Distributed power and admission control for time-varying wireless networks. ISIT 2004: 351 - [c40]Peter W. Glynn, Sandeep Juneja:
A Large Deviations Perspective on Ordinal Optimization. WSC 2004: 577-585 - 2003
- [j44]Walid F. Nasrallah
, Raymond E. Levitt, Peter W. Glynn:
Interaction Value Analysis: When Structured Communication Benefits Organizations. Organ. Sci. 14(5): 541-557 (2003) - [j43]Shane G. Henderson
, Peter W. Glynn:
Nonexistence of a class of variate generation schemes. Oper. Res. Lett. 31(2): 83-89 (2003) - [j42]Amy R. Ward, Peter W. Glynn:
A Diffusion Approximation for a Markovian Queue with Reneging. Queueing Syst. Theory Appl. 43(1-2): 103-128 (2003) - [j41]Amy R. Ward, Peter W. Glynn:
Properties of the Reflected Ornstein-Uhlenbeck Process. Queueing Syst. Theory Appl. 44(2): 109-123 (2003) - [j40]Shing-Hoi Lee, Peter W. Glynn:
Computing the distribution function of a conditional expectation via monte carlo: Discrete conditioning spaces. ACM Trans. Model. Comput. Simul. 13(3): 238-258 (2003) - 2002
- [j39]Peter W. Glynn:
Additional Perspectives on Simulation for Optimization. INFORMS J. Comput. 14(3): 220-222 (2002) - [j38]James R. Bradley
, Peter W. Glynn:
Managing Capacity and Inventory Jointly in Manufacturing Systems. Manag. Sci. 48(2): 273-288 (2002) - [j37]Shane G. Henderson, Peter W. Glynn:
Approximating Martingales for Variance Reduction in Markov Process Simulation. Math. Oper. Res. 27(2): 253-271 (2002) - [j36]Peter J. Haas, Peter W. Glynn:
On the validity of long-run estimation methods for discrete-event systems. SIGMETRICS Perform. Evaluation Rev. 30(3): 35-37 (2002) - [j35]Dirk Ormoneit, Peter W. Glynn:
Kernel-based reinforcement learning in average-cost problems. IEEE Trans. Autom. Control. 47(10): 1624-1636 (2002) - [c39]Tim Holliday, Andrea Goldsmith, Peter W. Glynn:
Optimal link adaptation in wideband CDMA systems. GLOBECOM 2002: 721-726 - [c38]Tim Holliday, Andrea J. Goldsmith, Peter W. Glynn:
Wireless link adaptation policies: QoS for deadline constrained traffic with imperfect channel estimates. ICC 2002: 3366-3371 - [c37]Minghua Hsieh, Peter W. Glynn:
Recent advances in simulation optimization: confidence regions for stochastic approximation algorithms. WSC 2002: 370-376 - [c36]Roberto Szechtman, Peter W. Glynn:
Difficult queuing simulation problems: rare-event simulation for infinite server queues. WSC 2002: 416-423 - 2001
- [j34]David F. Muñoz
, Peter W. Glynn:
Multivariate Standardized Time Series for Steady-State Simulation Output Analysis. Oper. Res. 49(3): 413-422 (2001) - [j33]Shane G. Henderson, Peter W. Glynn:
Computing Densities for Markov Chains via Simulation. Math. Oper. Res. 26(2): 375-400 (2001) - [j32]Tajana Simunic, Luca Benini, Peter W. Glynn, Giovanni De Micheli:
Event-driven power management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 20(7): 840-857 (2001) - [j31]Shane G. Henderson, Peter W. Glynn:
Regenerative steady-state simulation of discrete-event systems. ACM Trans. Model. Comput. Simul. 11(4): 313-345 (2001) - [c35]Tajana Simunic, Luca Benini, Andrea Acquaviva, Peter W. Glynn, Giovanni De Micheli:
Dynamic Voltage Scaling and Power Management for Portable Systems. DAC 2001: 524-529 - [c34]Paritosh Y. Desai, Peter W. Glynn:
Simulation in optimization and optimization in simulation: a markov chain perspective on adaptive Monte Carlo algorithms. WSC 2001: 379-384 - [c33]Roberto Szechtman, Peter W. Glynn:
Constrained Monte Carlo and the method of control variates. WSC 2001: 394-400 - [c32]James M. Calvin, Peter W. Glynn, Marvin K. Nakayama:
Steady state simulation analysis: importance sampling using the semi-regenerative method. WSC 2001: 441-450 - 2000
- [j30]Cathy H. Xia, J. George Shanthikumar, Peter W. Glynn:
On the Asymptotic Optimality of the SPT Rule for the Flow Shop Average Completion Time Problem. Oper. Res. 48(4): 615-622 (2000) - [c31]Tajana Simunic, Luca Benini, Peter W. Glynn, Giovanni De Micheli:
