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Alexandre Bouchard-Côté
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- affiliation: University of British Columbia, Department of Statistics
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2020 – today
- 2024
- [c25]Miguel Biron-Lattes, Nikola Surjanovic, Saifuddin Syed, Trevor Campbell, Alexandre Bouchard-Côté:
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm. AISTATS 2024: 4600-4608 - [i10]Alexandre Bouchard-Côté, Trevor Campbell, Geoff Pleiss, Nikola Surjanovic:
MCMC-driven learning. CoRR abs/2402.09598 (2024) - [i9]Tiange Liu, Nikola Surjanovic, Miguel Biron-Lattes, Alexandre Bouchard-Côté, Trevor Campbell:
AutoStep: Locally adaptive involutive MCMC. CoRR abs/2410.18929 (2024) - 2023
- [j7]Eric Lee
, Kevin Chern, Michael Nissen, Xuehai Wang, Chris Huang, Anita K. Gandhi, Alexandre Bouchard-Côté, Andrew P. Weng, Andrew Roth:
SpatialSort: a Bayesian model for clustering and cell population annotation of spatial proteomics data. Bioinform. 39(Supplement-1): 131-139 (2023) - [j6]Miguel Biron-Lattes
Pseudo-Marginal Inference for CTMCs on Infinite Spaces via Monotonic Likelihood Approximations. J. Comput. Graph. Stat. 32(2): 513-527 (2023) - [i8]Nikola Surjanovic, Miguel Biron-Lattes, Paul Tiede, Saifuddin Syed, Trevor Campbell, Alexandre Bouchard-Côté:
Pigeons.jl: Distributed Sampling From Intractable Distributions. CoRR abs/2308.09769 (2023) - 2022
- [j5]Alexandre Bouchard-Côté, Kevin Chern, Davor Cubranic, Sahand Hosseini, Justin Hume, Matteo Lepur, Zihui Ouyang, Giorgio Sgarbi:
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua. J. Stat. Softw. 103(11) (2022) - [c24]Nikola Surjanovic, Saifuddin Syed, Alexandre Bouchard-Côté, Trevor Campbell:
Parallel Tempering With a Variational Reference. NeurIPS 2022 - 2021
- [j4]Tingting Zhao, Alexandre Bouchard-Côté:
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler. J. Mach. Learn. Res. 22: 91:1-91:41 (2021) - [j3]Alexandre Bouchard-Côté, Andrew Roth:
Particle-Gibbs Sampling for Bayesian Feature Allocation Models. J. Mach. Learn. Res. 22: 197:1-197:105 (2021) - [c23]Saifuddin Syed, Vittorio Romaniello, Trevor Campbell, Alexandre Bouchard-Côté:
Parallel tempering on optimized paths. ICML 2021: 10033-10042 - 2020
- [c22]Peiyuan Zhu, Alexandre Bouchard-Côté, Trevor Campbell:
Slice Sampling for General Completely Random Measures. UAI 2020: 699-708 - [i7]Alexandre Bouchard-Côté, Andrew Roth:
Particle-Gibbs Sampling For Bayesian Feature Allocation Models. CoRR abs/2001.09367 (2020) - [i6]Peiyuan Zhu, Alexandre Bouchard-Côté, Trevor Campbell:
Slice Sampling for General Completely Random Measures. CoRR abs/2006.13925 (2020)
2010 – 2019
- 2019
- [c21]Sedigheh Zolaktaf, Frits Dannenberg, Erik Winfree, Alexandre Bouchard-Côté, Mark Schmidt, Anne Condon:
Efficient Parameter Estimation for DNA Kinetics Modeled as Continuous-Time Markov Chains. DNA 2019: 80-99 - [c20]Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet:
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. ICML 2019: 1351-1360 - [i5]Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet:
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. CoRR abs/1901.09881 (2019) - [i4]Tingting Zhao, Alexandre Bouchard-Côté:
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler. CoRR abs/1905.13120 (2019) - 2017
- [j2]Alexandre Bouchard-Côté, Arnaud Doucet, Andrew Roth:
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models. J. Mach. Learn. Res. 18: 28:1-28:39 (2017) - [c19]Seong-Hwan Jun, Samuel W. K. Wong, James V. Zidek, Alexandre Bouchard-Côté:
