Personal profile
Personal profile
He is a Professor of Data Sciences, Statistics, and Machine Learning at ENSAE, Institut Polytechnique de Paris.
He is particularly interested in all aspects of Bayesian computation—that is, algorithms for performing Bayesian inference—including:
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Monte Carlo methods: particularly Sequential Monte Carlo, but also standard, quasi-, and Markov chain Monte Carlo;
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Fast approximations: such as Expectation Propagation and Variational Bayes.
Research interests
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Collaborations and top research areas from the last five years
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Adaptive stratified Monte Carlo using decision trees
Chopin, N., Wang, H. & Gerber, M., 1 Dec 2025, In: Statistics and Computing. 35, 6, 193.Research output: Contribution to journal › Article › peer-review
Open Access -
Debiasing piecewise deterministic Markov process samplers using couplings
Corenflos, A., Sutton, M. & Chopin, N., 1 Dec 2025, In: Scandinavian Journal of Statistics. 52, 4, p. 1932-1974 43 p.Research output: Contribution to journal › Article › peer-review
Open Access -
SCALABLE BAYESIAN BI-LEVEL VARIABLE SELECTION IN GENERALIZED LINEAR MODELS
Youssfi, Y. & Chopin, N., 1 Dec 2025, In: Foundations of Data Science. 7, 4, p. 1020-1033 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Towards a turnkey approach for unbiased Monte Carlo estimation of smooth functions of expectations
Chopin, N., Crucinio, F. R. & Singh, S. S., 1 Jan 2025, In: Biometrika. 112, 3, asaf030.Research output: Contribution to journal › Article › peer-review
Open Access -
A Connection between Tempering and Entropic Mirror Descent
Chopin, N., Crucinio, F. & Korba, A., 1 Jan 2024, In: Proceedings of Machine Learning Research. 235, p. 8782-8800 19 p.Research output: Contribution to journal › Conference article › peer-review
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HIGHER-ORDER MONTE CARLO THROUGH CUBIC STRATIFICATION
Chopin, N. & Gerber, M., 1 Feb 2024, In: SIAM Journal on Numerical Analysis. 62, 1, p. 229-247 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
Sakhi, O., Aouali, I., Alquier, P. & Chopin, N., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
Chopin, N., Fulop, A., Heng, J. & Thiery, A. H., 1 Jan 2023, In: Proceedings of Machine Learning Research. 202, p. 5904-5923 20 p.Research output: Contribution to journal › Conference article › peer-review
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De-biasing particle filtering for a continuous time hidden Markov model with a Cox process observation model
Jin, R., Singh, S. S. & Chopin, N., 1 Jan 2023, In: Statistica Sinica.Research output: Contribution to journal › Article › peer-review
Open Access -
Fast Slate Policy Optimization: Going Beyond Plackett-Luce
Sakhi, O., Rohde, D. & Chopin, N., 1 Jan 2023, In: Transactions on Machine Learning Research. 2023Research output: Contribution to journal › Article › peer-review