Nidham Gazagnadou - Home

Photograph in a suit 

I am a second-year PhD student in the Image, Data, Signal department at Télécom Paris in France. I work on stochastic variance-reduced gradient and randomized iterative methods under the supervision of Robert M. Gower, Joseph Salmon and Olivier Fercoq.

My PhD aims at developing scalable optimization methods for solving the empirical risk minimization problem, particularly used in training machine learning algorithms (more info here). My topics of research are Machine Learning and Optimization.

I am also contributing to the Julia suite of stochastic optimization codes StochOpt.


Email: nidham [dot] gazagnadou AT telecom-paris [dot] fr



Office: 5C42
Télécom Paris
19 place Marguerite Perey,
91120 Palaiseau, France


  • Jul.-Aug. 2020 - Reviewer for NeurIPS 2020

  • Sep. 2019 - Accepted conference paper at NeurIPS 2019

  • Aug. 2019 - Talk given at ICCOPT 2019

  • Apr. 2019 - Accepted conference paper at ICML 2019

  • Oct. 2018 - Started my PhD at Télécom Paris