My name is Avetik Karagulyan. I am a Research Scientist at CNRS/L2S. Previously, I was a PostDoctoral fellow at KAUST in the team of professor Peter Richtárik. I defended my thesis at Center of Research in Economics and Statistics (CREST), Paris under the supervision of professor Arnak Dalalyan.

In 2018, I received my MSc Mathematics, Vision, Learning (MVA) diploma at ENS Paris-Saclay with highest honors (mention "très bien"). I graduated from Yerevan State University's faculty of Mathematics and Mechanics in 2017 with excellence.

My research focuses on the study of different methods of sampling and their connections to optimization.

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2025 March - Gave a talk on cross-device federated learning at the Séminaire d'Automatique du Plateau de Saclay.

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2025 March - With Arshak Minasyan, we are looking for a postdoc, interested in working on certain topics of Statistics and Optimization. The application deadline is mid-March. The details can be found here.

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2025 February - Gave a talk on federated sampling at The Paris-Saclay Signal Seminar (Scube).

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2024 November - I will join Laboratoire des Signaux et Systèmes (L2S) at Centrale Supélec as a Research Scientist (Chargé de Recherche) from Centre Nationale de la Recherche Scientifique (CNRS).

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2024 May - "SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning" is on arXiv. It is a joint work with Egor Shulgin, Abdurakhmon Sadiev, and Peter Richtárik.

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2024 April - Two papers accepted to ICLR!

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