Issues on simulation and optimization II: some issues in multivariate stochastic root finding. - Raghu Pasupathy; Bruce W. Schmeiser (WSC, 2003)

Queueing network simulation analysis: queueing-network stability: simulation-based checking. - Jamie R. Wieland; Raghu Pasupathy; Bruce W. Schmeiser (WSC, 2003)

On choosing parameters in retrospective-approximation algorithms for simulation-optimization. - Raghu Pasupathy (WSC, 2006)

A testbed of simulation-optimization problems. - Raghu Pasupathy; Shane G. Henderson (WSC, 2006)

A method for fast generation of bivariate Poisson random vectors. - Kaeyoung Shin; Raghu Pasupathy (WSC, 2007)

Optimal Reconstruction Periods for Stochastically Deteriorating Infrastructures. - Raghu Pasupathy; Samuel Labi; Kumares C. Sinha (Comput. Aided Civ. Infrastructure Eng., 2007)

Retrospective-approximation algorithms for the multidimensional stochastic root-finding problem. - Raghu Pasupathy; Bruce W. Schmeiser (ACM Trans. Model. Comput. Simul., 2009)

Large-deviation sampling laws for constrained simulation optimization on finite sets. - Susan R. Hunter; Raghu Pasupathy (WSC, 2010)

The initial transient in steady-state point estimation: Contexts, a bibliography, the mse criterion, and the MSER statistic. - Raghu Pasupathy; Bruce W. Schmeiser (WSC, 2010)

Root finding via DARTS - Dynamic Adaptive Random Target Shooting. - Raghu Pasupathy; Bruce W. Schmeiser (WSC, 2010)

Selecting small quantiles. - Raghu Pasupathy; Roberto Szechtman; Enver Yücesan (WSC, 2010)

An Algorithm for Fast Generation of Bivariate Poisson Random Vectors. - Kaeyoung Shin; Raghu Pasupathy (INFORMS J. Comput., 2010)

On Choosing Parameters in Retrospective-Approximation Algorithms for Stochastic Root Finding and Simulation Optimization. - Raghu Pasupathy (Oper. Res., 2010)

On interior-point based retrospective approximation methods for solving two-stage stochastic linear programs. - Soumyadip Ghosh; Raghu Pasupathy (WSC, 2011)

Optimal sampling laws for constrained simulation optimization on finite sets: the bivariate normal case. - Susan R. Hunter; Chun-Hung Chen; Raghu Pasupathy; Nugroho Artadi Pujowidianto; Loo Hay Lee; Chee Meng Yap (WSC, 2011)

An introspective on the retrospective-approximation paradigm. - Raghu Pasupathy (WSC, 2011)

SimOpt: a library of simulation optimization problems. - Raghu Pasupathy; Shane G. Henderson (WSC, 2011)

The stochastic root-finding problem: Overview, solutions, and open questions. - Raghu Pasupathy; Sujin Kim (ACM Trans. Model. Comput. Simul., 2011)

Averaging and derivative estimation within stochastic approximation algorithms. - Fatemeh Sadat Hashemi; Raghu Pasupathy (WSC, 2012)

Closed-form sampling laws for stochastically constrained simulation optimization on large finite sets. - Nugroho Artadi Pujowidianto; Susan R. Hunter; Raghu Pasupathy; Loo Hay Lee; Chun-Hung Chen (WSC, 2012)

C-NORTA: A Rejection Procedure for Sampling from the Tail of Bivariate NORTA Distributions. - Soumyadip Ghosh; Raghu Pasupathy (INFORMS J. Comput., 2012)

Low-storage online estimators for quantiles and densities. - Soumyadip Ghosh; Raghu Pasupathy (WSC, 2013)

R-SPLINE for local integer-ordered simulation optimization problems with stochastic constraints. - Kalyani Nagaraj; Raghu Pasupathy (WSC, 2013)

Optimal Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets. - Susan R. Hunter; Raghu Pasupathy (INFORMS J. Comput., 2013)

Integer-Ordered Simulation Optimization using R-SPLINE: Retrospective Search with Piecewise-Linear Interpolation and Neighborhood Enumeration. - Honggang Wang; Raghu Pasupathy; Bruce W. Schmeiser (ACM Trans. Model. Comput. Simul., 2013)

On adaptive sampling rules for stochastic recursions. - Fatemeh Sadat Hashemi; Soumyadip Ghosh; Raghu Pasupathy (WSC, 2014)