Dynamic Power Management of Laptop Hard Disk. DATE 2000: 736 - [c30]Tajana Simunic, Haris Vikalo, Peter W. Glynn, Giovanni De Micheli:
Energy efficient design of portable wireless systems. ISLPED 2000: 49-54 - [c29]Tajana Simunic, Luca Benini, Peter W. Glynn, Giovanni De Micheli:
Dynamic power management for portable systems. MobiCom 2000: 11-19 - [c28]Dirk Ormoneit, Peter W. Glynn:
Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice. NIPS 2000: 1068-1074
1990 – 1999
- 1999
- [j29]Shane G. Henderson, Peter W. Glynn:
Derandomizing Variance Estimators. Oper. Res. 47(6): 907-916 (1999) - [c27]Shane G. Henderson, Peter W. Glynn:
Can the regenerative method be applied to discrete-event simulation? WSC 1999: 367-373 - [c26]James M. Calvin
, Peter W. Glynn, Marvin K. Nakayama:
On the small-sample optimality of multiple-regeneration estimators. WSC 1999: 655-661 - [c25]Shing-Hoi Lee, Peter W. Glynn:
Computing the distribution function of a conditional expectation via Monte Carlo: discrete conditioning spaces. WSC 1999: 1654-1663 - 1998
- [j28]Walid F. Nasrallah
, Peter W. Glynn, Raymond E. Levitt:
Diversity and Popularity in Organizations and Communities. Comput. Math. Organ. Theory 4(4): 347-372 (1998) - [j27]Amy R. Ward, Peter W. Glynn, Kathy J. Richardson:
Internet service performance failure detection. SIGMETRICS Perform. Evaluation Rev. 26(3): 38-43 (1998) - [c24]Peter W. Glynn, Shane G. Henderson:
Estimation of Stationary Densities for Markov Chains. WSC 1998: 647-652 - 1997
- [c23]Halim Damerdji, Shane G. Henderson, Peter W. Glynn:
Computational Efficiency Evaluation in Output Analysis. WSC 1997: 208-215 - 1996
- [j26]Peter W. Glynn:
Foreword. Discret. Event Dyn. Syst. 6(1): 7-8 (1996) - [c22]Halim Damerdji, Peter W. Glynn, Marvin K. Nakayama, James R. Wilson:
Selecting the Best System in Transient Simulations with Variances Known. WSC 1996: 281-286 - [c21]Katherine B. Ensor, Peter W. Glynn:
Grid-Based Simulation and the Method of Conditional Least Squares. WSC 1996: 325-331 - 1995
- [j25]Peter W. Glynn, Ward Whitt:
Heavy-traffic extreme-value limits for queues. Oper. Res. Lett. 18(3): 107-111 (1995) - [c20]Peter W. Glynn:
Some New Results on the Initial Transient Problem. WSC 1995: 165-170 - [c19]Marcelo J. Torres, Peter W. Glynn:
A Set of Extensions to the SIMAN/ARENA Simulation Environment. WSC 1995: 285-293 - [c18]Halim Damerdji, Peter W. Glynn:
Performance Analysis of Future Event Sets. WSC 1995: 316-321 - [c17]Peter W. Glynn:
The Interface Between Simulation Output Analysis Research and Practice. WSC 1995: 346 - 1994
- [j24]Peter W. Glynn:
Efficiency improvement techniques. Ann. Oper. Res. 53(1): 175-197 (1994) - [j23]Marvin K. Nakayama, Ambuj Goyal, Peter W. Glynn:
Likelihood Ratio Sensitivity Analysis for Markovian Models of Highly Dependable Systems. Oper. Res. 42(1): 137-157 (1994) - [j22]Peter W. Glynn, Ward Whitt:
Large deviations behavior of counting processes and their inverses. Queueing Syst. Theory Appl. 17(1-2): 107-128 (1994) - [c16]Sigrún Andradóttir, James M. Calvin, Peter W. Glynn:
Increasing the frequency of regeneration for Markov processes. WSC 1994: 320-323 - 1993
- [j21]Peter W. Glynn, Benjamin Melamed, Ward Whitt:
Estimating Customer and Time Averages. Oper. Res. 41(2): 400-408 (1993) - [c15]Victor F. Nicola, Perwez Shahabuddin, Philip Heidelberger, Peter W. Glynn:
Fast Simulation of Steady-State Availability in Non-Markovian Highly Dependable Systems. FTCS 1993: 38-47 - [c14]Peter W. Glynn, Philip Heidelberger, Victor F. Nicola, Perwez Shahabuddin:
Efficient estimation of the mean time between failures in non-regenerative dependability models. WSC 1993: 311-316 - 1992
- [j20]Peter W. Glynn, Philip Heidelberger:
Jackknifing under a Budget Constraint. INFORMS J. Comput. 4(3): 226-234 (1992) - [j19]Peter W. Glynn, Ward Whitt:
The Asymptotic Efficiency of Simulation Estimators. Oper. Res. 40(3): 505-520 (1992) - [j18]Peter W. Glynn, Philip Heidelberger:
