Soroosh Shafiee

According to our database, Soroosh Shafiee authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Constrained optimization of rank-one functions with indicator variables.

Soroosh Shafiee, Fatma Kilinç-Karzan

Math. Program., November, 2024

Robust Distribution Learning with Local and Global Adversarial Corruptions.

Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee

CoRR, 2024

Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract).

Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Semi-discrete optimal transport: hardness, regularization and numerical solution.

Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn

Math. Program., May, 2023

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization.

Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani

Math. Oper. Res., February, 2023

Discrete Optimal Transport with Independent Marginals is #P-Hard.

Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan

SIAM J. Optim., 2023

New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization.

Soroosh Shafieezadeh-Abadeh, Liviu Aolaritei, Florian Dörfler, Daniel Kuhn

CoRR, 2023

Outlier-Robust Wasserstein DRO.

Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

The Performance of Wasserstein Distributionally Robust M-Estimators in High Dimensions.

Liviu Aolaritei, Soroosh Shafieezadeh-Abadeh, Florian Dörfler

CoRR, 2022

2019

Regularization via Mass Transportation.

Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani

J. Mach. Learn. Res., 2019

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning.

Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh

CoRR, 2019

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation.

Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization.

Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Data-driven inverse optimization with imperfect information.

Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani Adiwena Hanasusanto, Daniel Kuhn

Math. Program., 2018

Wasserstein Distributionally Robust Kalman Filtering.

Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method.

Soroosh Shafieezadeh-Abadeh, Ahmad Kalhor

Evol. Syst., 2016

2015

Distributionally Robust Logistic Regression.

Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013

Piecewise linear spine for speed-energy efficiency trade-off in quadruped robots.

Mahdi Khoramshahi, Hamed Jalaly Bidgoly, Soroosh Shafiee, Ali Asaei, Auke Jan Ijspeert, Majid Nili Ahmadabadi

Robotics Auton. Syst., 2013