Stochastically Constrained Ranking and Selection via SCORE. - Raghu Pasupathy; Susan R. Hunter; Nugroho Artadi Pujowidianto; Loo Hay Lee; Chun-Hung Chen (ACM Trans. Model. Comput. Simul., 2014)

Multi-objective simulation optimization on finite sets: optimal allocation via scalarization. - Guy Feldman; Susan R. Hunter; Raghu Pasupathy (WSC, 2015)

Modeling dependence in simulation input: the case for copulas. - Raghu Pasupathy; Kalyani Nagaraj (WSC, 2015)

A Stochastic Dilemma Zone Protection Algorithm Based on the Vehicles' Trajectories. - Pengfei Li; Montasir Abbas; Raghu Pasupathy (J. Intell. Transp. Syst., 2015)

ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience. - Sara Shashaani; Susan R. Hunter; Raghu Pasupathy (WSC, 2016)

Phantom pareto systems for multi-objective ranking and selection. - Eric A. Applegate; Susan R. Hunter; Guy Feldman; Raghu Pasupathy (WSC, 2017)

Optimal Allocations for sample Average Approximation. - Prateek Jaiswal; Harsha Honnappa; Raghu Pasupathy (WSC, 2018)

Recent Trends in stochastic Gradient Descent for Machine Learning and Big Data. - David Newton; Raghu Pasupathy; Farzad Yousefian (WSC, 2018)

On Sampling Rates in Simulation-Based Recursions. - Raghu Pasupathy; Peter W. Glynn; Soumyadip Ghosh; Fatemeh Sadat Hashemi (SIAM J. Optim., 2018)

ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization. - Sara Shashaani; Fatemeh Sadat Hashemi; Raghu Pasupathy (SIAM J. Optim., 2018)

Redesigning a Testbed of Simulation-Optimization Problems and Solvers for Experimental Comparisons. - David J. Eckman; Shane G. Henderson; Raghu Pasupathy (WSC, 2019)

The Number of Random Restarts Required to Identify all Solutions to a Nonlinear System: Applications to Global Stochastic Optimization. - Raghu Pasupathy (WSC, 2019)

Astro for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments. - Daniel Vasquez; Raghu Pasupathy; Sara Shashaani (WSC, 2019)

Risk-Efficient Sequential Simulation Estimators. - Raghu Pasupathy; Yingchieh Yeh (WSC, 2020)

Adaptive Sequential SAA for Solving Two-stage Stochastic Linear Programs. - Raghu Pasupathy; Yongjia Song (CoRR, 2020)

Multi-objective ranking and selection: Optimal sampling laws and tractable approximations via SCORE. - Eric A. Applegate; Guy Feldman; Susan R. Hunter; Raghu Pasupathy (J. Simulation, 2020)

Adaptive Sequential Sample Average Approximation for Solving Two-Stage Stochastic Linear Programs. - Raghu Pasupathy; Yongjia Song (SIAM J. Optim., 2021)

Central Limit Theorems for Constructing Confidence Regions in Strictly Convex Multi-Objective Simulation Optimization. - Susan R. Hunter; Raghu Pasupathy (WSC, 2022)

Overlapping Batch Confidence Regions on the Steady-State Quantile Vector. - Raghu Pasupathy; Dashi I. Singham; Yingchieh Yeh (WSC, 2022)

Sample Average Approximation Over Function Spaces: Statistical Consistency and Rate of Convergence. - Zihe Zhou; Harsha Honnappa; Raghu Pasupathy (WSC, 2022)

Adaptive Sampling line search for local stochastic optimization with integer variables. - Prasanna K. Ragavan; Susan R. Hunter; Raghu Pasupathy; Michael R. Taaffe (Math. Program., 2022)

Bootstrapping And Batching For Output Analysis. - Raghu Pasupathy (WSC, 2023)

Introduction to Optimal Transport. - Ilya O. Ryzhov; Raghu Pasupathy; Harsha Honnappa (WSC, 2024)

Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms. - Yunsoo Ha; Sara Shashaani; Raghu Pasupathy (CoRR, 2024)

Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation. - Ziwei Su; Raghu Pasupathy; Yingchieh Yeh; Peter W. Glynn (ACM Trans. Model. Comput. Simul., 2024)

Optimal Survey Design for Private Mean Estimation. - Yu-Wei Chen; Raghu Pasupathy; Jordan A. Awan (CoRR, 2025)