## Maria Lomeli Garcia

I am a Research Associate, working with Zoubin Ghahramani at the Machine Learning group, CBL, University of Cambridge and I am a member of Trinity Hall college. I studied my PhD at the Gatsby Unit, UCL, my supervisor was Yee Whye Teh. Before coming to the UK, I did an MSc in Mathematical Sciences at IIMAS, Universidad Nacional Autónoma de México, advised by Ramsés Mena.

## Research interests

• Statistical Machine Learning
• Bayesian Nonparametrics
• Reproducing kernel Hilbert spaces
• Exact inference methods (MCMC, SMC)

## News

• August 30, 2017. I am invited to give a talk at the SMC2017 conference at Uppsala, Sweden
• June 7, 2017. I am invited to give a talk at the conference Congreso Bayesiano de América Latina at Guanajuato, Mexico
• Sept 19, 2016. I was a PC member of the WiML 2016 conference
• Jun 14, 2016. I am invited to give a talk at the ''Bayes Legacy'' sesssion, 13th ISBA Wold meeting in Sardinia, Italy
• March 7-9, 2016. I am visiting Pierre Jacob at Harvard University, department of statistics
• October, 1, 2015. Our paper '' A marginal sampler for $\sigma$-Stable Poisson-Kingman mixture models'' was accepted for publication in the Journal of Computational and Graphical Statistics
• September 4, 2015. Our paper "A hybrid sampler for Poisson-Kingman mixture models" was accepted for the NIPS, 2015 conference in Montreal, Canada
• August 5, 2015. In Spring 2016, I will be joining the CBL group, University of Cambridge, as a Research Associate, working with Zoubin Ghahramani
• February 20, 2015. Our abstract got accepted for an oral presentation at the 10th Bayesian Nonparametrics conference
• January 21, 2015. Our abstract got accepted for an oral presentation at the 9th Bayesian Inference for Stochastic Processes conference
• July 16, 2014. Our paper ''Stick-breaking representations of $\sigma$-stable Poisson-Kingman models'' was accepted for publication in the Electronic Journal of Statistics
• April 12, 2014. Our paper "Kernel Adaptive Metropolis-Hastings" was accepted to the International Conference on Machine Learning
• August 28, 2013. I am attending the workshop Advances in Scalable Bayesian Computation at Banff International Research Centre
• June 21, 2013. Our short paper ''Stick-breaking representations of $1/2$-stable Poisson-Kingman models'' was accepted for an oral presentation at the Complex Data Modelling and Computationally Intensive Methods for Estimation and Prediction in Milano, Italy

## Publications

• Lomeli, M., Favaro, S., Teh, Y. W.,'' A marginal sampler for $\sigma$-Stable Poisson-Kingman mixture models'', Journal of Computational and Graphical Statistics, 2017, Vol 26, 44-53 JCGS.
• Favaro, S., Lomeli, M., Nipoti, B., Teh, Y.W., ''Stick-breaking representations of $\sigma$-stable Poisson-Kingman models'' , Electronic Journal of Statistics, 2014, Vol. 8, pp 1063-1085 EJS.
• Favaro, S., Lomeli, M., Teh, Y.W.,''On a class of $\sigma$-stable Poisson-Kingman models and an effective marginalized sampler'', Statistics and Computing, 2014, Vol 25, pp 67-78 StCo.

## Proceedings

• Lomeli, M., Favaro, S.,Teh, Y.W., 2015, ''A hybrid sampler for Poisson-Kingman mixture models'', Neural information Processing Systems NIPS
• Sejdinovic, D., Strathmann, H., Lomeli Garcia, M., Andrieu, C., Gretton, A., 2014,''Kernel Adaptive Metropolis-Hastings'', International Conference in Machine Learning ICML
• Favaro, S., Lomeli, M., Nipoti, B., Teh, Y.W., 2013, ''Stick-breaking representations of $1/2$-stable Poisson-Kingman models'', Complex Data Modelling and Computationally Intensive Methods for Estimation and Prediction conference.

## Theses and projects

• General Bayesian inference schemes in infinite mixture models
PhD thesis, University College London
Arxiv version: arXiv:1702.08781
• Consistencia Posterior de Modelos Bayesianos No Paramétricos
(Posterior Consistency of Bayesian Nonparametric Models)
MSc project, UNAM
Available upon request (In Spanish)
• Qué tan "expertos" son los Expertos: Un Modelo de Evaluación y Pronóstico
Available upon request (In Spanish)

## Talks

• Dec 2, 2016. Mark Rowland and I gave a talk at the Machine Learning group, CBL, University of Cambridge
• June 14, 2016. Talk at the ''Bayes Legacy'' sesssion, 13th ISBA Wold meeting in Sardinia, Italy
• June 2, 2016. Talk at the Machine Learning group, CBL, University of Cambridge
• May 5, 2016. Talk at Machine Learning reading group, CBL, University of Cambridge
• July 16, 2015. Talk at CBL, University of Cambridge
• June 22, 2015. Talk at the 10th Bayesian Nonparametrics conference
• June 15, 2015. Talk at the 9th Bayesian Inference for Stochastic Processes conference
• January 26, 2014. Talk at the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México
• October 24, 2014. Talk at the Computational Statistics seminar, University of Oxford
• September 24, 2014. Talk at CBL, University of Cambridge
• March 3, 2014. Talk at the workshop Advances in Scalable Bayesian Computation, available online here

## Teaching

• Teaching Assistant, Statistical Data Mining and Machine Learning MSc in Applied Statistics course, Oxford University (Hilary term 2014 and 2015)
• Teaching Assistant, Probabilistic and Unsupervised Learning graduate course, UCL (Autumn, 2012)
• Lecturer, Stochastic Processes, undergraduate course, Instituto Tecnológico Autónomo de México (Summer, 2011)

## Reviewing

• International Conference in Machine Learning
• Computational Statistics and Data Analysis
• Statistics and Computing
• Neural Information Processing Systems
• AISTATS

## Miscellaneous

I was one of the organisers of our CSML Lunch Talk Series.

## Contact

maria.lomeli@eng.cam.ac.uk
Computational and Biological Lab
Department of Engineering
University of Cambridge