This is your work, valued
PhD student in Statistics. @CREST-ENSAE
bayesianSDEsolver. Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
10LSVI. Variational inference for exponential family distributions as linear regression, in JAX.
9high_dimensional_vector_autoregression. Implementation of High-dimensional vector autoregression time series modeling via tensor decomposition, Di Wang, Yao Zheng, Heng Lian, Guodong Li. Written in JAX.
5independent_component_analysis. Project done as part of the course on Probabilistic Graphical Models by Pierre Latouche and Pierre-Alexandre Mattei. JAX Implementation of the FastICA algorithm, a Newton's descent algorithm for linear ICA, and a Flax implementation of VAE for non-linear ICA.
3pricing_fft_ensae. Implementation of the Carr-Madan formula for fast derivative pricing of European options.
2NMT_SparqlDatalog. A NMT pipeline between english and Sparql/Datalog queries.
2unbiased_mcmc_with_couplings. Implementation of a coupled Metropolis-Hasting Algorithm in Jax. Project done as part of the Bayesian Machine Learning course by Rémi Bardenet and Julyan Arbel.
1polynomialBrownian. Numerical approximations for stochastic differential equations.
1CGB_scrapping. Python
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