| 2025 | ICML | Optimal Survey Design for Private Mean Estimation. | Yu-Wei Chen, Raghu Pasupathy, Jordan Awan |
| 2025 | WSC | Monte Carlo Digital Twin Worldview: A Proposal. | Susan R. Hunter, Raghu Pasupathy, Bruce W. Schmeiser |
| 2025 | WSC | The Derivative-Free Fully-Corrective Frank-Wolfe Algorithm for Optimizing Functionals Over Probability Spaces. | Di Yu, Shane G. Henderson, Raghu Pasupathy |
| 2024 | WSC | Introduction to Optimal Transport. | Ilya O. Ryzhov, Raghu Pasupathy, Harsha Honnappa |
| 2023 | WSC | Bootstrapping And Batching For Output Analysis. | Raghu Pasupathy |
| 2022 | WSC | Central Limit Theorems for Constructing Confidence Regions in Strictly Convex Multi-Objective Simulation Optimization. | Susan R. Hunter, Raghu Pasupathy |
| 2022 | WSC | Overlapping Batch Confidence Regions on the Steady-State Quantile Vector. | Raghu Pasupathy, Dashi I. Singham, Yingchieh Yeh |
| 2022 | WSC | Sample Average Approximation Over Function Spaces: Statistical Consistency and Rate of Convergence. | Zihe Zhou, Harsha Honnappa, Raghu Pasupathy |
| 2020 | WSC | Risk-Efficient Sequential Simulation Estimators. | Raghu Pasupathy, Yingchieh Yeh |
| 2019 | WSC | Redesigning a Testbed of Simulation-Optimization Problems and Solvers for Experimental Comparisons. | David J. Eckman, Shane G. Henderson, Raghu Pasupathy |
| 2019 | WSC | The Number of Random Restarts Required to Identify all Solutions to a Nonlinear System: Applications to Global Stochastic Optimization. | Raghu Pasupathy |
| 2019 | WSC | Astro for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments. | Daniel Vasquez, Raghu Pasupathy, Sara Shashaani |
| 2018 | WSC | Optimal Allocations for sample Average Approximation. | Prateek Jaiswal, Harsha Honnappa, Raghu Pasupathy |
| 2018 | WSC | Recent Trends in stochastic Gradient Descent for Machine Learning and Big Data. | David Newton, Raghu Pasupathy, Farzad Yousefian |
| 2017 | WSC | Phantom pareto systems for multi-objective ranking and selection. | Eric A. Applegate, Susan R. Hunter, Guy Feldman, Raghu Pasupathy |
| 2016 | WSC | ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience. | Sara Shashaani, Susan R. Hunter, Raghu Pasupathy |
| 2015 | WSC | Multi-objective simulation optimization on finite sets: optimal allocation via scalarization. | Guy Feldman, Susan R. Hunter, Raghu Pasupathy |
| 2015 | WSC | Multi-objective simulation optimization on finite sets: optimal allocation via scalarization. | Guy Feldman, Susan R. Hunter, Raghu Pasupathy |
| 2015 | WSC | Modeling dependence in simulation input: the case for copulas. | Raghu Pasupathy, Kalyani Nagaraj |
| 2014 | WSC | On adaptive sampling rules for stochastic recursions. | Fatemeh Sadat Hashemi, Soumyadip Ghosh, Raghu Pasupathy |
| 2013 | WSC | Low-storage online estimators for quantiles and densities. | Soumyadip Ghosh, Raghu Pasupathy |
| 2013 | WSC | R-SPLINE for local integer-ordered simulation optimization problems with stochastic constraints. | Kalyani Nagaraj, Raghu Pasupathy |
| 2012 | WSC | Averaging and derivative estimation within stochastic approximation algorithms. | Fatemeh Sadat Hashemi, Raghu Pasupathy |
| 2012 | WSC | 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 |
| 2011 | WSC | On interior-point based retrospective approximation methods for solving two-stage stochastic linear programs. | Soumyadip Ghosh, Raghu Pasupathy |
| 2011 | WSC | 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 |
| 2011 | WSC | An introspective on the retrospective-approximation paradigm. | Raghu Pasupathy |
| 2011 | WSC | SimOpt: a library of simulation optimization problems. | Raghu Pasupathy, Shane G. Henderson |
| 2010 | WSC | Large-deviation sampling laws for constrained simulation optimization on finite sets. | Susan R. Hunter, Raghu Pasupathy |
| 2010 | WSC | The initial transient in steady-state point estimation: Contexts, a bibliography, the mse criterion, and the MSER statistic. | Raghu Pasupathy, Bruce W. Schmeiser |
| 2010 | WSC | Root finding via DARTS - Dynamic Adaptive Random Target Shooting. | Raghu Pasupathy, Bruce W. Schmeiser |
| 2010 | WSC | Selecting small quantiles. | Raghu Pasupathy, Roberto Szechtman, Enver Ycesan |
| 2007 | WSC | A method for fast generation of bivariate Poisson random vectors. | Kaeyoung Shin, Raghu Pasupathy |
| 2006 | WSC | On choosing parameters in retrospective-approximation algorithms for simulation-optimization. | Raghu Pasupathy |
| 2006 | WSC | A testbed of simulation-optimization problems. | Raghu Pasupathy, Shane G. Henderson |
| 2004 | WSC | Retrospective Approximation Algorithms for the Multidimensional Stochastic Root-Finding Problem. | Raghu Pasupathy, Bruce W. Schmeiser |
| 2003 | WSC | Issues on simulation and optimization II: some issues in multivariate stochastic root finding. | Raghu Pasupathy, Bruce W. Schmeiser |
| 2003 | WSC | Queueing network simulation analysis: queueing-network stability: simulation-based checking. | Jamie R. Wieland, Raghu Pasupathy, Bruce W. Schmeiser |