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papers

Publications (25)

math.ST2017

Robust estimation of mixing measures in finite mixture models

Nhat Ho, XuanLong Nguyen, Ya'acov Ritov

cs.LG2014

Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts

Vu Nguyen, Dinh Phung, XuanLong Nguyen +2

math.ST2009

Estimating divergence functionals and the likelihood ratio by convex risk minimization

XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan

math.ST2012

Sequential detection of multiple change points in networks: a graphical model approach

Arash Ali Amini, XuanLong Nguyen

math.ST2019

Local inversion-free estimation of spatial Gaussian processes

Hossein Keshavarz, XuanLong Nguyen, Clayton Scott

math.ST2019

On posterior contraction of parameters and interpretability in Bayesian mixture modeling

Aritra Guha, Nhat Ho, XuanLong Nguyen

math.ST2016

On the consistency of inversion-free parameter estimation for Gaussian random fields

Hossein Keshavarz, Clayton Scott, XuanLong Nguyen

math.ST2015

Posterior contraction of the population polytope in finite admixture models

XuanLong Nguyen

math.ST2019

Singularity structures and impacts on parameter estimation in finite mixtures of distributions

Nhat Ho, XuanLong Nguyen

cs.DB2019

A Layered Aggregate Engine for Analytics Workloads

Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis +2

math.ST2009

On surrogate loss functions and $f$-divergences

XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan

stat.ML2017

Conic Scan-and-Cover algorithms for nonparametric topic modeling

Mikhail Yurochkin, Aritra Guha, XuanLong Nguyen

math.ST2013

Convergence of latent mixing measures in finite and infinite mixture models

XuanLong Nguyen

stat.ML2016

Geometric Dirichlet Means algorithm for topic inference

Mikhail Yurochkin, XuanLong Nguyen

stat.ML2013

Bayesian inference as iterated random functions with applications to sequential inference in graphical models

Arash A. Amini, XuanLong Nguyen

stat.ML2019

Dirichlet Simplex Nest and Geometric Inference

Mikhail Yurochkin, Aritra Guha, Yuekai Sun +1

math.ST2008

On optimal quantization rules for some problems in sequential decentralized detection

XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan

math.ST2016

Borrowing strengh in hierarchical Bayes: Posterior concentration of the Dirichlet base measure

XuanLong Nguyen

cs.NE2013

Modeling The Stable Operating Envelope For Partially Stable Combustion Engines Using Class Imbalance Learning

Vijay Manikandan Janakiraman, XuanLong Nguyen, Jeff Sterniak +1

cs.DB2018

AC/DC: In-Database Learning Thunderstruck

Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen +2

math.ST2017

Optimal change point detection in Gaussian processes

Hossein Keshavarz, Clayton Scott, XuanLong Nguyen

math.ST2015

Identifiability and optimal rates of convergence for parameters of multiple types in finite mixtures

Nhat Ho, XuanLong Nguyen

stat.ML2017

Multi-way Interacting Regression via Factorization Machines

Mikhail Yurochkin, XuanLong Nguyen, Nikolaos Vasiloglou

stat.ML2017

Multilevel Clustering via Wasserstein Means

Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin +3

stat.ME2011

Inference of global clusters from locally distributed data

XuanLong Nguyen