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ORCIDSoroosh Shafiee
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- affiliation: Cornell University, Ithaca, NY, USA
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2020 – today
- 2024
[j8]Soroosh Shafiee
, Fatma Kilinç-Karzan:
Constrained optimization of rank-one functions with indicator variables. Math. Program. 208(1): 533-579 (2024)- [c6]Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee:
Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract). COLT 2024: 4007-4008 - [i14]Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee:
Robust Distribution Learning with Local and Global Adversarial Corruptions. CoRR abs/2406.06509 (2024) - [i13]Daniel Kuhn, Soroosh Shafiee, Wolfram Wiesemann:
Distributionally Robust Optimization. CoRR abs/2411.02549 (2024) - 2023
- [j7]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani:
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. Math. Oper. Res. 48(1): 1-37 (2023) - [j6]Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn:
Semi-discrete optimal transport: hardness, regularization and numerical solution. Math. Program. 199(1): 1033-1106 (2023) - [j5]Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan:
Discrete Optimal Transport with Independent Marginals is #P-Hard. SIAM J. Optim. 33(2): 589-614 (2023) - [c5]Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee:
Outlier-Robust Wasserstein DRO. NeurIPS 2023 - [i12]Soroosh Shafieezadeh-Abadeh, Liviu Aolaritei, Florian Dörfler, Daniel Kuhn:
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization. CoRR abs/2303.03900 (2023) - [i11]Soroosh Shafieezadeh-Abadeh, Fatma Kilinç-Karzan:
Constrained Optimization of Rank-One Functions with Indicator Variables. CoRR abs/2303.18158 (2023) - [i10]Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee:
Outlier-Robust Wasserstein DRO. CoRR abs/2311.05573 (2023) - 2022
- [i9]Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan:
Discrete Optimal Transport with Independent Marginals is #P-Hard. CoRR abs/2203.01161 (2022) - [i8]Liviu Aolaritei, Soroosh Shafieezadeh-Abadeh, Florian Dörfler:
The Performance of Wasserstein Distributionally Robust M-Estimators in High Dimensions. CoRR abs/2206.13269 (2022) - 2021
- [i7]Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn:
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution. CoRR abs/2103.06263 (2021)
2010 – 2019
- 2019
- [j4]Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani:
Regularization via Mass Transportation. J. Mach. Learn. Res. 20: 103:1-103:68 (2019) - [c4]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. NeurIPS 2019: 13920-13931 - [c3]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. NeurIPS 2019: 15846-15856 - [i6]Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh:
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. CoRR abs/1908.08729 (2019) - [i5]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. CoRR abs/1910.07817 (2019) - [i4]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. CoRR abs/1910.10583 (2019) - [i3]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani:
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. CoRR abs/1911.03539 (2019) - 2018
- [j3]Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani Adiwena Hanasusanto, Daniel Kuhn:
Data-driven inverse optimization with imperfect information. Math. Program. 167(1): 191-234 (2018) - [c2]Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani:
Wasserstein Distributionally Robust Kalman Filtering. NeurIPS 2018: 8483-8492 - [i2]Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani:
Wasserstein Distributionally Robust Kalman Filtering. CoRR abs/1809.08830 (2018) - 2017
- [i1]Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani:
Regularization via Mass Transportation. CoRR abs/1710.10016 (2017) - 2016
- [j2]Soroosh Shafieezadeh-Abadeh, Ahmad Kalhor:
Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method. Evol. Syst. 7(1): 1-14 (2016) - 2015
- [c1]Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn:
Distributionally Robust Logistic Regression. NIPS 2015: 1576-1584 - 2013
- [j1]Mahdi Khoramshahi, Hamed Jalaly Bidgoly, Soroosh Shafiee, Ali Asaei, Auke Jan Ijspeert, Majid Nili Ahmadabadi:
Piecewise linear spine for speed-energy efficiency trade-off in quadruped robots. Robotics Auton. Syst. 61(12): 1350-1359 (2013)
Coauthor Index
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