Irina Gaynanova

According to our database, Irina Gaynanova authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

singR: An R Package for Simultaneous Non-Gaussian Component Analysis for Data Integration.

Liangkang Wang, Irina Gaynanova, Benjamin Risk

R J., 2024

GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks.

Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel J. Fernandes, Nicholas Kasman, Irina Gaynanova

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Gluformer: Transformer-based Personalized glucose Forecasting with uncertainty quantification.

Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Double-Matched Matrix Decomposition for Multi-View Data.

Dongbang Yuan, Irina Gaynanova

J. Comput. Graph. Stat., October, 2022

2021

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

Mingze Huang, Christian L. Müller, Irina Gaynanova

J. Open Source Softw., 2021

Fast Computation of Latent Correlations.

Grace Yoon, Christian L. Müller, Irina Gaynanova

J. Comput. Graph. Stat., 2021

Compressing large sample data for discriminant analysis.

Alexander F. Lapanowski, Irina Gaynanova

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Sparse quadratic classification rules via linear dimension reduction.

Irina Gaynanova, Tianying Wang

J. Multivar. Anal., 2019

Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring.

Alexander F. Lapanowski, Irina Gaynanova

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Joint association and classification analysis of multi-view data.

Yunfeng Zhang, Irina Gaynanova

CoRR, 2018

2016

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

Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian L. Müller

CoRR, 2016