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Genevera I. Allen
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- affiliation: Rice University, Houston, TX, USA
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2020 – today
- 2024
- [j15]Camille Olivia Little, Debolina Halder Lina, Genevera I. Allen:
Fair Feature Importance Scores for Interpreting Decision Trees. Trans. Mach. Learn. Res. 2024 (2024) - [c25]Dingding Ye, Charan Santhirasegaran, Ryan Pai, Genevera I. Allen, Joseph Young:
Addressing Confounds in Functional Connectivity Analyses of Calcium Imaging. ICASSP 2024: 2146-2150 - [c24]Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra:
Data Augmentation via Subgroup Mixup for Improving Fairness. ICASSP 2024: 7350-7354 - [i16]Camille Olivia Little, Genevera I. Allen:
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting. CoRR abs/2404.01521 (2024) - 2023
- [j14]Xu Han, Wanli Wang, Li-Hua Ma, Ismael Ai-Ramahi, Juan Botas
, Kevin Mackenzie, Genevera I. Allen, Damian W. Young, Zhandong Liu
SPA-STOCSY: an automated tool for identifying annotated and non-annotated metabolites in high-throughput NMR spectra. Bioinform. 39(10) (2023) - [i15]Genevera I. Allen, Luqin Gan, Lili Zheng:
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities. CoRR abs/2308.01475 (2023) - [i14]Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra:
Data Augmentation via Subgroup Mixup for Improving Fairness. CoRR abs/2309.07110 (2023) - [i13]Camille Olivia Little, Debolina Halder Lina, Genevera I. Allen:
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates. CoRR abs/2310.04352 (2023) - 2022
- [j13]Luqin Gan, Giuseppe Vinci
Correlation Imputation for Single-Cell RNA-seq. J. Comput. Biol. 29(5): 465-482 (2022) - [j12]Luqin Gan
Fast and interpretable consensus clustering via minipatch learning. PLoS Comput. Biol. 18(10): 1010577 (2022) - [c23]Arko Barman, Su Chen, Andersen Chang, Genevera I. Allen:
Experiential Learning in Data Science Through a Novel Client-Facing Consulting Course. FIE 2022: 1-9 - [c22]Lili Zheng, Genevera I. Allen:
Learning Gaussian Graphical Models with Differing Pairwise Sample Sizes. ICASSP 2022: 5588-5592 - [i12]Camille Olivia Little, Michael Weylandt, Genevera I. Allen:
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier. CoRR abs/2206.00074 (2022) - [i11]Luqin Gan, Lili Zheng, Genevera I. Allen:
Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance. CoRR abs/2206.02088 (2022) - 2021
- [j11]Minjie Wang, Genevera I. Allen:
Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data. J. Mach. Learn. Res. 22: 55:1-55:73 (2021) - [j10]Tiffany M. Tang, Genevera I. Allen:
Integrated Principal Components Analysis. J. Mach. Learn. Res. 22: 198:1-198:71 (2021) - [c21]Xin Tan, Yanwan Dai, Ahmed Imtiaz Humayun, Haoze Chen
Detection of Junctional Ectopic Tachycardia by Central Venous Pressure. AIME 2021: 258-262 - [c20]Tianyi Yao, Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk, Genevera I. Allen:
Minipatch Learning as Implicit Ridge-Like Regularization. BigComp 2021: 65-68 - [c19]Mohammad Taha Toghani, Genevera I. Allen:
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling. BigComp 2021: 75-78 - [c18]Genevera I. Allen:
Experiential Learning in Data Science: Developing an Interdisciplinary, Client-Sponsored Capstone Program. SIGCSE 2021: 516-522 - [i10]Minjie Wang, Genevera I. Allen:
Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity. CoRR abs/2104.06389 (2021) - [i9]Luqin Gan, Genevera I. Allen:
Fast and Interpretable Consensus Clustering via Minipatch Learning. CoRR abs/2110.02388 (2021) - [i8]Tianyi Yao, Minjie Wang, Genevera I. Allen:
Gaussian Graphical Model Selection for Huge Data via Minipatch Learning. CoRR abs/2110.12067 (2021) - [i7]Madeline Navarro, Genevera I. Allen, Michael Weylandt:
Network Clustering for Latent State and Changepoint Detection. CoRR abs/2111.01273 (2021) - 2020
- [c17]Luqin Gan, Giuseppe Vinci, Genevera I. Allen:
Correlation Imputation in Single cell RNA-seq using Auxiliary Information and Ensemble Learning. BCB 2020: 41:1-41:6 - [c16]Kelly Geyer, Frederick Campbell, Andersen Chang, John F. Magnotti, Michael S. Beauchamp
Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data. IEEE BigData 2020: 2664-2673 - [i6]Tianyi Yao, Genevera I. Allen:
Feature Selection for Huge Data via Minipatch Learning. CoRR abs/2010.08529 (2020) - [i5]Mohammad Taha Toghani, Genevera I. Allen:
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling. CoRR abs/2011.07218 (2020) - [i4]Kelly Geyer, Frederick Campbell, Andersen Chang, John F. Magnotti, Michael S. Beauchamp, Genevera I. Allen:
Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data. CoRR abs/2011.09447 (2020) - [i3]Michael Weylandt, T. Mitchell Roddenberry, Genevera I. Allen:
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering. CoRR abs/2012.04762 (2020)
2010 – 2019
- 2019
- [j9]Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu, David B. Dunson:
Tensor network factorizations: Relationships between brain structural connectomes and traits. NeuroImage 197: 330-343 (2019) - [c15]Genevera I. Allen, Michael Weylandt
Sparse and Functional Principal Components Analysis. DSW 2019: 11-16 - [c14]Andersen Chang
Graphical Models and Dynamic Latent Factors for Modeling Functional Brain Connectivity. DSW 2019: 57-63 - [c13]Tianyi Yao, Genevera I. Allen:
Clustered Gaussian Graphical Model Via Symmetric Convex Clustering. DSW 2019: 76-82 - [i2]Michael Weylandt, John Nagorski, Genevera I. Allen:
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization. CoRR abs/1901.01477 (2019) - [i1]Tianyi Yao, Genevera I. Allen:
Clustered Gaussian Graphical Model via Symmetric Convex Clustering. CoRR abs/1905.13251 (2019) - 2018
- [j8]Haidong Yi, Ayush T. Raman
Detecting hidden batch factors through data-adaptive adjustment for biological effects. Bioinform. 34(7): 1141-1147 (2018) - 2017
- [j7]Zhandong Liu
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools. BMC Bioinform. 18(S-11): 405:1-405:3 (2017) - 2016
- [j6]Ying-Wooi Wan, Genevera I. Allen, Zhandong Liu
TCGA2STAT: simple TCGA data access for integrated statistical analysis in R. Bioinform. 32(6): 952-954 (2016) - [j5]Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Matthew Anderson
XMRF: an R package to fit Markov Networks to high-throughput genetics data. BMC Syst. Biol. 10(S-3): 69 (2016) - 2015
- [j4]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical models via univariate exponential family distributions. J. Mach. Learn. Res. 16: 3813-3847 (2015) - [j3]Genevera I. Allen, Frederick Campbell, Yue Hu:
Comments on "visualizing statistical models": Visualizing modern statistical methods for Big Data. Stat. Anal. Data Min. 8(4): 226-228 (2015) - [c12]Manjari Narayan
Population Inference for Node Level Differences in Multi-subject Functional Connectivity. PRNI 2015: 53-56 - 2014
- [c11]Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Mixed Graphical Models via Exponential Families. AISTATS 2014: 1042-1050 - 2013
- [j2]Genevera I. Allen, Christine B. Peterson
Regularized partial least squares with an application to NMR spectroscopy. Stat. Anal. Data Min. 6(4): 302-314 (2013) - [c10]Genevera I. Allen:
Multi-way functional principal components analysis. CAMSAP 2013: 220-223 - [c9]Ying-Wooi Wan, John Nagorski, Genevera I. Allen, Zhaohui Li, Zhandong Liu
Identifying cancer biomarkers through a network regularized Cox model. GENSiPS 2013: 36-39 - [c8]Eric C. Chi
Imaging genetics via sparse canonical correlation analysis. ISBI 2013: 740-743 - [c7]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Conditional Random Fields via Univariate Exponential Families. NIPS 2013: 683-691 - [c6]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
On Poisson Graphical Models. NIPS 2013: 1718-1726 - [c5]Manjari Narayan
Randomized Approach to Differential Inference in Multi-subject Functional Connectivity. PRNI 2013: 78-81 - [c4]Yue Hu, Genevera I. Allen:
Local-Aggregate Modeling for Multi-subject Neuroimage Data via Distributed Optimization. PRNI 2013: 207-210 - 2012
- [c3]Genevera I. Allen, Zhandong Liu
A Log-Linear Graphical Model for inferring genetic networks from high-throughput sequencing data. BIBM 2012: 1-6 - [c2]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical Models via Generalized Linear Models. NIPS 2012: 1367-1375 - [c1]Genevera I. Allen:
Sparse Higher-Order Principal Components Analysis. AISTATS 2012: 27-36 - 2011
- [j1]Genevera I. Allen, Mirjana Maletic-Savatic
Sparse non-negative generalized PCA with applications to metabolomics. Bioinform. 27(21): 3029-3035 (2011)
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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