Non-convex Global Minimization and False Discovery Rate Control for the TREX. - Jacob Bien; Irina Gaynanova; Johannes Lederer; Christian L. Müller (CoRR, 2016)

Joint association and classification analysis of multi-view data. - Yunfeng Zhang; Irina Gaynanova (CoRR, 2018)

Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring. - Alexander F. Lapanowski; Irina Gaynanova (AISTATS, 2019)

Sparse quadratic classification rules via linear dimension reduction. - Irina Gaynanova; Tianying Wang (J. Multivar. Anal., 2019)

Compressing large sample data for discriminant analysis. - Alexander F. Lapanowski; Irina Gaynanova (IEEE BigData, 2021)

Fast Computation of Latent Correlations. - Grace Yoon; Christian L. Müller; Irina Gaynanova (J. Comput. Graph. Stat., 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)

Double-Matched Matrix Decomposition for Multi-View Data. - Dongbang Yuan; Irina Gaynanova (J. Comput. Graph. Stat., 2022)

Gluformer: Transformer-based Personalized glucose Forecasting with uncertainty quantification. - Renat Sergazinov; Mohammadreza Armandpour; Irina Gaynanova (ICASSP, 2023)

GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks. - Renat Sergazinov; Elizabeth Chun; Valeriya Rogovchenko; Nathaniel J. Fernandes; Nicholas Kasman; Irina Gaynanova (ICLR, 2024)

A spectral method for multi-view subspace learning using the product of projections. - Renat Sergazinov; Armeen Taeb; Irina Gaynanova (CoRR, 2024)

singR: An R Package for Simultaneous Non-Gaussian Component Analysis for Data Integration. - Liangkang Wang; Irina Gaynanova; Benjamin Risk (R J., 2024)

fastfrechet: An R package for fast implementation of Fréchet regression with distributional responses. - Alexander Coulter; Rebecca Lee; Irina Gaynanova (J. Open Source Softw., 2025)