Alexandre Bouchard-Côté

51 papers A* 10A 6B 1Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AutoGD: Automatic Learning Rate Selection for Gradient Descent. CoRR Nikola Surjanovic, Alexandre Bouchard-Côté, Trevor Campbell
2025	J	`jnl`	AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent. CoRR Nikola Surjanovic, Alexandre Bouchard-Côté, Trevor Campbell
2025	A*	`conf`	AutoStep: Locally adaptive involutive MCMC. ICML Tiange Liu, Nikola Surjanovic, Miguel Biron-Lattes, Alexandre Bouchard-Côté, Trevor Campbell
2025	A	`conf`	Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs? AISTATS Son Luu, Zuheng Xu, Nikola Surjanovic, Miguel Biron-Lattes, Trevor Campbell, Alexandre Bouchard-Côté
2025	J	`jnl`	PhyClone: accurate Bayesian reconstruction of cancer phylogenies from bulk sequencing. Bioinform. Emilia Hurtado, Alexandre Bouchard-Côté, Andrew Roth
2025	J	`jnl`	Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models. J. Comput. Graph. Stat. Evan Sidrow, Nancy Heckman, Alexandre Bouchard-Côté, Sarah M. E. Fortune, Andrew W. Trites, Marie Auger-Méthé
2025	A*	`conf`	Variational Phylogenetic Inference with Products over Bipartitions. ICML Evan Sidrow, Alexandre Bouchard-Côté, Lloyd T. Elliott
2025	J	`jnl`	Variational phylogenetic inference with products over bipartitions. CoRR Evan Sidrow, Alexandre Bouchard-Côté, Lloyd T. Elliott
2024	J	`jnl`	AutoStep: Locally adaptive involutive MCMC. CoRR Tiange Liu, Nikola Surjanovic, Miguel Biron-Lattes, Alexandre Bouchard-Côté, Trevor Campbell
2024	J	`jnl`	MCMC-driven learning. CoRR Alexandre Bouchard-Côté, Trevor Campbell, Geoff Pleiss, Nikola Surjanovic
2024	J	`jnl`	Sparse Neighbor Joining: rapid phylogenetic inference using a sparse distance matrix. Bioinform. Semih Kurt, Alexandre Bouchard-Côté, Jens Lagergren
2024	A	`conf`	autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm. AISTATS Miguel Biron-Lattes, Nikola Surjanovic, Saifuddin Syed, Trevor Campbell, Alexandre Bouchard-Côté
2023	J	`jnl`	Pigeons.jl: Distributed Sampling From Intractable Distributions. CoRR Nikola Surjanovic, Miguel Biron-Lattes, Paul Tiede, Saifuddin Syed, Trevor Campbell, Alexandre Bouchard-Côté
2023	J	`jnl`	Pseudo-Marginal Inference for CTMCs on Infinite Spaces via Monotonic Likelihood Approximations. J. Comput. Graph. Stat. Miguel Biron-Lattes, Alexandre Bouchard-Côté, Trevor Campbell
2023	J	`jnl`	SpatialSort: a Bayesian model for clustering and cell population annotation of spatial proteomics data. Bioinform. Eric Lee, Kevin Chern, Michael Nissen, Xuehai Wang, Chris Huang, Anita K. Gandhi, Alexandre Bouchard-Côté, Andrew P. Weng, Andrew Roth
2022	A*	`conf`	Parallel Tempering With a Variational Reference. NeurIPS Nikola Surjanovic, Saifuddin Syed, Alexandre Bouchard-Côté, Trevor Campbell
2021	J	`jnl`	Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler. J. Mach. Learn. Res. Tingting Zhao, Alexandre Bouchard-Côté
2021	A*	`conf`	Parallel tempering on optimized paths. ICML Saifuddin Syed, Vittorio Romaniello, Trevor Campbell, Alexandre Bouchard-Côté
2021	J	`jnl`	Particle-Gibbs Sampling for Bayesian Feature Allocation Models. J. Mach. Learn. Res. Alexandre Bouchard-Côté, Andrew Roth
2020	J	`jnl`	Particle-Gibbs Sampling For Bayesian Feature Allocation Models. CoRR Alexandre Bouchard-Côté, Andrew Roth
2020	A	`conf`	Slice Sampling for General Completely Random Measures. UAI Peiyuan Zhu, Alexandre Bouchard-Côté, Trevor Campbell
2020	J	`jnl`	Slice Sampling for General Completely Random Measures. CoRR Peiyuan Zhu, Alexandre Bouchard-Côté, Trevor Campbell
2019	J	`jnl`	Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler. CoRR Tingting Zhao, Alexandre Bouchard-Côté
2019	B	`conf`	Efficient Parameter Estimation for DNA Kinetics Modeled as Continuous-Time Markov Chains. DNA Sedigheh Zolaktaf, Frits Dannenberg, Erik Winfree, Alexandre Bouchard-Côté, Mark Schmidt, Anne Condon
2019	A*	`conf`	Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. ICML Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet
2019	J	`jnl`	Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. CoRR Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet
2017	J	`jnl`	Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models. J. Mach. Learn. Res. Alexandre Bouchard-Côté, Arnaud Doucet, Andrew Roth
2017	A	`conf`	Sequential Graph Matching with Sequential Monte Carlo. AISTATS Seong-Hwan Jun, Samuel W. K. Wong, James V. Zidek, Alexandre Bouchard-Côté
2016	A	`conf`	Unbounded Bayesian Optimization via Regularization. AISTATS Bobak Shahriari, Alexandre Bouchard-Côté, Nando de Freitas
2015	A*	`conf`	Atomic Spatial Processes. ICML Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté
2014	J	`jnl`	An Entropy Search Portfolio for Bayesian Optimization. CoRR Bobak Shahriari, Ziyu Wang, Matthew W. Hoffman, Alexandre Bouchard-Côté, Nando de Freitas
2014	A*	`conf`	Efficient Continuous-Time Markov Chain Estimation. ICML Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang, Alexandre Bouchard-Côté
2014	A*	`conf`	Memory (and Time) Efficient Sequential Monte Carlo. ICML Seong-Hwan Jun, Alexandre Bouchard-Côté
2013	J	`jnl`	A Note on Probabilistic Models over Strings: Inference and Representation with Indexed Matrices CoRR Alexandre Bouchard-Côté
2013	J	`jnl`	Automated reconstruction of ancient languages using probabilistic models of sound change. Proc. Natl. Acad. Sci. USA Alexandre Bouchard-Côté, David Hall, Thomas L. Griffiths, Dan Klein
2012	—	`conf`	Bayesian Pedigree Analysis using Measure Factorization. NIPS Bonnie Kirkpatrick, Alexandre Bouchard-Côté
2012	—	`conf`	Entangled Monte Carlo. NIPS Seong-Hwan Jun, Liangliang Wang, Alexandre Bouchard-Côté
2012	J	`jnl`	Optimization of Structured Mean Field Objectives CoRR Alexandre Bouchard-Côté, Michael I. Jordan
2011	—	`conf`	Priors over Recurrent Continuous Time Processes. NIPS Ardavan Saeedi, Alexandre Bouchard-Côté
2010	—	`conf`	Painless Unsupervised Learning with Features. HLT-NAACL Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein
2010	—	`—`	Probabilistic Models of Evolution and Language Change. Alexandre Bouchard-Côté
2010	—	`conf`	Variational Inference over Combinatorial Spaces. NIPS Alexandre Bouchard-Côté, Michael I. Jordan
2009	—	`conf`	Improved Reconstruction of Protolanguage Word Forms. HLT-NAACL Alexandre Bouchard-Côté, Thomas L. Griffiths, Dan Klein
2009	A	`conf`	Optimization of Structured Mean Field Objectives. UAI Alexandre Bouchard-Côté, Michael I. Jordan
2009	—	`conf`	Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs. NIPS Alexandre Bouchard-Côté, Slav Petrov, Dan Klein
2008	—	`conf`	Efficient Inference in Phylogenetic InDel Trees. NIPS Alexandre Bouchard-Côté, Michael I. Jordan, Dan Klein
2008	A*	`conf`	Sampling Alignment Structure under a Bayesian Translation Model. EMNLP John DeNero, Alexandre Bouchard-Côté, Dan Klein
2007	—	`conf`	A Probabilistic Approach to Diachronic Phonology. EMNLP-CoNLL Alexandre Bouchard-Côté, Percy Liang, Thomas Griffiths, Dan Klein
2007	—	`conf`	A Probabilistic Approach to Language Change. NIPS Alexandre Bouchard-Côté, Percy Liang, Thomas L. Griffiths, Dan Klein
2006	A*	`conf`	An End-to-End Discriminative Approach to Machine Translation. ACL Percy Liang, Alexandre Bouchard-Côté, Dan Klein, Benjamin Taskar
2005	—	`conf`	An approximation algorithm for labelled Markov processes: towards realistic approximation. QEST Alexandre Bouchard-Côté, Norm Ferns, Prakash Panangaden, Doina Precup