Alexandre Bouchard-côté
28 papers · 2006–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (8) 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Academic Marathon
(19)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(9)
🌟
Keyword Trendsetter Combo
(4)
🔬
Deep Specialist
(10)
🏆
Keyword Champion
💎
Century Club
(28)
📈
Trend Setter
❓
The Questioner
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Unstoppable
(7)
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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
Research topics
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