Nicolas Chopin

33 papers A* 6B 1Journal 23Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive stratified Monte Carlo using decision trees.
Stat. Comput.
Nicolas Chopin, Hejin Wang, Mathieu Gerber
2025 J jnl
Convergence of a class of gradient-free optimisation schemes when the objective function is noisy, irregular, or both.
CoRR
Christophe Andrieu, Nicolas Chopin, Ettore Fincato, Mathieu Gerber
2024 A* conf
A connection between Tempering and Entropic Mirror Descent.
ICML
Nicolas Chopin, Francesca R. Crucinio, Anna Korba
2024 J jnl
Higher-Order Monte Carlo through Cubic Stratification.
SIAM J. Numer. Anal.
Nicolas Chopin, Mathieu Gerber
2024 A* conf
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning.
NeurIPS
Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
2024 J jnl
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning.
CoRR
Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
2023 A* conf
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions.
ICML
Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery
2023 J jnl
Debiasing Piecewise Deterministic Markov Process samplers using couplings.
CoRR
Adrien Corenflos, Matthew Sutton, Nicolas Chopin
2023 J jnl
Fast Slate Policy Optimization: Going Beyond Plackett-Luce.
CoRR
Otmane Sakhi, David Rohde, Nicolas Chopin
2023 J jnl
Fast Slate Policy Optimization: Going Beyond Plackett-Luce.
Trans. Mach. Learn. Res.
Otmane Sakhi, David Rohde, Nicolas Chopin
2023 A* conf
PAC-Bayesian Offline Contextual Bandits With Guarantees.
ICML
Otmane Sakhi, Pierre Alquier, Nicolas Chopin
2022 J jnl
Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions.
CoRR
Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery
2022 J jnl
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother.
CoRR
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
2022 J jnl
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother.
J. Mach. Learn. Res.
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
2022 J jnl
Higher-order stochastic integration through cubic stratification.
CoRR
Nicolas Chopin, Mathieu Gerber
2022 J jnl
PAC-Bayesian Offline Contextual Bandits With Guarantees.
CoRR
Otmane Sakhi, Nicolas Chopin, Pierre Alquier
2021 A* conf
Bayesian Causal Inference for Real World Interactive Systems.
KDD
Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang
2021 J jnl
Fast Compression of MCMC Output.
Entropy
Nicolas Chopin, Gabriel Ducrocq
2017 B conf
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses.
CogSci
Shravan Vasishth, Nicolas Chopin, Robin J. Ryder, Bruno Nicenboim
2017 J jnl
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses.
CoRR
Shravan Vasishth, Nicolas Chopin, Robin J. Ryder, Bruno Nicenboim
2016 J jnl
On the properties of variational approximations of Gibbs posteriors.
J. Mach. Learn. Res.
Pierre Alquier, James Ridgway, Nicolas Chopin
2015 — conf
Application of sequential Quasi-Monte Carlo to autonomous positioning.
EUSIPCO
Nicolas Chopin, Mathieu Gerber
2015 J jnl
The Poisson transform for unnormalised statistical models.
Stat. Comput.
Simon Barthelmé, Nicolas Chopin
2014 — conf
PAC-Bayesian AUC classification and scoring.
NIPS
James Ridgway, Pierre Alquier, Nicolas Chopin, Feng Liang
2014 — conf
Van der Corput and Golden Ratio Sequences Along the Hilbert Space-Filling Curve.
MCQMC
Colas Schretter, Zhijian He, Mathieu Gerber, Nicolas Chopin, Harald Niederreiter
2013 J jnl
Bayesian Learning of Noisy Markov Decision Processes.
ACM Trans. Model. Comput. Simul.
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
2013 J jnl
Sequential Monte Carlo on large binary sampling spaces.
Stat. Comput.
Christian Schäfer, Nicolas Chopin
2012 J jnl
Bayesian learning of noisy Markov decision processes
CoRR
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
2012 J jnl
Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors.
Stat. Comput.
Nicolas Chopin, Tony Lelièvre, Gabriel Stoltz
2012 J jnl
In praise of the referee
CoRR
Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen, Christian P. Robert
2011 A* conf
ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation.
ICML
Simon Barthelmé, Nicolas Chopin
2011 J jnl
Fast simulation of truncated Gaussian distributions.
Stat. Comput.
Nicolas Chopin
2009 J jnl
Jim Albert: Bayesian computation with R.
Stat. Comput.
Nicolas Chopin