Alexandre Bouchard-Côté

According to our database, Alexandre Bouchard-Côté authored at least 36 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

MCMC-driven learning.

Alexandre Bouchard-Côté, Trevor Campbell, Geoff Pleiss, Nikola Surjanovic

CoRR, 2024

2023

Pseudo-Marginal Inference for CTMCs on Infinite Spaces via Monotonic Likelihood Approximations.

Miguel Biron-Lattes, Alexandre Bouchard-Côté, Trevor Campbell

J. Comput. Graph. Stat., April, 2023

Pigeons.jl: Distributed Sampling From Intractable Distributions.

Nikola Surjanovic, Miguel Biron-Lattes, Paul Tiede, Saifuddin Syed, Trevor Campbell, Alexandre Bouchard-Côté

CoRR, 2023

SpatialSort: a Bayesian model for clustering and cell population annotation of spatial proteomics data.

Eric Lee, Kevin Chern, Michael Nissen, Xuehai Wang, Chris Huang, Anita K. Gandhi, Alexandre Bouchard-Côté, Andrew P. Weng, Andrew Roth

Bioinform., 2023

2022

<i>Blang</i>: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua.

Alexandre Bouchard-Côté, Kevin Chern, Davor Cubranic, Sahand Hosseini, Justin Hume, Matteo Lepur, Zihui Ouyang, Giorgio Sgarbi

J. Stat. Softw., 2022

Parallel Tempering With a Variational Reference.

Nikola Surjanovic, Saifuddin Syed, Alexandre Bouchard-Côté, Trevor Campbell

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler.

Tingting Zhao, Alexandre Bouchard-Côté

J. Mach. Learn. Res., 2021

Particle-Gibbs Sampling for Bayesian Feature Allocation Models.

Alexandre Bouchard-Côté, Andrew Roth

J. Mach. Learn. Res., 2021

Parallel tempering on optimized paths.

Saifuddin Syed, Vittorio Romaniello, Trevor Campbell, Alexandre Bouchard-Côté

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Slice Sampling for General Completely Random Measures.

Peiyuan Zhu, Alexandre Bouchard-Côté, Trevor Campbell

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets.

Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet

Proceedings of the 36th International Conference on Machine Learning, 2019

Efficient Parameter Estimation for DNA Kinetics Modeled as Continuous-Time Markov Chains.

Sedigheh Zolaktaf, Frits Dannenberg, Erik Winfree, Alexandre Bouchard-Côté, Mark Schmidt, Anne Condon

Proceedings of the DNA Computing and Molecular Programming - 25th International Conference, 2019

2017

Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models.

Alexandre Bouchard-Côté, Arnaud Doucet, Andrew Roth

J. Mach. Learn. Res., 2017

Sequential Graph Matching with Sequential Monte Carlo.

Seong-Hwan Jun, Samuel W. K. Wong, James V. Zidek, Alexandre Bouchard-Côté

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Unbounded Bayesian Optimization via Regularization.

Bobak Shahriari, Alexandre Bouchard-Côté, Nando de Freitas

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Atomic Spatial Processes.

Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

An Entropy Search Portfolio for Bayesian Optimization.

Bobak Shahriari, Ziyu Wang, Matthew W. Hoffman, Alexandre Bouchard-Côté, Nando de Freitas

CoRR, 2014

Memory (and Time) Efficient Sequential Monte Carlo.

Seong-Hwan Jun, Alexandre Bouchard-Côté

Proceedings of the 31th International Conference on Machine Learning, 2014

Efficient Continuous-Time Markov Chain Estimation.

Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang, Alexandre Bouchard-Côté

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Automated reconstruction of ancient languages using probabilistic models of sound change.

Alexandre Bouchard-Côté, David Hall, Thomas L. Griffiths, Dan Klein

Proc. Natl. Acad. Sci. USA, 2013

A Note on Probabilistic Models over Strings: Inference and Representation with Indexed Matrices

Alexandre Bouchard-Côté

CoRR, 2013

2012

Bayesian Pedigree Analysis using Measure Factorization.

Bonnie Kirkpatrick, Alexandre Bouchard-Côté

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Entangled Monte Carlo.

Seong-Hwan Jun, Liangliang Wang, Alexandre Bouchard-Côté

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Priors over Recurrent Continuous Time Processes.

Ardavan Saeedi, Alexandre Bouchard-Côté

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Probabilistic Models of Evolution and Language Change.

Alexandre Bouchard-Côté

PhD thesis, 2010

Variational Inference over Combinatorial Spaces.

Alexandre Bouchard-Côté, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Painless Unsupervised Learning with Features.

Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

2009

Optimization of Structured Mean Field Objectives.

Alexandre Bouchard-Côté, Michael I. Jordan

Proceedings of the UAI 2009, 2009

Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs.

Alexandre Bouchard-Côté, Slav Petrov, Dan Klein

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Improved Reconstruction of Protolanguage Word Forms.

Alexandre Bouchard-Côté, Thomas L. Griffiths, Dan Klein

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

2008

Efficient Inference in Phylogenetic InDel Trees.

Alexandre Bouchard-Côté, Michael I. Jordan, Dan Klein

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Sampling Alignment Structure under a Bayesian Translation Model.

John DeNero, Alexandre Bouchard-Côté, Dan Klein

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

A Probabilistic Approach to Language Change.

Alexandre Bouchard-Côté, Percy Liang, Thomas L. Griffiths, Dan Klein

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Probabilistic Approach to Diachronic Phonology.

Alexandre Bouchard-Côté, Percy Liang, Thomas L. Griffiths, Dan Klein

Proceedings of the EMNLP-CoNLL 2007, 2007

2006

An End-to-End Discriminative Approach to Machine Translation.

Percy Liang, Alexandre Bouchard-Côté, Dan Klein, Benjamin Taskar

Proceedings of the ACL 2006, 2006

2005

An approximation algorithm for labelled Markov processes: towards realistic approximation.

Alexandre Bouchard-Côté, Norm Ferns, Prakash Panangaden, Doina Precup

Proceedings of the Second International Conference on the Quantitative Evaluaiton of Systems (QEST 2005), 2005