papers
Publications (7)
cs.LG2018
Langevin-gradient parallel tempering for Bayesian neural learning
Rohitash Chandra, Konark Jain, Ratneel V. Deo +1
stat.AP2016
A Bayesian Approach to Predicting Disengaged Youth
David Kohn, Sally Cripps, Nick Glozier +1
stat.AP2018
Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success
Richard Scalzo, David Kohn, Hugo Olierook +4
stat.ML2019
Structured Variational Inference in Continuous Cox Process Models
Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas +1
stat.AP2018
Irreproducibility; Nothing is More Predictable
David Kohn, Nick Glozier, Ian B. Hickie +2
stat.AP2018
A comparison of methods for modeling marginal non-zero daily rainfall across the Australian continent
Michael Bertolacci, Edward Cripps, Ori Rosen +1
q-fin.ST2019
Bayesian Nonparametric Adaptive Spectral Density Estimation for Financial Time Series
Nick James, Roman Marchant, Richard Gerlach +1