Alexandre Bouchard‐Côté
- The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov\n Chain Monte Carlo Method
2015/10/08 by Alexandre Bouchard‐Côté, Bouchard-Côté, Alexandre, Sebastian J. Vollmer +3 · 6 citations
Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference #Bayesian Methods and Mixture Models
- Past, Present and Future of Software for Bayesian Inference
2024/02/01 by Erik Štrumbelj, Alexandre Bouchard‐Côté, Jukka Corander +6 · 1 voice · 4 citations
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Gaussian Processes and Bayesian Inference #Statistical Methods and Bayesian Inference
- Parallel Tempering With a Variational Reference
2022/05/31 by Nikola Surjanovic, Saifuddin Syed, Surjanovic, Nikola +5 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods
- Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
2019/01/28 by Robert Cornish, Paul Vanetti, Cornish, Robert +7 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
- Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
2024/10/04 by Steven Luu, Zuheng Xu, Luu, Son +9 · 1 citation
Mathematics · #Markov Chains and Monte Carlo Methods
- Piecewise-Deterministic Markov Chain Monte Carlo
2017/07/17 by Paul Vanetti, Alexandre Bouchard‐Côté, Vanetti, Paul +5 · 2 citations
Mathematics · #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference #Stochastic processes and statistical mechanics