Ery Arias Castro
On the Estimation of Latent Distances Using Graph Distances
http://www.math.ucsd.edu/ eariasca/
University of California

Christophe Biernacki
Impact of missing data on mixtures and clustering
http://math.univ-lille1.fr/ biernack/
Inria et Université de Lille

Alexandra Carpentier
One and two sided composite-composite tests in Gaussian mixture models
https://sites.google.com/site/alexandracarpentierresearch/
Otto von Guericke Universitaet Magdeburg

Ismael Castillo
Multiple testing in nonparametric Hidden Markov Models : an empirical Bayes approach
https://www.lpsm.paris/pageperso/castillo/
Sorbonne Université

Jiahua Chen
Distributed Learning of Gaussian Mixture Models.
https://www.stat.ubc.ca/ jhchen/
University of British Columbia||

Mathias Drton
A Bayesian information criterion for singular models
https://www.groups.ma.tum.de/statistics/personen/mathias-drton/
TU Munich

Christian Hennig
An Adequacy Approach to Estimating the Number of Clusters
https://www.unibo.it/sitoweb/christian.hennig/en
University of Bologna

Daniel Hsu
TBA
https://www.cs.columbia.edu/ djhsu/
Columbia University

Yuichi Kitamura
Nonparametric Identification and Estimation of Finite Mixture Models with Econometric Applications
https://kitamura.sites.yale.edu/
Yale University

Christine Keribin
Asympotic criteria for model selection in the latent block model
https://www.imo.universite-paris-saclay.fr/ keribin/
Université Paris-Saclay

Claire Lacour
Semiparametric inference for mixtures of circular data
http://lacour.perso.math.cnrs.fr/
Université Gustave Eiffel

Sylvain Le Corff
Inference of general state space models with intractable likelihood
https://sylvainlc.github.io/
Télécom SudParis|

Michael Levine
Two component nonparametric density mixture with a known component
https://www.stat.purdue.edu/ mlevins/index.html
Purdue University

Matthias Loeffler
Optimality of Spectral Clustering for the Gaussian Mixture Model
https://people.math.ethz.ch/ mloeffler/
ETH Zurich

Catherine Matias
The stochastic blockmodel for interaction events
http://cmatias.perso.math.cnrs.fr/
CNRS

Pradeep Ravikumar
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
https://www.cs.cmu.edu/ pradeepr/
Carnegie Mellon University

Stéphane Robin
Variational inference for latent variable models, and beyond
https://www6.inrae.fr/mia-paris/Equipes/Membres/Stephane-Robin
INRAE

Judith Rousseau
TBA
http://www.stats.ox.ac.uk/ rousseau/
University of Oxford

Grégory Valiant
Estimation and Learning Beyond the IID Setting
https://theory.stanford.edu/ valiant/
Stanford University

Nicolas Verzelen
Partial recovery bounds for clustering with the relaxed Kmeans
http://nicolas.verzelen.free.fr/
INRAE

Nick Whiteley
The Viterbi Process and Decay Convexity
https://sites.google.com/view/nickwhiteley/
University of Bristol

Yihong Wu
Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models
http://www.stat.yale.edu/ yw562/
Yale University

Weixin Yao
A unified tool for the root selection and the hypothesis testing for mixture models
https://faculty.ucr.edu/~weixiny/
University of California