Irina Gaynanova | DeepAI

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∙ 11/09/2022

singR: An R package for Simultaneous non-Gaussian Component Analysis for data integration

This paper introduces an R package that implements Simultaneous non-Gaus...

0 Liangkang Wang, et al. ∙

∙ 09/09/2022

Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification

Deep learning models achieve state-of-the art results in predicting bloo...

18 Renat Sergazinov, et al. ∙

∙ 08/07/2022

Sparse semiparametric discriminant analysis for high-dimensional zero-inflated data

Sequencing-based technologies provide an abundance of high-dimensional b...

0 Hee Cheol Chung, et al. ∙

∙ 07/29/2022

Exponential canonical correlation analysis with orthogonal variation

Canonical correlation analysis (CCA) is a standard tool for studying ass...

0 Dongbang Yuan, et al. ∙

∙ 06/26/2022

Hierarchical nuclear norm penalization for multi-view data

The prevalence of data collected on the same set of samples from multipl...

0 Sangyoon Yi, et al. ∙

∙ 05/17/2022

A case study of glucose levels during sleep using fast function on scalar regression inference

Continuous glucose monitors (CGMs) are increasingly used to measure bloo...

0 Renat Sergazinov, et al. ∙

∙ 08/20/2021

latentcor: An R Package for estimating latent correlations from mixed data types

We present `latentcor`, an R package for correlation estimation from dat...

0 Mingze Huang, et al. ∙

∙ 05/11/2021

Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks

Microorganisms play a critical role in host health. The advancement of h...

0 Hee Cheol Chung, et al. ∙

∙ 05/07/2021

Double-matched matrix decomposition for multi-view data

We consider the problem of extracting joint and individual signals from ...

0 Dongbang Yuan, et al. ∙

∙ 06/24/2020

Fast computation of latent correlations

Latent Gaussian copula models provide a powerful means to perform multi-...

0 Grace Yoon, et al. ∙

∙ 05/08/2020

Compressing Large Sample Data for Discriminant Analysis

Large-sample data became prevalent as data acquisition became cheaper an...

0 Alexander F. Lapanowski, et al. ∙

∙ 05/01/2020

Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging

As advances in technology allow the acquisition of complementary informa...

0 Benjamin Risk, et al. ∙

∙ 02/12/2019

Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring

We consider the two-group classification problem and propose a kernel cl...

0 Alexander F. Lapanowski, et al. ∙

∙ 11/20/2018

Joint association and classification analysis of multi-view data

Multi-view data, that is matched sets of measurements on the same subjec...

0 Yunfeng Zhang, et al. ∙

∙ 09/12/2018

Prediction and estimation consistency of sparse multi-class penalized optimal scoring

Sparse linear discriminant analysis via penalized optimal scoring is a s...

0 Irina Gaynanova, et al. ∙

∙ 07/13/2018

Sparse semiparametric canonical correlation analysis for data of mixed types

Canonical correlation analysis investigates linear relationships between...

0 Grace Yoon, et al. ∙

∙ 01/04/2018

Prediction Error Bounds for Linear Regression With the TREX

The TREX is a recently introduced approach to sparse linear regression. ...

0 Jacob Bien, et al. ∙

∙ 11/13/2017

Sparse quadratic classification rules via linear dimension reduction

We consider the problem of high-dimensional classification between the t...

0 Irina Gaynanova, et al. ∙

∙ 07/20/2017

Structural Learning and Integrative Decomposition of Multi-View Data

The increased availability of the multi-view data (data on the same samp...

0 Irina Gaynanova, et al. ∙

∙ 08/01/2016

Oracle Inequalities for High-dimensional Prediction

The abundance of high-dimensional data in the modern sciences has genera...

0 Johannes Lederer, et al. ∙

∙ 04/22/2016

Non-convex Global Minimization and False Discovery Rate Control for the TREX

The TREX is a recently introduced method for performing sparse high-dime...

0 Jacob Bien, et al. ∙

∙ 11/23/2014

Optimal variable selection in multi-group sparse discriminant analysis

This article considers the problem of multi-group classification in the ...

0 Irina Gaynanova, et al. ∙

∙ 10/22/2014

Penalized versus constrained generalized eigenvalue problems

We investigate the difference between using an ℓ_1 penalty versus an ℓ_1...

0 Irina Gaynanova, et al. ∙

∙ 03/24/2014

Simultaneous sparse estimation of canonical vectors in the p>>N setting

This article considers the problem of sparse estimation of canonical vec...

0 Irina Gaynanova, et al. ∙

∙ 01/21/2013

Supervised Classification Using Sparse Fisher's LDA

It is well known that in a supervised classification setting when the nu...

0 Irina Gaynanova, et al. ∙

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