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I am currently a PhD candidate at INSA (MA team) and INRIA (SIMSMART team). Before, I earned an Engineering degree (MSc. equivalent) in Applied Mathematics from INSA. There, I studied a wide range of applied mathematics fields such as Optimization, Machine Learning and Statistics, ... I also took a research option that allowed me to work with researchers for two years before obtaining my engineering degree. My main research topics are :

  • Optimization (convex, non-convex, mixed-integer, ...)
  • Sparse problems
  • Screening methods
  • Machine learning
  • Signal processing

You can visit my personnal website here.

Theo Guyard's Projects

benchopt icon benchopt

Making your benchmark of optimization algorithms simple and open

bnbpeeling.jl icon bnbpeeling.jl

A Branch-and-Bound solver for L0-penalized problems with Big-M constraint implementing the Peeling methodology.

bnbscreening.jl icon bnbscreening.jl

A Branch-and-Bound solver for L0-penalized problems with Big-M constraint implementing Node-Screening tests.

dma06-od-2023 icon dma06-od-2023

Discrete Optimization project for DMA06-OD course at INSA Rennes.

l0learn icon l0learn

Efficient Algorithms for L0 Regularized Learning

libsvmdata icon libsvmdata

Python package to fetch data from the LIBSVM website.

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