Soroosh Shafiee
Soroosh Shafiee
Other namesSoroosh Shafieezadeh-Abadeh
Assistant Professor, Cornell University
Verified email at - Homepage
Cited by
Cited by
Wasserstein distributionally robust optimization: Theory and applications in machine learning
D Kuhn, PM Esfahani, VA Nguyen, S Shafieezadeh-Abadeh
Operations research & management science in the age of analytics, 130-166, 2019
Distributionally Robust Logistic Regression
S Shafieezadeh-Abadeh, PM Esfahani, D Kuhn
Advances in Neural Information Processing Systems, 2015
Regularization via mass transportation
S Shafieezadeh-Abadeh, D Kuhn, PM Esfahani
Journal of Machine Learning Research 20 (103), 1-68, 2019
Data-driven inverse optimization with imperfect information
P Mohajerin Esfahani, S Shafieezadeh-Abadeh, GA Hanasusanto, ...
Mathematical Programming 167, 191-234, 2018
Wasserstein distributionally robust Kalman filtering
S Shafieezadeh Abadeh, VA Nguyen, D Kuhn, PM Mohajerin Esfahani
Advances in Neural Information Processing Systems 31, 8474-8483, 2018
Piecewise linear spine for speed–energy efficiency trade-off in quadruped robots
M Khoramshahi, HJ Bidgoly, S Shafiee, A Asaei, AJ Ijspeert, ...
Robotics and Autonomous Systems 61 (12), 1350-1359, 2013
Bridging Bayesian and minimax mean square error estimation via Wasserstein distributionally robust optimization
VA Nguyen, S Shafieezadeh-Abadeh, D Kuhn, P Mohajerin Esfahani
Mathematics of Operations Research 48 (1), 1-37, 2023
Optimistic distributionally robust optimization for nonparametric likelihood approximation
VA Nguyen, S Shafieezadeh-Abadeh, MC Yue, D Kuhn, W Wiesemann
Advances in Neural Information Processing Systems, 15846-15856, 2019
Calculating optimistic likelihoods using (geodesically) convex optimization
VA Nguyen, S Shafieezadeh-Abadeh, MC Yue, D Kuhn, W Wiesemann
Advances in Neural Information Processing Systems, 13920-13931, 2019
Evolving Takagi–Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method
S Shafieezadeh-Abadeh, A Kalhor
Evolving Systems 7, 1-14, 2016
Semi-discrete optimal transport: Hardness, regularization and numerical solution
B Taşkesen, S Shafieezadeh-Abadeh, D Kuhn
Mathematical Programming 199 (1-2), 1033-1106, 2023
New perspectives on regularization and computation in optimal transport-based distributionally robust optimization
S Shafieezadeh-Abadeh, L Aolaritei, F Dörfler, D Kuhn
arXiv preprint arXiv:2303.03900, 2023
Mean-covariance robust risk measurement
VA Nguyen, SS Abadeh, D Filipović, D Kuhn
arXiv preprint arXiv:2112.09959, 2021
Conic mixed-binary sets: Convex hull characterizations and applications
F Kılınç-Karzan, S Küçükyavuz, D Lee, S Shafieezadeh-Abadeh
Operations Research, 2023
The performance of Wasserstein distributionally robust M-estimators in high dimensions
L Aolaritei, S Shafieezadeh-Abadeh, F Dörfler
arXiv preprint arXiv:2206.13269, 2022
Wasserstein distributionally robust learning
S Shafieezadeh Abadeh
EPFL, 2020
Outlier-Robust Wasserstein DRO
S Nietert, Z Goldfeld, S Shafiee
Advances in Neural Information Processing Systems 36, 2024
Discrete Optimal Transport with Independent Marginals is# P-Hard
B Taşkesen, S Shafieezadeh-Abadeh, D Kuhn, K Natarajan
SIAM Journal on Optimization 33 (2), 589-614, 2023
Constrained optimization of rank-one functions with indicator variables
S Shafiee, F Kılınç-Karzan
Mathematical Programming, 1-47, 2024
A Robust Optimization Approach to Network Control Using Local Information Exchange
G Darivianakis, A Georghiou, S Shafieezadeh-Abadeh, J Lygeros
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