default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPeter W. Glynn
Person information
- affiliation: Stanford University, USA
- award (2010): John von Neumann Theory Prize
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j106]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)- [j105]Abhishek Gupta, Rahul Jain, Peter W. Glynn:
Probabilistic Contraction Analysis of Iterated Random Operators. IEEE Trans. Autom. Control. 69(9): 5947-5962 (2024) - [j104]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) - [c106]Shengbo Wang, José H. Blanchet, Peter W. Glynn:
Optimal Sample Complexity for Average Reward Markov Decision Processes. ICLR 2024 - [c105]Yanlin Qu, Jose H. Blanchet, Peter W. Glynn:
Deep Learning for Computing Convergence Rates of Markov Chains. NeurIPS 2024 - [c104]Shengbo Wang, Jose H. Blanchet, Peter W. Glynn:
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations. NeurIPS 2024 - [i32]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) - [i31]Guanyang Wang, Jose H. Blanchet, Peter W. Glynn:
When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones? CoRR abs/2404.01431 (2024) - [i30]Yanlin Qu, Jose H. Blanchet, Peter W. Glynn:
Deep Learning for Computing Convergence Rates of Markov Chains. CoRR abs/2405.20435 (2024) - [i29]Haoran Xu, Peter W. Glynn, Yinyu Ye:
Online Linear Programming with Batching. CoRR abs/2408.00310 (2024) - 2023
- [j103]Eunji Lim, Peter W. Glynn:
Simulation-Based Prediction. Oper. Res. 71(1): 47-60 (2023) - [j102]Chang-Han Rhee, Peter W. Glynn:
Lyapunov Conditions for Differentiability of Markov Chain Expectations. Math. Oper. Res. 48(4): 2019-2042 (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
Nicholas Bambos
aka: Nick Bambos
aka: Nick Bambos
Jose H. Blanchet
aka: José H. Blanchet
aka: José H. Blanchet
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-15 01:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