Analysis of Initial Transient Deletion for Parallel Steady-State Simulations. SIAM J. Sci. Comput. 13(4): 904-922 (1992) - [j17]Ambuj Goyal, Perwez Shahabuddin, Philip Heidelberger, Victor F. Nicola, Peter W. Glynn:
A Unified Framework for Simulating Markovian Models of Highly Dependable Systems. IEEE Trans. Computers 41(1): 36-51 (1992) - [j16]Søren Asmussen, Peter W. Glynn, Hermann Thorisson:
Stationarity Detection in the Initial Transient Problem. ACM Trans. Model. Comput. Simul. 2(2): 130-157 (1992) - [c13]Paul Glasserman, Peter W. Glynn:
Gradient estimation for regenerative processes. WSC 1992: 280-288 - 1991
- [j15]Peter W. Glynn, Ward Whitt:
Estimating the asymptotic variance with batch means. Oper. Res. Lett. 10(8): 431-435 (1991) - [j14]Peter W. Glynn, Philip Heidelberger:
Analysis of initial transient deletion for replicated steady-state simulations. Oper. Res. Lett. 10(8): 437-443 (1991) - [j13]Peter W. Glynn, Philip Heidelberger:
Analysis of Parallel Replicated Simulations Under a Completion Time Constraint. ACM Trans. Model. Comput. Simul. 1(1): 3-23 (1991) - [c12]Peter W. Glynn, Pierre L'Ecuyer, Michel Adès:
Gradient estimation for ratios. WSC 1991: 986-994 - 1990
- [j12]Peter W. Glynn:
Likelihood Ratio Gradient Estimation for Stochastic Systems. Commun. ACM 33(10): 75-84 (1990) - [j11]Peter W. Glynn, Philip Heidelberger:
Bias Properties of Budget Constrained Simulations. Oper. Res. 38(5): 801-814 (1990) - [j10]Peter W. Glynn, Donald L. Iglehart:
Simulation Output Analysis Using Standardized Time Series. Math. Oper. Res. 15(1): 1-16 (1990)
1980 – 1989
- 1989
- [j9]Peter W. Glynn, Ward Whitt:
Indirect Estimation Via L = λW. Oper. Res. 37(1): 82-103 (1989) - [j8]Peter W. Glynn, Ward Whitt:
Extensions of the Queueing Relations L = λW and H = λG. Oper. Res. 37(4): 634-644 (1989) - [j7]Peter W. Glynn:
A GSMP formalism for discrete event systems. Proc. IEEE 77(1): 14-23 (1989) - [c11]Peter W. Glynn:
Optimization of stochastic systems via simulation. WSC 1989: 90-105 - [c10]Peter W. Glynn:
Likelihood ratio derviative estimators for stochastic systems. WSC 1989: 374-380 - 1988
- [j6]Bennett L. Fox, Peter W. Glynn:
Computing Poisson Probabilities. Commun. ACM 31(4): 440-445 (1988) - [j5]Peter W. Glynn, Ward Whitt:
Ordinary CLT and WLLN Versions of L = λW. Math. Oper. Res. 13(4): 674-692 (1988) - [j4]Peter W. Glynn, Ward Whitt:
An LIL Version of L = λW. Math. Oper. Res. 13(4): 693-710 (1988) - [j3]Peter W. Glynn, Donald L. Iglehart:
Simulation Methods for Queues: An Overview. Queueing Syst. Theory Appl. 3(3): 221-255 (1988) - [c9]Perwez Shahabuddin, Victor F. Nicola, Philip Heidelberger, Ambuj Goyal, Peter W. Glynn:
Variance reduction in mean time to failure simulations. WSC 1988: 491-499 - 1987
- [c8]Peter W. Glynn, Donald L. Iglehart:
A new initial bias deletion rule. WSC 1987: 318-319 - [c7]Peter W. Glynn:
Likelilood ratio gradient estimation: an overview. WSC 1987: 366-375 - 1986
- [j2]Peter W. Glynn, Ward Whitt:
A Central-Limit-Theorem Version of L = lambda W. Queueing Syst. Theory Appl. 1(2): 191-215 (1986) - [j1]Peter W. Glynn, Ward Whitt:
Sufficient Conditions for Functional-Limit-Theorem Versions of L = lambda W. Queueing Syst. Theory Appl. 1(3): 279-287 (1986) - [c6]Peter W. Glynn:
Optimization of stochastic systems. WSC 1986: 52-59 - [c5]Peter W. Glynn:
Stochastic approximation for Monte Carlo optimization. WSC 1986: 356-365 - [c4]Peter W. Glynn:
Problems in Bayesian analysis of stochastic simulation. WSC 1986: 376-379 - 1985
- [c3]Peter W. Glynn, Donald L. Iglehart:
Large-sample theory for standardized time series: an overview. WSC 1985: 129-134 - 1983
- [c2]Peter W. Glynn:
On the role of generalized semi-Markov processes in simulation output analysis. WSC 1983: 39-44 - 1982
- [c1]Peter W. Glynn:
Coverage error for confidence intervals arising in simulation output analysis. WSC 1982: 369-375
Coauthor Index
aka: Nick Bambos
aka: José H. Blanchet
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