Sara Shashaani

31 papers Misc 17Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Root Finding and Metamodeling for Rapid and Robust Computer Model Calibration. CoRR Yongseok Jeon, Sara Shashaani
2025	J	`jnl`	Complexity of Zeroth- and First-Order Stochastic Trust-Region Algorithms. SIAM J. Optim. Yunsoo Ha, Sara Shashaani, Raghu Pasupathy
2025	J	`jnl`	Simulation model calibration with dynamic stratification and adaptive sampling. J. Simulation Pranav Jain, Sara Shashaani, Eunshin Byon
2025	J	`jnl`	Strata Design for Variance Reduction in Stochastic Simulation. Technometrics Jaeshin Park, Eunshin Byon, Young Myoung Ko, Sara Shashaani
2025	J	`jnl`	Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms. INFORMS J. Comput. Yunsoo Ha, Sara Shashaani, Matt Menickelly
2025	J	`jnl`	Uncertainty quantification using simulation output: batching as an inferential device. J. Simulation Yongseok Jeon, Yi Chu, Raghu Pasupathy, Sara Shashaani
2024	J	`jnl`	Building Trees for Probabilistic Prediction via Scoring Rules. Technometrics Sara Shashaani, Özge Sürer, Matthew Plumlee, Seth D. Guikema
2024	Misc	`conf`	Calibrating Digital Twins via Bayesian Optimization with a Root Finding Strategy. WSC Yongseok Jeon, Sara Shashaani
2024	Misc	`conf`	Comparative Analysis of Distance Metrics for Distributionally Robust Optimization in Queuing Systems: Wasserstein vs. Kingman. WSC Hyung-Khee Eun, Sara Shashaani, Russell R. Barton
2024	J	`jnl`	Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms. CoRR Yunsoo Ha, Sara Shashaani, Raghu Pasupathy
2024	J	`jnl`	Data Farming the Parameters of Simulation-Optimization Solvers. ACM Trans. Model. Comput. Simul. Sara Shashaani, David J. Eckman, Susan M. Sanchez
2024	Misc	`conf`	Repeatedly Solving Similar Simulation-Optimization Problems: Insights from Data Farming. WSC Nicole Felice, Sara Shashaani, David J. Eckman, Susan M. Sanchez
2024	Misc	`conf`	Robust Screening and Partitioning for Feature Selection: A Binary Simulation Optimization Problem. WSC Ethan Houser, Sara Shashaani
2024	Misc	`conf`	Simulation Optimization: An Introductory Tutorial on Methodology. WSC Sara Shashaani
2023	Misc	`conf`	Adaptive Ranking and Selection Based Genetic Algorithms for Data-Driven Problems. WSC Kimia Vahdat, Sara Shashaani
2023	J	`jnl`	Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms. INFORMS J. Comput. David J. Eckman, Shane G. Henderson, Sara Shashaani
2023	Misc	`conf`	Dynamic Stratification and Post-Stratified Adaptive Sampling for Simulation Optimization. WSC Pranav Jain, Sara Shashaani
2023	J	`jnl`	SimOpt: A Testbed for Simulation-Optimization Experiments. INFORMS J. Comput. David J. Eckman, Shane G. Henderson, Sara Shashaani
2023	Misc	`conf`	Stochastic Constraints: How Feasible Is Feasible? WSC David J. Eckman, Shane G. Henderson, Sara Shashaani
2023	Misc	`conf`	Towards Greener Stochastic Derivative-Free Optimization with Trust Regions and Adaptive Sampling. WSC Yunsoo Ha, Sara Shashaani
2022	—	`conf`	Monte Carlo Based Machine Learning. OR Sara Shashaani, Kimia Vahdat
2022	Misc	`conf`	Robust Simulation Optimization with Stratification. WSC Pranav Jain, Eunshin Byon, Sara Shashaani
2021	Misc	`conf`	Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling. WSC Yunsoo Ha, Sara Shashaani, Quoc Tran-Dinh
2021	Misc	`conf`	Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions. WSC Kimia Vahdat, Sara Shashaani
2020	Misc	`conf`	A Simulation Optimization Approach for Managing Product Transitions in Multistage Production Lines. WSC Atchyuta Bharadwaj Manda, Karthick Gopalswamy, Sara Shashaani, Reha Uzsoy
2020	Misc	`conf`	Simulation Optimization Based Feature Selection, a Study on Data-Driven Optimization with Input Uncertainty. WSC Kimia Vahdat, Sara Shashaani
2019	Misc	`conf`	Astro for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments. WSC Daniel Vasquez, Raghu Pasupathy, Sara Shashaani
2018	J	`jnl`	ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization. SIAM J. Optim. Sara Shashaani, Fatemeh Sadat Hashemi, Raghu Pasupathy
2018	J	`jnl`	Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages. IEEE Access Sara Shashaani, Seth D. Guikema, Chengwei Zhai, Jordan V. Pino, Steven M. Quiring
2016	Misc	`conf`	ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience. WSC Sara Shashaani, Susan R. Hunter, Raghu Pasupathy
2012	Misc	`conf`	Using simulation in hospital layout planning. WSC Ines V. Arnolds, Stefan Nickel, Sara Shashaani, Christian Wernz