Raghu Pasupathy
Decision Sciences · Purdue University West Lafayette
Publications
107
Citations
1,645
Est. group size
—
Recurring co-author estimate
Active years
24
Publishing since 2003
Raghu Pasupathy works on stochastic optimization and simulation methods, developing algorithms and statistical tools for making decisions under uncertainty when only noisy simulated or sampled data are available. His work spans optimization theory (e.g., trust-region and Frank-Wolfe methods for stochastic problems), statistical inference from simulation output (batching, confidence intervals, uncertainty quantification), and applications to areas like risk estimation and stochastic programming. This research is largely mathematical and methodological, aimed at improving the reliability and efficiency of algorithms used in simulation-based decision making.
Publication output has fluctuated over the past decade with a dip around 2020-2021, followed by a moderate rebound in recent years, averaging about 4 publications per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Complexity of Zeroth- and First-Order Stochastic Trust-Region Algorithms
SIAM Journal on Optimization · 2025
- Optimal Survey Design for Private Mean Estimation
arXiv (Cornell University) · 2025
- Deterministic and Stochastic Frank–Wolfe Recursion on Probability Spaces
Mathematics of Operations Research · 2025
- Drift Optimization of Regulated Stochastic Models Using Sample Average Approximation
arXiv (Cornell University) · 2025
- Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation
ACM Transactions on Modeling and Computer Simulation · 2024
- A Retrospective Approximation Approach for Smooth Stochastic Optimization
Mathematics of Operations Research · 2024
- Uncertainty quantification using simulation output: batching as an inferential device
Journal of Simulation · 2024
- Introduction to Optimal Transport
2024
- Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms
arXiv (Cornell University) · 2024
- Deterministic and Stochastic Frank-Wolfe Recursion on Probability Spaces
arXiv (Cornell University) · 2024
- On The Global Convergence Of Online RLHF With Neural Parametrization
arXiv (Cornell University) · 2024
- Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation
arXiv (Cornell University) · 2023
- Simulation-Estimator Inference
2023
- Uncertainty Quantification using Simulation Output: Batching as an Inferential Device
arXiv (Cornell University) · 2023
- Bootstrapping And Batching For Output Analysis
2023
- arXiv (Cornell University)×15
- SIAM Journal on Optimization×4
- 2022 Winter Simulation Conference (WSC)×3
- Journal of Simulation×2
- Mathematics of Operations Research×2
- Bruce W. Schmeiser
Decision Sciences · Purdue University West Lafayette
- Susan R. Hunter
Decision Sciences · Purdue University West Lafayette
- Young‐Jun Son
Decision Sciences · Purdue University West Lafayette
- Sam Davanloo Tajbakhsh
Mathematics · The Ohio State University
- Abolfazl Hashemi
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile