Irina Gaynanova

18 papers A* 1A 1Misc 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data. J. Mach. Learn. Res. Hee Cheol Chung, Yang Ni, Irina Gaynanova
2025	J	`jnl`	fastfrechet: An R package for fast implementation of Fréchet regression with distributional responses. J. Open Source Softw. Alexander Coulter, Rebecca Lee, Irina Gaynanova
2024	J	`jnl`	A spectral method for multi-view subspace learning using the product of projections. CoRR Renat Sergazinov, Armeen Taeb, Irina Gaynanova
2024	A*	`conf`	GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks. ICLR Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel J. Fernandes, Nicholas Kasman, Irina Gaynanova
2024	J	`jnl`	GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks. CoRR Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel J. Fernandes, Nicholas Kasman, Irina Gaynanova
2024	J	`jnl`	singR: An R Package for Simultaneous Non-Gaussian Component Analysis for Data Integration. R J. Liangkang Wang, Irina Gaynanova, Benjamin Risk
2023	Misc	`conf`	Gluformer: Transformer-based Personalized glucose Forecasting with uncertainty quantification. ICASSP Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova
2022	J	`jnl`	Double-Matched Matrix Decomposition for Multi-View Data. J. Comput. Graph. Stat. Dongbang Yuan, Irina Gaynanova
2022	J	`jnl`	Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification. CoRR Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova
2021	—	`conf`	Compressing large sample data for discriminant analysis. IEEE BigData Alexander F. Lapanowski, Irina Gaynanova
2021	J	`jnl`	Fast Computation of Latent Correlations. J. Comput. Graph. Stat. Grace Yoon, Christian L. Müller, Irina Gaynanova
2021	J	`jnl`	latentcor: An R Package for estimating latent correlations from mixed data types. J. Open Source Softw. Mingze Huang, Christian L. Müller, Irina Gaynanova
2020	J	`jnl`	Compressing Large Sample Data for Discriminant Analysis. CoRR Alexander F. Lapanowski, Irina Gaynanova
2019	A	`conf`	Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring. AISTATS Alexander F. Lapanowski, Irina Gaynanova
2019	J	`jnl`	Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring. CoRR Alex Lapanowski, Irina Gaynanova
2019	J	`jnl`	Sparse quadratic classification rules via linear dimension reduction. J. Multivar. Anal. Irina Gaynanova, Tianying Wang
2018	J	`jnl`	Joint association and classification analysis of multi-view data. CoRR Yunfeng Zhang, Irina Gaynanova
2016	J	`jnl`	Non-convex Global Minimization and False Discovery Rate Control for the TREX. CoRR Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian L. Müller