Publications (31)
A Deep and Tractable Density Estimator
Benigno Uria, Iain Murray, Hugo Larochelle
Neural Autoregressive Distribution Estimation
Benigno Uria, Marc-Alexandre Côté, Karol Gregor +2
Driving Markov chain Monte Carlo with a dependent random stream
Iain Murray, Lloyd T. Elliott
Nonparametric Bayesian Density Modeling with Gaussian Processes
Ryan Prescott Adams, Iain Murray, David J. C. MacKay
Markov Chain Truncation for Doubly-Intractable Inference
Colin Wei, Iain Murray
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Krzysztof Chalupka, Christopher K. I. Williams, Iain Murray
Parallel MCMC with Generalized Elliptical Slice Sampling
Robert Nishihara, Iain Murray, Ryan P. Adams
Sequential Neural Methods for Likelihood-free Inference
Conor Durkan, George Papamakarios, Iain Murray
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray, Ryan Prescott Adams
Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios, Iain Murray
Mode Normalization
Lucas Deecke, Iain Murray, Hakan Bilen
Model Criticism in Latent Space
Sohan Seth, Iain Murray, Christopher K. I. Williams
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios, David C. Sterratt, Iain Murray
Dynamic Evaluation of Neural Sequence Models
Ben Krause, Emmanuel Kahembwe, Iain Murray +1
Masked Autoregressive Flow for Density Estimation
George Papamakarios, Theo Pavlakou, Iain Murray
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Ryan Prescott Adams, George E. Dahl, Iain Murray
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting
Artur Bekasov, Iain Murray
Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms
Iain Murray, Zoubin Ghahramani
Differentiation of the Cholesky decomposition
Iain Murray
Pseudo-Marginal Slice Sampling
Iain Murray, Matthew M. Graham
A determinant-free method to simulate the parameters of large Gaussian fields
Louis Ellam, Heiko Strathmann, Mark Girolami +1
Dynamical inference from a kinematic snapshot: The force law in the Solar System
Jo Bovy, Iain Murray, David W. Hogg
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
Asa Cooper Stickland, Iain Murray
RNADE: The real-valued neural autoregressive density-estimator
Benigno Uria, Iain Murray, Hugo Larochelle
MCMC for doubly-intractable distributions
Iain Murray, Zoubin Ghahramani, David MacKay
Elliptical slice sampling
Iain Murray, Ryan Prescott Adams, David J. C. MacKay
Dynamic Evaluation of Transformer Language Models
Ben Krause, Emmanuel Kahembwe, Iain Murray +1
Multiplicative LSTM for sequence modelling
Ben Krause, Liang Lu, Iain Murray +1
MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray +1
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Ryan Prescott Adams, George E. Dahl, Iain Murray
Cubic-Spline Flows
Conor Durkan, Artur Bekasov, Iain Murray +1