Bouchard-Cote, Alexandre

24 publications

ICML 2025 AutoStep: Locally Adaptive Involutive MCMC Tiange Liu, Nikola Surjanovic, Miguel Biron-Lattes, Alexandre Bouchard-Cote, Trevor Campbell

AISTATS 2025 Is Gibbs Sampling Faster than Hamiltonian Monte Carlo on GLMs? Son Luu, Zuheng Xu, Nikola Surjanovic, Miguel Biron-Lattes, Trevor Campbell, Alexandre Bouchard-Cote

ICML 2025 Variational Phylogenetic Inference with Products over Bipartitions Evan Sidrow, Alexandre Bouchard-Cote, Lloyd T Elliott

AISTATS 2024 autoMALA: Locally Adaptive Metropolis-Adjusted Langevin Algorithm Miguel Biron-Lattes, Nikola Surjanovic, Saifuddin Syed, Trevor Campbell, Alexandre Bouchard-Cote

NeurIPS 2022 Parallel Tempering with a Variational Reference Nikola Surjanovic, Saifuddin Syed, Alexandre Bouchard-Côté, Trevor Campbell

JMLR 2021 Analysis of High-Dimensional Continuous Time Markov Chains Using the Local Bouncy Particle Sampler Tingting Zhao, Alexandre Bouchard-Côté

ICML 2021 Parallel Tempering on Optimized Paths Saifuddin Syed, Vittorio Romaniello, Trevor Campbell, Alexandre Bouchard-Cote

JMLR 2021 Particle-Gibbs Sampling for Bayesian Feature Allocation Models Alexandre Bouchard-Côté, Andrew Roth

UAI 2020 Slice Sampling for General Completely Random Measures Peiyuan Zhu, Alexandre Bouchard-Cote, Trevor Campbell

ICML 2019 Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets Rob Cornish, Paul Vanetti, Alexandre Bouchard-Cote, George Deligiannidis, Arnaud Doucet

JMLR 2017 Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models Alexandre Bouchard-Côté, Arnaud Doucet, Andrew Roth

AISTATS 2017 Sequential Graph Matching with Sequential Monte Carlo Seong-Hwan Jun, Samuel W. K. Wong, James V. Zidek, Alexandre Bouchard-Côté

AISTATS 2016 Unbounded Bayesian Optimization via Regularization Bobak Shahriari, Alexandre Bouchard-Côté, Nando de Freitas

ICML 2015 Atomic Spatial Processes Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté

ICML 2014 Efficient Continuous-Time Markov Chain Estimation Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang, Alexandre Bouchard-Côté

ICML 2014 Memory (and Time) Efficient Sequential Monte Carlo Seong-Hwan Jun, Alexandre Bouchard-Côté

NeurIPS 2012 Bayesian Pedigree Analysis Using Measure Factorization Bonnie Kirkpatrick, Alexandre Bouchard-côté

NeurIPS 2012 Entangled Monte Carlo Seong-hwan Jun, Liangliang Wang, Alexandre Bouchard-côté

NeurIPS 2011 Priors over Recurrent Continuous Time Processes Ardavan Saeedi, Alexandre Bouchard-côté

NeurIPS 2010 Variational Inference over Combinatorial Spaces Alexandre Bouchard-côté, Michael I. Jordan

UAI 2009 Optimization of Structured Mean Field Objectives Alexandre Bouchard-Côté, Michael I. Jordan

NeurIPS 2009 Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs Alexandre Bouchard-côté, Slav Petrov, Dan Klein

NeurIPS 2008 Efficient Inference in Phylogenetic InDel Trees Alexandre Bouchard-côté, Dan Klein, Michael I. Jordan

NeurIPS 2007 A Probabilistic Approach to Language Change Alexandre Bouchard-côté, Percy Liang, Dan Klein, Thomas L. Griffiths