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Hi there 👋

Since 2021, I am a PhD candidate at MBZUAI in Machine Learning, in Abu Dhabi, UAE, under the supervision of Dr. Bin Gu, with an expected graduation date of June 2024. I am currently working on optimization for machine learning, in particular on zeroth-order optimization, and sparse learning. Before that, I graduated with an MSc. from Supélec in 2016 (now part of CentraleSupelec and Paris Saclay University), and have worked at Sidetrade as a data scientist (2016-2017), at Inria in the Magnet Team as a research engineer (2017-2019), and at Huawei in the Paris Research and Algorithmic Lab as a PhD student (2019-2021).

Feel free to check my personal page: wdevazelhes.github.io !

William de Vazelhes's Projects

fast-nca icon fast-nca

Fast implementation of the Neighborhood Component Analysis algorithm

flax icon flax

Flax is a neural network library for JAX that is designed for flexibility.

metric-bench icon metric-bench

Small repository to benchmark some metric learning algorithms.

pylmnn icon pylmnn

A python implementation of LMNN

skggm icon skggm

Scikit-learn compatible estimation of general graphical models

wae icon wae

Wasserstein Auto-Encoders

wdevazelhes.github.io icon wdevazelhes.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

zo-adamm icon zo-adamm

Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'

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