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)

Distributionally Robust Logistic Regression. - Soroosh Shafieezadeh-Abadeh; Peyman Mohajerin Esfahani; Daniel Kuhn 001 (NIPS, 2015)

Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method. - Soroosh Shafieezadeh-Abadeh; Ahmad Kalhor (Evol. Syst., 2016)

Wasserstein Distributionally Robust Kalman Filtering. - Soroosh Shafieezadeh-Abadeh; Viet Anh Nguyen; Daniel Kuhn 001; Peyman Mohajerin Esfahani (NeurIPS, 2018)

Data-driven inverse optimization with imperfect information. - Peyman Mohajerin Esfahani; Soroosh Shafieezadeh-Abadeh; Grani Adiwena Hanasusanto; Daniel Kuhn 001 (Math. Program., 2018)

Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. - Viet Anh Nguyen; Soroosh Shafieezadeh-Abadeh; Man-Chung Yue; Daniel Kuhn 001; Wolfram Wiesemann (NeurIPS, 2019)

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. - Viet Anh Nguyen; Soroosh Shafieezadeh-Abadeh; Man-Chung Yue; Daniel Kuhn 001; Wolfram Wiesemann (NeurIPS, 2019)

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. - Daniel Kuhn 001; Peyman Mohajerin Esfahani; Viet Anh Nguyen; Soroosh Shafieezadeh-Abadeh (CoRR, 2019)

Regularization via Mass Transportation. - Soroosh Shafieezadeh-Abadeh; Daniel Kuhn 001; Peyman Mohajerin Esfahani (J. Mach. Learn. Res., 2019)

The Performance of Wasserstein Distributionally Robust M-Estimators in High Dimensions. - Liviu Aolaritei; Soroosh Shafieezadeh-Abadeh; Florian Dörfler (CoRR, 2022)

Outlier-Robust Wasserstein DRO. - Sloan Nietert; Ziv Goldfeld; Soroosh Shafiee (NeurIPS, 2023)

New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization. - Soroosh Shafieezadeh-Abadeh; Liviu Aolaritei; Florian Dörfler; Daniel Kuhn 001 (CoRR, 2023)

Discrete Optimal Transport with Independent Marginals is #P-Hard. - Bahar Taskesen; Soroosh Shafieezadeh-Abadeh; Daniel Kuhn 001; Karthik Natarajan (SIAM J. Optim., 2023)

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. - Viet Anh Nguyen; Soroosh Shafieezadeh-Abadeh; Daniel Kuhn 001; Peyman Mohajerin Esfahani (Math. Oper. Res., 2023)

Semi-discrete optimal transport: hardness, regularization and numerical solution. - Bahar Taskesen; Soroosh Shafieezadeh-Abadeh; Daniel Kuhn 001 (Math. Program., 2023)

Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract). - Sloan Nietert; Ziv Goldfeld; Soroosh Shafiee (COLT, 2024)

Robust Distribution Learning with Local and Global Adversarial Corruptions. - Sloan Nietert; Ziv Goldfeld; Soroosh Shafiee (CoRR, 2024)

Constrained optimization of rank-one functions with indicator variables. - Soroosh Shafiee; Fatma Kilinç-Karzan (Math. Program., 2024)

Distributionally robust optimization. - Daniel Kuhn 001; Soroosh Shafiee; Wolfram Wiesemann (Acta Numer., 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)

Scalable First-order Method for Certifying Optimal k-Sparse GLMs. - Jiachang Liu 001; Soroosh Shafiee; Andrea Lodi 001 (CoRR, 2025)

A Saddle Point Algorithm for Robust Data-Driven Factor Model Problems. - Shabnam Khodakaramzadeh; Soroosh Shafiee; Gabriel de Albuquerque Gleizer; Peyman Mohajerin Esfahani (CoRR, 2025)