Ery Arias Castro
On the Estimation of Latent Distances Using Graph Distances eariasca/
University of California

Christophe Biernacki
Impact of missing data on mixtures and clustering biernack/
Inria et Université de Lille

Alexandra Carpentier
One and two sided composite-composite tests in Gaussian mixture models
Otto von Guericke Universitaet Magdeburg

Ismael Castillo
Multiple testing in nonparametric Hidden Markov Models : an empirical Bayes approach
Sorbonne Université

Jiahua Chen
Distributed Learning of Gaussian Mixture Models. jhchen/
University of British Columbia||

Mathias Drton
A Bayesian information criterion for singular models
TU Munich

Christian Hennig
An Adequacy Approach to Estimating the Number of Clusters
University of Bologna

Daniel Hsu
TBA djhsu/
Columbia University

Yuichi Kitamura
Nonparametric Identification and Estimation of Finite Mixture Models with Econometric Applications
Yale University

Christine Keribin
Asympotic criteria for model selection in the latent block model keribin/
Université Paris-Saclay

Claire Lacour
Semiparametric inference for mixtures of circular data
Université Gustave Eiffel

Sylvain Le Corff
Inference of general state space models with intractable likelihood
Télécom SudParis|

Michael Levine
Two component nonparametric density mixture with a known component mlevins/index.html
Purdue University

Matthias Loeffler
Optimality of Spectral Clustering for the Gaussian Mixture Model mloeffler/
ETH Zurich

Catherine Matias
The stochastic blockmodel for interaction events

Pradeep Ravikumar
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering pradeepr/
Carnegie Mellon University

Stéphane Robin
Variational inference for latent variable models, and beyond

Judith Rousseau
TBA rousseau/
University of Oxford

Grégory Valiant
Estimation and Learning Beyond the IID Setting valiant/
Stanford University

Nicolas Verzelen
Partial recovery bounds for clustering with the relaxed Kmeans

Nick Whiteley
The Viterbi Process and Decay Convexity
University of Bristol

Yihong Wu
Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models yw562/
Yale University

Weixin Yao
A unified tool for the root selection and the hypothesis testing for mixture models
University of California