Samuel Horvath

Samuel Horvath

PhD Student

KAUST

Biography

I will be joining MBZUAI as an assistant professor in Fall 2022. I am looking for a talented and highly motivated postdoc, PhD students, and interns to work with me in the broad areas of Federated Learning, Optimization for Machine Learning, or Efficient Deep Learning. If you are interested, please send me an email.

I am the last year PhD student in Statistics under the supervision of professor Peter Richtárik at Visual Computing Center KAUST. During my PhD, I interned at Amazon hosted by Cedric Archambeau, at Samsung hosted by Stefanos Laskaridis, Mario Almeida and Nicolas Lane, and Facebook hosted by Michael Rabbat. My research interest is mainly in Non-convex and Convex Optimization for Machine Learning, in particular Federated Learning. Before that, I was an undergrad student in Financial Mathematics at Comenius University. I received the Best Poster Award at Data Science Summer School 2018 at Ecole Polytechnique, and I am a recipient of the Best Paper Award at Federated Learning Workshop NeurIPS 2020.

Interests
  • Federated Learning
  • Stochastic Optimization
  • Deep Learning
Education
  • PhD in Statistics, Summer 2022 (Expected)

    KAUST

  • MS in Statistics, 2018

    KAUST

  • BSc in Financial Mathematics, 2017

    Comenius University

Contact

  • samohorvath11 [at] gmail.com
  • Al-Khawarizmi Applied Mathematics Building (BLDG. #1) | Office Cubicle # 2225-WS18, KAUST, Thuwal, 23955-6900