Irina Gaynanova

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Global Minimization

Discriminant Analysis

Component Analysis

Top Venues

J. Comput. Graph. Stat.

Publications

Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel J. Fernandes, Nicholas Kasman, Irina Gaynanova
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks. ICLR (2024)
Liangkang Wang, Irina Gaynanova, Benjamin Risk
singR: An R Package for Simultaneous Non-Gaussian Component Analysis for Data Integration. R J. 15 (4) (2024)
Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova
Gluformer: Transformer-based Personalized glucose Forecasting with uncertainty quantification. ICASSP (2023)
Dongbang Yuan, Irina Gaynanova
Double-Matched Matrix Decomposition for Multi-View Data. J. Comput. Graph. Stat. 31 (4) (2022)
Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification. CoRR (2022)
Grace Yoon, Christian L. Müller, Irina Gaynanova
Fast Computation of Latent Correlations. J. Comput. Graph. Stat. 30 (4) (2021)
Mingze Huang, Christian L. Müller, Irina Gaynanova
latentcor: An R Package for estimating latent correlations from mixed data types. J. Open Source Softw. 6 (65) (2021)
Alexander F. Lapanowski, Irina Gaynanova
Compressing large sample data for discriminant analysis. IEEE BigData (2021)
Alexander F. Lapanowski, Irina Gaynanova
Compressing Large Sample Data for Discriminant Analysis. CoRR (2020)
Irina Gaynanova, Tianying Wang
Sparse quadratic classification rules via linear dimension reduction. J. Multivar. Anal. 169 (2019)
Alex Lapanowski, Irina Gaynanova
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring. CoRR (2019)
Alexander F. Lapanowski, Irina Gaynanova
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring. AISTATS (2019)
Yunfeng Zhang, Irina Gaynanova
Joint association and classification analysis of multi-view data. CoRR (2018)
Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian L. Müller
Non-convex Global Minimization and False Discovery Rate Control for the TREX. CoRR (2016)