Soroosh Shafiee

According to our database, Soroosh Shafiee authored at least 27 papers between 2013 and 2026.

Collaborative distances:

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

2026

GPU-friendly and Linearly Convergent First-order Methods for Certifying Optimal k-sparse GLMs.

Jiachang Liu, Andrea Lodi, Soroosh Shafiee

CoRR, March, 2026

Wasserstein Distributionally Robust Online Learning.

Guixian Chen, Salar Fattahi, Soroosh Shafiee

CoRR, February, 2026

Nash Equilibria, Regularization, and Computation in Optimal Transport-Based Distributionally Robust Optimization.

Soroosh Shafiee, Liviu Aolaritei, Florian Dörfler, Daniel Kuhn

Oper. Res., 2026

2025

A Saddle Point Algorithm for Robust Data-Driven Factor Model Problems.

Shabnam Khodakaramzadeh, Soroosh Shafiee, Gabriel de Albuquerque Gleizer, Peyman Mohajerin Esfahani

CoRR, June, 2025

Technical Note - Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications.

Fatma Kilinç-Karzan, Simge Küçükyavuz, Dabeen Lee, Soroosh Shafieezadeh-Abadeh

Oper. Res., 2025

A Robust Optimization Approach to Network Control Using Local Information Exchange.

Georgios Darivianakis, Angelos Georghiou, Soroosh Shafiee, John Lygeros

Oper. Res., 2025

Distributionally robust optimization.

Daniel Kuhn, Soroosh Shafiee, Wolfram Wiesemann

Acta Numer., 2025

Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization.

Khanh-Hung Giang-Tran, Soroosh Shafiee, Nam Ho-Nguyen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Scalable First-order Method for Certifying Optimal k-Sparse GLMs.

Jiachang Liu, Soroosh Shafiee, Andrea Lodi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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