Soroosh Shafieezadeh-Abadeh

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Robust Optimization

Perfect Information

Mathematical Programming

Chance Constrained

Top Venues

Publications

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) (2023)
Soroosh Shafieezadeh-Abadeh, Liviu Aolaritei, Florian Dörfler, Daniel Kuhn
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization. CoRR (2023)
Soroosh Shafieezadeh-Abadeh, Fatma Kilinç-Karzan
Constrained Optimization of Rank-One Functions with Indicator Variables. CoRR (2023)
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn
Semi-discrete optimal transport: hardness, regularization and numerical solution. Math. Program. 199 (1) (2023)
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan
Discrete Optimal Transport with Independent Marginals is #P-Hard. SIAM J. Optim. 33 (2) (2023)
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan
Discrete Optimal Transport with Independent Marginals is #P-Hard. CoRR (2022)
Liviu Aolaritei, Soroosh Shafieezadeh-Abadeh, Florian Dörfler
The Performance of Wasserstein Distributionally Robust M-Estimators in High Dimensions. CoRR (2022)
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution. CoRR (2021)
Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. CoRR (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. CoRR (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. NeurIPS (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. CoRR (2019)
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 (2019)
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Regularization via Mass Transportation. J. Mach. Learn. Res. 20 (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. NeurIPS (2019)
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Wasserstein Distributionally Robust Kalman Filtering. NeurIPS (2018)
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Wasserstein Distributionally Robust Kalman Filtering. CoRR (2018)
Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani Adiwena Hanasusanto, Daniel Kuhn
Data-driven inverse optimization with imperfect information. Math. Program. 167 (1) (2018)
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Regularization via Mass Transportation. CoRR (2017)
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) (2016)
Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn
Distributionally Robust Logistic Regression. NIPS (2015)