v1v2v3 (latest)

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

10 August 2013

Antoine Deleforge

F. Forbes

Radu Horaud

ArXiv (abs)PDF HTML

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 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 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 Krishan Mohan Nagpal 54 0 0 12 Sep 2024
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 Ning Wang Xin Zhang Qing Mai 60 2 0 21 Jul 2023
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 Udai G. Nagpal K. Nagpal 69 1 0 02 May 2022
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models TrungTin Nguyen Faicel Chamroukhi Hien Nguyen F. Forbes 66 9 0 18 Apr 2021
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 Hien Nguyen TrungTin Nguyen Faicel Chamroukhi Geoffrey J. McLachlan 72 22 0 04 Dec 2020
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 Xavier Alameda-Pineda Vincent Drouard Radu Horaud 70 12 0 02 Jun 2020
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 Emilie Devijver Émeline Perthame 53 8 0 09 Jul 2018
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 Ziteng Wang Emmanuel Vincent Yonghong Yan 58 1 0 25 Oct 2017
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 Hien Nguyen Faicel Chamroukhi MoE 57 7 0 12 Jul 2017
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 Clément Gaultier Saurabh Kataria Antoine Deleforge 49 15 0 14 Dec 2016
Hearing in a shoe-box : binaural source position and wall absorption estimation using virtually supervised learning Saurabh Kataria Clément Gaultier Antoine Deleforge SSL 50 10 0 30 Sep 2016
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 78 78 0 31 Mar 2016
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 Antoine Deleforge Radu Horaud Y. Schechner Laurent Girin 131 55 0 12 Aug 2014
Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds Antoine Deleforge F. Forbes Radu Horaud 96 92 0 11 Feb 2014