Sequential Graph Matching with Sequential Monte Carlo. AISTATS 2017: 1075-1084 - 2016
- [c18]Bobak Shahriari, Alexandre Bouchard-Côté, Nando de Freitas:
Unbounded Bayesian Optimization via Regularization. AISTATS 2016: 1168-1176 - 2015
- [c17]Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté:
Atomic Spatial Processes. ICML 2015: 248-256 - 2014
- [c16]Seong-Hwan Jun, Alexandre Bouchard-Côté:
Memory (and Time) Efficient Sequential Monte Carlo. ICML 2014: 514-522 - [c15]Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang, Alexandre Bouchard-Côté:
Efficient Continuous-Time Markov Chain Estimation. ICML 2014: 638-646 - [i3]Bobak Shahriari, Ziyu Wang, Matthew W. Hoffman, Alexandre Bouchard-Côté, Nando de Freitas:
An Entropy Search Portfolio for Bayesian Optimization. CoRR abs/1406.4625 (2014) - 2013
- [j1]Alexandre Bouchard-Côté, David Hall, Thomas L. Griffiths, Dan Klein:
Automated reconstruction of ancient languages using probabilistic models of sound change. Proc. Natl. Acad. Sci. USA 110(11): 4224-4229 (2013) - [i2]Alexandre Bouchard-Côté:
A Note on Probabilistic Models over Strings: Inference and Representation with Indexed Matrices. CoRR abs/1301.5054 (2013) - 2012
- [c14]Seong-Hwan Jun, Liangliang Wang, Alexandre Bouchard-Côté:
Entangled Monte Carlo. NIPS 2012: 2735-2743 - [c13]Bonnie Kirkpatrick, Alexandre Bouchard-Côté:
Bayesian Pedigree Analysis using Measure Factorization. NIPS 2012: 2906-2914 - [i1]Alexandre Bouchard-Côté, Michael I. Jordan:
Optimization of Structured Mean Field Objectives. CoRR abs/1205.2658 (2012) - 2011
- [c12]Ardavan Saeedi, Alexandre Bouchard-Côté:
Priors over Recurrent Continuous Time Processes. NIPS 2011: 2052-2060 - 2010
- [b1]Alexandre Bouchard-Côté:
Probabilistic Models of Evolution and Language Change. University of California, Berkeley, USA, 2010 - [c11]Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein:
Painless Unsupervised Learning with Features. HLT-NAACL 2010: 582-590 - [c10]Alexandre Bouchard-Côté, Michael I. Jordan:
Variational Inference over Combinatorial Spaces. NIPS 2010: 280-288
2000 – 2009
- 2009
- [c9]Alexandre Bouchard-Côté, Thomas L. Griffiths, Dan Klein:
Improved Reconstruction of Protolanguage Word Forms. HLT-NAACL 2009: 65-73 - [c8]Alexandre Bouchard-Côté, Slav Petrov, Dan Klein:
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs. NIPS 2009: 144-152 - [c7]Alexandre Bouchard-Côté, Michael I. Jordan:
Optimization of Structured Mean Field Objectives. UAI 2009: 67-74 - 2008
- [c6]John DeNero, Alexandre Bouchard-Côté, Dan Klein:
Sampling Alignment Structure under a Bayesian Translation Model. EMNLP 2008: 314-323 - [c5]Alexandre Bouchard-Côté, Michael I. Jordan, Dan Klein:
Efficient Inference in Phylogenetic InDel Trees. NIPS 2008: 177-184 - 2007
- [c4]Alexandre Bouchard-Côté, Percy Liang, Thomas L. Griffiths, Dan Klein:
A Probabilistic Approach to Diachronic Phonology. EMNLP-CoNLL 2007: 887-896 - [c3]Alexandre Bouchard-Côté, Percy Liang, Thomas L. Griffiths, Dan Klein:
A Probabilistic Approach to Language Change. NIPS 2007: 169-176 - 2006
- [c2]Percy Liang, Alexandre Bouchard-Côté, Dan Klein, Benjamin Taskar:
An End-to-End Discriminative Approach to Machine Translation. ACL 2006 - 2005
- [c1]Alexandre Bouchard-Côté, Norm Ferns, Prakash Panangaden, Doina Precup:
An approximation algorithm for labelled Markov processes: towards realistic approximation. QEST 2005: 54-62
Coauthor Index
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