Mehmet Fatih Sahin (2018)

Internship project topic:

Projection-Free Adaptive Convex Optimization


I received my B.Sc. degrees in Electrical and Electronics Engineering and Physics from Middle East Technical University, Ankara, Turkey in 2017. Previously, I worked as an R&D Engineer on the design and optimization of beam pattern for sensor arrays in a leading defense industry company in Turkey. My current research interests lie in the theoretical and algorithmic aspects of convex optimization methods and their applications to machine learning.

Publications (most recent)

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

M. F. Sahin / V. Cevher (Dir.)  

Lausanne, EPFL, 2023. 

Sound and Complete Verification of Polynomial Networks

E. Abad Rocamora; M. F. Sahin; F. Liu; G. Chrysos; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints

M. F. Sahin; A. Eftekhari; A. Alacaoglu; F. R. Latorre Gomez; V. Cevher 

2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.

Let’s be honest: An optimal no-regret framework for zero-sum games

E. Asadi Kangarshahi; Y-P. Hsieh; M. F. Sahin; V. Cevher 

2018. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.