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High-Dimensional Regression with Gaussian Mixtures and Partially-Latent
  Response Variables
v1v2v3 (latest)

High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables

10 August 2013
Antoine Deleforge
F. Forbes
Radu Horaud
ArXiv (abs)PDFHTML

Papers citing "High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables"

25 / 25 papers shown
Title
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
Tuan Thai
TrungTin Nguyen
Dat Do
Nhat Ho
Christopher Drovandi
200
0
0
19 May 2025
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
Henrik Häggström
Sebastian Persson
Marija Cvijovic
Umberto Picchini
61
0
0
15 Apr 2025
Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current
  Market Conditions
Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current Market Conditions
Krishan Mohan Nagpal
54
0
0
12 Sep 2024
A General Theory for Softmax Gating Multinomial Logistic Mixture of
  Experts
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
Huy Nguyen
Pedram Akbarian
TrungTin Nguyen
Nhat Ho
108
14
0
22 Oct 2023
Statistical analysis for a penalized EM algorithm in high-dimensional
  mixture linear regression model
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model
Ning Wang
Xin Zhang
Qing Mai
60
2
0
21 Jul 2023
Towards Convergence Rates for Parameter Estimation in Gaussian-gated
  Mixture of Experts
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
Huy Nguyen
TrungTin Nguyen
Khai Nguyen
Nhat Ho
MoE
130
14
0
12 May 2023
Cluster-based Regression using Variational Inference and Applications in
  Financial Forecasting
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting
Udai G. Nagpal
K. Nagpal
54
1
0
02 May 2022
Non-asymptotic model selection in block-diagonal mixture of polynomial
  experts models
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models
TrungTin Nguyen
Faicel Chamroukhi
Hien Nguyen
F. Forbes
64
9
0
18 Apr 2021
A non-asymptotic approach for model selection via penalization in
  high-dimensional mixture of experts models
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models
TrungTin Nguyen
Hien Nguyen
Faicel Chamroukhi
F. Forbes
98
13
0
06 Apr 2021
Approximations of conditional probability density functions in Lebesgue
  spaces via mixture of experts models
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
Hien Nguyen
TrungTin Nguyen
Faicel Chamroukhi
Geoffrey J. McLachlan
68
22
0
04 Dec 2020
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for
  High-Dimensional Mixed Linear Regression
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression
Linjun Zhang
Rong Ma
T. Tony Cai
Hongzhe Li
61
12
0
06 Nov 2020
Variational Inference and Learning of Piecewise-linear Dynamical Systems
Variational Inference and Learning of Piecewise-linear Dynamical Systems
Xavier Alameda-Pineda
Vincent Drouard
Radu Horaud
70
12
0
02 Jun 2020
Variational Bayesian Inference for Audio-Visual Tracking of Multiple
  Speakers
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers
Yutong Ban
Xavier Alameda-Pineda
Laurent Girin
Radu Horaud
77
50
0
28 Sep 2018
Prediction regions through Inverse Regression
Prediction regions through Inverse Regression
Emilie Devijver
Émeline Perthame
53
8
0
09 Jul 2018
Covariance constraints for stochastic inverse problems of computer
  models
Covariance constraints for stochastic inverse problems of computer models
Nicolas Bousquet
Mélanie Blazère
Thomas Cerbelaud
77
0
0
09 Jun 2018
Relative Transfer Function Inverse Regression from Low Dimensional
  Manifold
Relative Transfer Function Inverse Regression from Low Dimensional Manifold
Ziteng Wang
Emmanuel Vincent
Yonghong Yan
48
1
0
25 Oct 2017
Plane-extraction from depth-data using a Gaussian mixture regression
  model
Plane-extraction from depth-data using a Gaussian mixture regression model
Richard T. Marriott
Alexander Pashevich
Radu Horaud
3DV
99
16
0
05 Oct 2017
An Introduction to the Practical and Theoretical Aspects of
  Mixture-of-Experts Modeling
An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling
Hien Nguyen
Faicel Chamroukhi
MoE
57
7
0
12 Jul 2017
Nonlinear network-based quantitative trait prediction from
  transcriptomic data
Nonlinear network-based quantitative trait prediction from transcriptomic data
Emilie Devijver
M. Gallopin
Émeline Perthame
78
8
0
26 Jan 2017
VAST : The Virtual Acoustic Space Traveler Dataset
VAST : The Virtual Acoustic Space Traveler Dataset
Clément Gaultier
Saurabh Kataria
Antoine Deleforge
46
15
0
14 Dec 2016
Hearing in a shoe-box : binaural source position and wall absorption
  estimation using virtually supervised learning
Hearing in a shoe-box : binaural source position and wall absorption estimation using virtually supervised learning
Saurabh Kataria
Clément Gaultier
Antoine Deleforge
SSL
41
10
0
30 Sep 2016
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear
  Regressions
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions
Vincent Drouard
Radu Horaud
Antoine Deleforge
Silèye O. Ba
Georgios D. Evangelidis
3DH
58
78
0
31 Mar 2016
Hyper-Spectral Image Analysis with Partially-Latent Regression and
  Spatial Markov Dependencies
Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies
Antoine Deleforge
F. Forbes
Silèye O. Ba
Radu Horaud
59
13
0
30 Sep 2014
Co-Localization of Audio Sources in Images Using Binaural Features and
  Locally-Linear Regression
Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression
Antoine Deleforge
Radu Horaud
Y. Schechner
Laurent Girin
128
55
0
12 Aug 2014
Acoustic Space Learning for Sound Source Separation and Localization on
  Binaural Manifolds
Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds
Antoine Deleforge
F. Forbes
Radu Horaud
96
92
0
11 Feb 2014
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