Maria Lomeli
Maria Lomeli
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Title
Cited by
Cited by
Year
Kernel Adaptive Metropolis–Hastings.
D Sejdinovic, H Strathmann, M Lomeli-Garcia, C Andrieu, A Gretton
ICML, 1665-1673, 2014
392014
General latent feature models for heterogeneous datasets
I Valera, MF Pradier, M Lomeli, Z Ghahramani
arXiv preprint arXiv:1706.03779, 2017
122017
A marginal sampler for σ-stable Poisson–Kingman mixture models
M Lomelí, S Favaro, YW Teh
Journal of Computational and Graphical Statistics, 2015
122015
On the stick-breaking representation of σ-stable Poisson–Kingman models
S Favaro, M Lomeli, B Nipoti, YW Teh
Electronic Journal of Statistics 8 (1), 1063-1085, 2014
72014
Antithetic and Monte Carlo kernel estimators for partial rankings
M Lomeli, M Rowland, A Gretton, Z Ghahramani
Statistics and Computing 29 (5), 1127-1147, 2019
52019
A hybrid sampler for Poisson–Kingman mixture models
M Lomeli, S Favaro, YW Teh
Advances in Neural Information Processing Systems, 2161-2169, 2015
42015
Universal marginalizer for amortised inference and embedding of generative models
R Walecki, A Buchard, K Gourgoulias, C Hart, M Lomeli, AKW Navarro, ...
arXiv preprint arXiv:1811.04727, 2018
22018
General Bayesian inference schemes in infinite mixture models
M Lomelí
arXiv preprint arXiv:1702.08781, 2017
12017
Sampling and inference for discrete random probability measures in probabilistic programs
B Bloem-Reddy, E Mathieu, A Foster, T Rainforth, YW Teh, H Ge, ...
NIPS Workshop on Advances in Approximate Bayesian Inference, 2017
12017
On a class of σ-stable Poisson–Kingman models and an effective marginalized sampler
S Favaro, M Lomeli, YW Teh
Statistics and Computing 25 (1), 67-78, 2015
12015
General Latent Feature Models for Heterogeneous Datasets
I Valera, MF Pradier, M Lomeli, Z Ghahramani
Journal of Machine Learning Research 21 (100), 1-49, 2020
2020
Masking schemes for universal marginalisers
D Gautam, M Lomeli, K Gourgoulias, D Thompson, S Johri
Advances in Approximate Bayesian Inference symposium, 2019
2019
Stick-breaking representations of 1/2-stable Poisson-Kingman models
S Favaro, M Lomeli, B Nipoti, YW Teh
Statistical computing and complex systems, 1-6, 2013
2013
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