Adam M. Johansen

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 16

Top Topics

Top Venues

J. Mach. Learn. Res.

Publications

Rocco Caprio, Juan Kuntz, Samuel Power, Adam M. Johansen
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities. CoRR (2024)
Jen Ning Lim, Adam M. Johansen
Particle Semi-Implicit Variational Inference. CoRR (2024)
Rocco Caprio, Adam M. Johansen
Fast convergence of the Expectation Maximization algorithm under a logarithmic Sobolev inequality. CoRR (2024)
Alessandro Viani, Adam M. Johansen, Alberto Sorrentino
Cost free hyper-parameter selection/averaging for Bayesian inverse problems with vanilla and Rao-Blackwellized SMC samplers. Stat. Comput. 33 (6) (2023)
Juan Kuntz, Jen Ning Lim, Adam M. Johansen
Particle algorithms for maximum likelihood training of latent variable models. AISTATS (2023)
Ryan S. Y. Chan, Murray Pollock, Adam M. Johansen, Gareth O. Roberts
Divide-and-Conquer Fusion. J. Mach. Learn. Res. 24 (2023)
Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen
Momentum Particle Maximum Likelihood. CoRR (2023)
Denishrouf Thesingarajah, Adam M. Johansen
The node-wise Pseudo-marginal method: model selection with spatial dependence on latent graphs. Stat. Comput. 32 (3) (2022)
Juan Kuntz, Francesca R. Crucinio, Adam M. Johansen
Product-form estimators: exploiting independence to scale up Monte Carlo. Stat. Comput. 32 (1) (2022)
Francesca R. Crucinio, Valentin De Bortoli, Arnaud Doucet, Adam M. Johansen
Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows. CoRR (2022)
Juan Kuntz, Adam M. Johansen
Scalable particle-based alternatives to EM. CoRR (2022)
Lewis J. Rendell, Adam M. Johansen, Anthony Lee, Nick Whiteley
Global Consensus Monte Carlo. J. Comput. Graph. Stat. 30 (2) (2021)
Måns Unosson, Marco Brancaccio, Michael Hastings, Adam M. Johansen, Bärbel Finkenstädt
A spatio-temporal model to reveal oscillator phenotypes in molecular clocks: Parameter estimation elucidates circadian gene transcription dynamics in single-cells. PLoS Comput. Biol. 17 (12) (2021)
Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen
Generalised Bayesian Filtering via Sequential Monte Carlo. NeurIPS (2020)
Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen
Generalized Bayesian Filtering via Sequential Monte Carlo. CoRR (2020)
Richard G. Everitt, Adam M. Johansen, Ellen Rowing, Melina Evdemon-Hogan
Bayesian model comparison with un-normalised likelihoods. Stat. Comput. 27 (2) (2017)
Matthew Thorpe, Florian Theil, Adam M. Johansen, Neil Cade
Convergence of the k-Means Minimization Problem using Γ-Convergence. SIAM J. Appl. Math. 75 (6) (2015)
Yan Zhou, Adam M. Johansen, John A. D. Aston
Bayesian model comparison via path-sampling sequential Monte Carlo. SSP (2012)
Arnaud Doucet, Adam M. Johansen, Vladislav Z. B. Tadic
On solving integral equations using Markov chain Monte Carlo methods. Appl. Math. Comput. 216 (10) (2010)
Adam M. Johansen, Arnaud Doucet, Manuel Davy
Particle methods for maximum likelihood estimation in latent variable models. Stat. Comput. 18 (1) (2008)
Adam M. Johansen, Arnaud Doucet, Manuel Davy
Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo. ICASSP (3) (2006)