Sumanta Basu
Sumanta Basu
Assistant Professor, Cornell University
Verified email at - Homepage
Cited by
Cited by
Regularized estimation in sparse high-dimensional time series models
S Basu, G Michailidis
The Annals of Statistics 43 (4), 1535-1567, 2015
iterative Random Forests to discover predictive and stable high-order interactions
S Basu, K Kumbier, JB Brown, B Yu
Proceedings of the National Academy of Sciences 115 (8), 1943-1948, 2018
Network Granger Causality with Inherent Grouping Structure
S Basu, A Shojaie, G Michailidis
Journal of Machine Learning Research 16, 417−453, 2015
Metabolomic profiling identifies biochemical pathways associated with castration-resistant prostate cancer
AK Kaushik, SK Vareed, S Basu, V Putluri, N Putluri, K Panzitt, ...
Journal of proteome research 13 (2), 1088-1100, 2013
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models
J Lin, S Basu, M Banerjee, G Michailidis
Journal of Machine Learning Research 17 (146), 1-51, 2016
Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data
S Basu, W Duren, CR Evans, CF Burant, G Michailidis, A Karnovsky
Bioinformatics 33 (10), 1545-1553, 2017
Adaptive thresholding for reconstructing regulatory networks from time-course gene expression data
A Shojaie, S Basu, G Michailidis
Statistics in Biosciences 4 (1), 66-83, 2012
A system-wide approach to measure connectivity in the financial sector
S Basu, S Das, G Michailidis, AK Purnanandam
Estimation in high-dimensional vector autoregressive models
S Basu, G Michailidis
arXiv preprint arXiv:1311.4175, 2013
Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions
S Basu, X Li, G Michailidis
IEEE Transactions on Signal Processing 67 (5), 1207-1222, 2019
Refining interaction search through signed iterative Random Forests
K Kumbier, S Basu, JB Brown, S Celniker, B Yu
arXiv preprint arXiv:1810.07287, 2018
Modeling and Estimation of High-dimensional Vector Autoregressions.
S Basu
Exploiting regulatory heterogeneity to systematically identify enhancers with high accuracy
H Arbel, S Basu, WW Fisher, AS Hammonds, KH Wan, S Park, ...
Proceedings of the National Academy of Sciences 116 (3), 900-908, 2019
Interpretable Vector AutoRegressions with Exogenous Time Series
I Wilms, S Basu, J Bien, DS Matteson
arXiv preprint arXiv:1711.03623, 2017
Large Spectral Density Matrix Estimation by Thresholding
Y Sun, Y Li, A Kuceyeski, S Basu
arXiv preprint arXiv:1812.00532, 2018
High Dimensional Estimation, Basis Assets, and Adaptive Multi-Factor Models
L Zhu, S Basu, RA Jarrow, MT Wells
arXiv preprint arXiv:1804.08472, 2018
A Debiased MDI Feature Importance Measure for Random Forests
X Li, Y Wang, S Basu, K Kumbier, B Yu
Advances in Neural Information Processing Systems, 8047-8057, 2019
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages
I Wilms, S Basu, J Bien, DS Matteson
arXiv preprint arXiv:1707.09208, 2017
Metabolic coessentiality mapping identifies C12orf49 as a regulator of SREBP processing and cholesterol metabolism
EC Bayraktar, K La, K Karpman, G Unlu, C Ozerdem, DJ Ritter, ...
Nature Metabolism, 1-12, 2020
Dense time-course gene expression profiling of the Drosophila melanogaster innate immune response
F Schlamp, SYN Delbare, AM Early, MT Wells, S Basu, AG Clark
bioRxiv, 2020
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