← Authors

Alexandre Bouchard-côté

28 papers · 2006–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🗺️ Taxonomy Completionist (19) 🏃 Academic Marathon (19) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🌟 Keyword Trendsetter Combo (4) 🔬 Deep Specialist (10) 🏆 Keyword Champion 💎 Century Club (28) 📈 Trend Setter ❓ The Questioner 🔥 Unstoppable (7) 🗃️ Keyword Collector (73)

Conferences

NIPS (8) ICML (7) AISTATS (4) JMLR (3) NAACL (2) ACL (1) COLING (1) EMNLP (1) UAI (1)

Top co-authors

Dan Klein (8) Trevor Campbell (6) Nikola Surjanovic (4) Miguel Biron-Lattes (3) Saifuddin Syed (3) Seong-hwan Jun (3) Percy Liang (3) Andrew Roth (2) John DeNero (2) Ben Taskar (2)

Research topics

Bayesian & Probabilistic (1) Bayesian & Probabilistic (1)

Keywords

bayesian inference (13) markov chain monte carlo (11) stochastic process (4) sequential monte carlo (3) variational inference (3) parallel tempering (2) probabilistic inference (2) particle gibbs sampler (2) probabilistic model (2) phylogenetic tree (2) mcmc sampling (2) bayesian nonparametrics (2) stochastic processes (2) particle filter (2) phylogenetic inference (2) posterior inference (2) graphical model (2) gradient estimation (1) approximate inference (1) graph matching (1)

Papers

Variational Phylogenetic Inference with Products over Bipartitions ICML 2025
AutoStep: Locally adaptive involutive MCMC ICML 2025
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs? AISTATS 2025
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
Parallel Tempering With a Variational Reference NIPS 2022
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler JMLR 2021
Particle-Gibbs Sampling for Bayesian Feature Allocation Models JMLR 2021
Parallel tempering on optimized paths ICML 2021
Slice Sampling for General Completely Random Measures UAI 2020
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets ICML 2019
Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models JMLR 2017
Unbounded Bayesian Optimization via Regularization AISTATS 2016
Atomic Spatial Processes ICML 2015
Efficient Continuous-Time Markov Chain Estimation ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo ICML 2014
Entangled Monte Carlo NIPS 2012
Bayesian Pedigree Analysis using Measure Factorization NIPS 2012
Priors over Recurrent Continuous Time Processes NIPS 2011
Variational Inference over Combinatorial Spaces NIPS 2010
Painless Unsupervised Learning with Features NAACL 2010
Improved Reconstruction of Protolanguage Word Forms NAACL 2009
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NIPS 2009
Sampling Alignment Structure under a Bayesian Translation Model EMNLP 2008
Efficient Inference in Phylogenetic InDel Trees NIPS 2008
A Probabilistic Approach to Language Change NIPS 2007
An End-to-End Discriminative Approach to Machine Translation COLING 2006
An End-to-End Discriminative Approach to Machine Translation ACL 2006