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Seminars (SIN)

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Event When Speaker Title Presentation Material
SINW01 3rd July 2017
13:30 to 14:15
Sylvia Richardson Data compression with statistical guarantees
SINW01 3rd July 2017
14:15 to 15:00
Alexandre Bouchard Monte Carlo without rejection
SINW01 3rd July 2017
15:30 to 16:15
Helen Ogden Inference with approximate likelihoods
SINW01 3rd July 2017
16:15 to 17:00
Havard Rue Scalable statistical inference with INLA
SINW01 4th July 2017
09:00 to 09:45
Michael Jordan Variational, Hamiltonian and Symplectic Perspectives on Acceleration
SINW01 4th July 2017
09:45 to 10:30
Anthony Lee Unbiased approximations of products of expectations
SINW01 4th July 2017
11:00 to 11:45
Steven Scott Comparing Consensus Monte Carlo Strategies for Distributed Bayesian Computation
SINW01 4th July 2017
11:45 to 12:30
Jun Liu tba
SINW01 4th July 2017
13:30 to 14:15
Tamara Broderick Coresets for scalable Bayesian logistic regression
SINW01 4th July 2017
14:15 to 15:00
Cristiano Varin Designing efficient composite likelihoods
SINW01 4th July 2017
15:30 to 16:15
Kerrie Mengersen Transferability: as easy as ABC?
SINW01 4th July 2017
16:15 to 17:00
Darren Wilkinson Category theory and functional programming for scalable statistical modelling and computational inference
SINW01 5th July 2017
09:00 to 09:45
Paul Fearnhead Asymptotics of Approximate Bayesian Computation
SINW01 5th July 2017
09:45 to 10:30
Wentao Li Validating approximate Bayesian computation on posterior convergence
SINW01 5th July 2017
11:00 to 11:45
Sam Livingstone Kinetic energy choice in Hamiltonian/hybrid Monte Carlo
SINW01 5th July 2017
11:45 to 12:30
Christophe Andrieu On the ordering of some nonreversible Markov chain and Markov process Monte Carlo methods
SINW01 5th July 2017
13:30 to 14:15
Murray Pollock Exact Bayesian Inference for Big Data: Single- and Multi-Core Approaches
SINW01 5th July 2017
14:15 to 15:00
Gareth Roberts Optimisation and complexity for Gibbs samplers for hierarchical and crossed-effect models
SINW01 5th July 2017
15:30 to 16:15
Chris Holmes Fast Bayesian Boolean Matrix Factorisation
SINW01 5th July 2017
16:15 to 17:00
Louis Aslett Towards Encrypted Inference for Arbitrary Models
SINW01 6th July 2017
09:00 to 09:45
Helen Zhang Hierarchy-preserving regularization solution paths for identifying interactions in high dimensional data
SINW01 6th July 2017
09:45 to 10:30
Katherine Heller Mobile Apps and Machine Learning for Improving Healthcare
SINW01 6th July 2017
11:00 to 11:45
James Scott Detecting radiological anomalies
SINW01 6th July 2017
11:45 to 12:30
Po-Ling Loh Community recovery in weighted stochastic block models
SINW01 6th July 2017
13:30 to 14:15
Matti Vihola Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo and exact approximation
SINW01 6th July 2017
14:15 to 15:00
Arnaud Doucet The Correlated Pseudo-Marginal Method
SINW01 6th July 2017
15:30 to 16:15
Sinan Yildirim Scalable Monte Carlo inference for state-space models
SINW01 6th July 2017
16:15 to 17:00
Chris Sherlock The Discrete Bouncy Particle Sampler
SINW01 7th July 2017
09:00 to 09:45
Eric François Moulines Langevin MCMC: theory and methods
SINW01 7th July 2017
09:45 to 10:30
David Firth Bradley-Terry models for pair-comparison networks: Structure and scalability
SINW01 7th July 2017
11:00 to 11:45
Jose Blanchet Exact Sampling for Multivariate Diffusions
SINW01 7th July 2017
11:45 to 12:30
Christian Robert Inference in generative models using the Wasserstein distance
SIN 18th July 2017
10:20 to 11:00
Joris Bierkens Piecewise deterministic Markov processes and efficiency gains through exact subsampling for MCMC
SIN 18th July 2017
11:00 to 11:40
Robert Jack How does breaking detailed balance accelerate convergence to equilibrium?
SIN 18th July 2017
12:10 to 12:50
Michel Manon Event-chain algorithms: taming randomness in Monte Carlo methods through irreversibility, factorization and lifting
SIN 18th July 2017
12:50 to 13:30
Michela Ottobre Sampling with non-reversible dynamics
SIN 18th July 2017
15:00 to 15:40
Anthony Maggs Multi-scale algorithms for simple fluids
SIN 18th July 2017
15:40 to 16:20
Andrew Duncan Measuring Sample Discrepancy with Diffusions
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons