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2020 – today
- 2024
[i1]Yunsoo Ha, Sara Shashaani, Raghu Pasupathy:
Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms. CoRR abs/2405.20116 (2024)- 2023
- [j4]David J. Eckman, Shane G. Henderson
, Sara Shashaani:
Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms. INFORMS J. Comput. 35(2): 350-367 (2023) - [j3]David J. Eckman, Shane G. Henderson, Sara Shashaani:
SimOpt: A Testbed for Simulation-Optimization Experiments. INFORMS J. Comput. 35(2): 495-508 (2023) - [c13]Kimia Vahdat, Sara Shashaani:
Adaptive Ranking and Selection Based Genetic Algorithms for Data-Driven Problems. WSC 2023: 3424-3435 - [c12]Pranav Jain, Sara Shashaani:
Dynamic Stratification and Post-Stratified Adaptive Sampling for Simulation Optimization. WSC 2023: 3460-3471 - [c11]Yunsoo Ha, Sara Shashaani:
Towards Greener Stochastic Derivative-Free Optimization with Trust Regions and Adaptive Sampling. WSC 2023: 3508-3519 - [c10]David J. Eckman, Shane G. Henderson, Sara Shashaani:
Stochastic Constraints: How Feasible Is Feasible? WSC 2023: 3589-3600 - 2022
- [c9]Sara Shashaani, Kimia Vahdat:
Monte Carlo Based Machine Learning. OR 2022: 625-631 - [c8]Pranav Jain, Eunshin Byon, Sara Shashaani:
Robust Simulation Optimization with Stratification. WSC 2022: 1-12 - 2021
- [c7]Yunsoo Ha, Sara Shashaani, Quoc Tran-Dinh:
Improved Complexity Of Trust-Region Optimization For Zeroth-Order Stochastic Oracles with Adaptive Sampling. WSC 2021: 1-12 - [c6]Kimia Vahdat, Sara Shashaani:
Non-Parametric Uncertainty Bias and Variance Estimation via Nested Bootstrapping and Influence Functions. WSC 2021: 1-12 - 2020
- [c5]Atchyuta Bharadwaj Manda, Karthick Gopalswamy, Sara Shashaani, Reha Uzsoy:
A Simulation Optimization Approach for Managing Product Transitions in Multistage Production Lines. WSC 2020: 1730-1741 - [c4]Kimia Vahdat, Sara Shashaani:
Simulation Optimization Based Feature Selection, a Study on Data-Driven Optimization with Input Uncertainty. WSC 2020: 2149-2160
2010 – 2019
- 2019
- [c3]Daniel Vasquez, Raghu Pasupathy, Sara Shashaani:
Astro for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments. WSC 2019: 3563-3574 - 2018
- [j2]Sara Shashaani, Seth D. Guikema, Chengwei Zhai, Jordan V. Pino, Steven M. Quiring:
Multi-Stage Prediction for Zero-Inflated Hurricane Induced Power Outages. IEEE Access 6: 62432-62449 (2018) - [j1]Sara Shashaani, Fatemeh Sadat Hashemi, Raghu Pasupathy:
ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization. SIAM J. Optim. 28(4): 3145-3176 (2018) - 2016
- [c2]Sara Shashaani, Susan R. Hunter, Raghu Pasupathy:
ASTRO-DF: Adaptive sampling trust-region optimization algorithms, heuristics, and numerical experience. WSC 2016: 554-565 - 2012
- [c1]Ines V. Arnolds, Stefan Nickel, Sara Shashaani, Christian Wernz:
Using simulation in hospital layout planning. WSC 2012: 395:1-395:2
Coauthor Index
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