Mehmet Fatih Sahin (2018) ‒ LIONS ‐ EPFL

Internship project topic:

Projection-Free Adaptive Convex Optimization

Biography

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)

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Augmented Lagrangian Methods for Provable and Scalable Machine Learning

M. F. Sahin / V. Cevher (Dir.)

Lausanne, EPFL, 2023.

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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.

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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.

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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.

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