Nicolas Chopin

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 19

Top Topics

Statistical Model

Monte Carlo Methods

Causal Inference

Top Venues

J. Mach. Learn. Res.

Publications

Nicolas Chopin, Mathieu Gerber
Higher-Order Monte Carlo through Cubic Stratification. SIAM J. Numer. Anal. 62 (1) (2024)
Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning. CoRR (2024)
Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions. ICML (2023)
Otmane Sakhi, David Rohde, Nicolas Chopin
Fast Slate Policy Optimization: Going Beyond Plackett-Luce. Trans. Mach. Learn. Res. 2023 (2023)
Otmane Sakhi, Pierre Alquier, Nicolas Chopin
PAC-Bayesian Offline Contextual Bandits With Guarantees. ICML (2023)
Otmane Sakhi, David Rohde, Nicolas Chopin
Fast Slate Policy Optimization: Going Beyond Plackett-Luce. CoRR (2023)
Adrien Corenflos, Matthew Sutton, Nicolas Chopin
Debiasing Piecewise Deterministic Markov Process samplers using couplings. CoRR (2023)
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother. CoRR (2022)
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother. J. Mach. Learn. Res. 23 (2022)
Nicolas Chopin, Mathieu Gerber
Higher-order stochastic integration through cubic stratification. CoRR (2022)
Otmane Sakhi, Nicolas Chopin, Pierre Alquier
PAC-Bayesian Offline Contextual Bandits With Guarantees. CoRR (2022)
Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery
Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions. CoRR (2022)
Nicolas Chopin, Gabriel Ducrocq
Fast Compression of MCMC Output. Entropy 23 (8) (2021)
Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang
Bayesian Causal Inference for Real World Interactive Systems. KDD (2021)
Shravan Vasishth, Nicolas Chopin, Robin J. Ryder, Bruno Nicenboim
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses. CoRR (2017)
Shravan Vasishth, Nicolas Chopin, Robin J. Ryder, Bruno Nicenboim
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses. CogSci (2017)
Pierre Alquier, James Ridgway, Nicolas Chopin
On the properties of variational approximations of Gibbs posteriors. J. Mach. Learn. Res. 17 (2016)
Nicolas Chopin, Mathieu Gerber
Application of sequential Quasi-Monte Carlo to autonomous positioning. EUSIPCO (2015)
Simon Barthelmé, Nicolas Chopin
The Poisson transform for unnormalised statistical models. Stat. Comput. 25 (4) (2015)
James Ridgway, Pierre Alquier, Nicolas Chopin, Feng Liang
PAC-Bayesian AUC classification and scoring. NIPS (2014)
Colas Schretter, Zhijian He, Mathieu Gerber, Nicolas Chopin, Harald Niederreiter
Van der Corput and Golden Ratio Sequences Along the Hilbert Space-Filling Curve. MCQMC (2014)
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
Bayesian Learning of Noisy Markov Decision Processes. ACM Trans. Model. Comput. Simul. 23 (1) (2013)
Christian Schäfer, Nicolas Chopin
Sequential Monte Carlo on large binary sampling spaces. Stat. Comput. 23 (2) (2013)
Nicolas Chopin, Tony Lelièvre, Gabriel Stoltz
Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors. Stat. Comput. 22 (4) (2012)
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
Bayesian learning of noisy Markov decision processes CoRR (2012)
Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen, Christian P. Robert
In praise of the referee CoRR (2012)
Simon Barthelmé, Nicolas Chopin
ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation. ICML (2011)
Nicolas Chopin
Fast simulation of truncated Gaussian distributions. Stat. Comput. 21 (2) (2011)
Nicolas Chopin
Jim Albert: Bayesian computation with R. Stat. Comput. 19 (1) (2009)