Andrew B. Nobel

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 14

Top Topics

Asymptotic Properties

Community Detection

Top Venues

J. Mach. Learn. Res.

Random Struct. Algorithms

Publications

Pratyaydipta Rudra, Yi-Hui Zhou, Andrew B. Nobel, Fred A. Wright
Control of false discoveries in grouped hypothesis testing for eQTL data. BMC Bioinform. 25 (1) (2024)
Shankar Bhamidi, Ruituo Fan, Nicolas Fraiman, Andrew B. Nobel
Community modulated recursive trees and population dependent branching processes. Random Struct. Algorithms 60 (2) (2022)
Kevin O'Connor, Kevin McGoff, Andrew B. Nobel
Optimal Transport for Stationary Markov Chains via Policy Iteration. J. Mach. Learn. Res. 23 (2022)
Kevin O'Connor, Bongsoo Yi, Kevin McGoff, Andrew B. Nobel
Graph Optimal Transport with Transition Couplings of Random Walks. CoRR (2021)
Miheer Dewaskar, John Palowitch, Mark He, Michael I. Love, Andrew B. Nobel
Finding Stable Groups of Cross-Correlated Features in Multi-View data. CoRR (2020)
Rafael M. Frongillo, Andrew B. Nobel
Memoryless Sequences for General Losses. J. Mach. Learn. Res. 21 (2020)
Kevin O'Connor, Kevin McGoff, Andrew B. Nobel
Optimal Transport for Stationary Markov Chains via Policy Iteration. CoRR (2020)
Gen Li, Dereje Jima, Fred A. Wright, Andrew B. Nobel
HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues. BMC Bioinform. 19 (1) (2018)
Rafael M. Frongillo, Andrew B. Nobel
Memoryless Sequences for Differentiable Losses. COLT (2017)
James D. Wilson, John Palowitch, Shankar Bhamidi, Andrew B. Nobel
Community Extraction in Multilayer Networks with Heterogeneous Community Structure. J. Mach. Learn. Res. 18 (2017)
John Palowitch, Shankar Bhamidi, Andrew B. Nobel
Significance-based community detection in weighted networks. J. Mach. Learn. Res. 18 (2017)
James D. Wilson, John Palowitch, Shankar Bhamidi, Andrew B. Nobel
Community Extraction in Multilayer Networks with Heterogeneous Community Structure. CoRR (2016)
Gen Li, Dan Yang, Andrew B. Nobel, Haipeng Shen
Supervised singular value decomposition and its asymptotic properties. J. Multivar. Anal. 146 (2016)
John Palowitch, Shankar Bhamidi, Andrew B. Nobel
The Continuous Configuration Model: A Null for Community Detection on Weighted Networks. CoRR (2016)
James D. Wilson, Simi Wang, Peter J. Mucha, Shankar Bhamidi, Andrew B. Nobel
A Testing Based Extraction Algorithm for Identifying Significant Communities in Networks. CoRR (2013)
Andrey A. Shabalin, Andrew B. Nobel
Reconstruction of a low-rank matrix in the presence of Gaussian noise. J. Multivar. Anal. 118 (2013)
Vonn Walter, Andrew B. Nobel, Fred A. Wright
DiNAMIC: a method to identify recurrent DNA copy number aberrations in tumors. Bioinform. 27 (5) (2011)
Daniel M. Gatti, Andrey A. Shabalin, Tieu-Chong Lam, Fred A. Wright, Ivan Rusyn, Andrew B. Nobel
FastMap: Fast eQTL mapping in homozygous populations. Bioinform. 25 (4) (2009)
Florentina Bunea, Andrew B. Nobel
Sequential Procedures for Aggregating Arbitrary Estimators of a Conditional Mean. IEEE Trans. Inf. Theory 54 (4) (2008)
Andrey A. Shabalin, Håkon Tjelmeland, Cheng Fan, Charles M. Perou, Andrew B. Nobel
Merging two gene-expression studies via cross-platform normalization. Bioinform. 24 (9) (2008)
Xiang Zhang, Feng Pan, Wei Wang, Andrew B. Nobel
Mining non-redundant high order correlations in binary data. Proc. VLDB Endow. 1 (1) (2008)
Andrew B. Nobel, Gusztáv Morvai, Sanjeev R. Kulkarni
Density estimation from an individual numerical sequence. CoRR (2007)
Gusztáv Morvai, Sanjeev R. Kulkarni, Andrew B. Nobel
Regression estimation from an individual stable sequence. CoRR (2007)
Xing Sun, Andrew B. Nobel
Significance and Recovery of Block Structures in Binary Matrices with Noise. COLT (2006)
Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew B. Nobel, Jan F. Prins
Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis. SDM (2006)
Jinze Liu, Susan Paulsen, Wei Wang, Andrew B. Nobel, Jan F. Prins
Mining Approximate Frequent Itemsets from Noisy Data. ICDM (2005)
William T. Barry, Andrew B. Nobel, Fred A. Wright
Significance analysis of functional categories in gene expression studies: a structured permutation approach. Bioinform. 21 (9) (2005)
Félix Hernández-Campos, Andrew B. Nobel, F. Donelson Smith, Kevin Jeffay
Understanding Patterns of TCP Connection Usage with Statistical Clustering. MASCOTS (2005)
Andrew B. Nobel
Some stochastic properties of memoryless individual sequences. IEEE Trans. Inf. Theory 50 (7) (2004)
Andrew B. Nobel
Memoryless individual sequences. ISIT (2004)
Andrew B. Nobel
On optimal sequential prediction for general processes. IEEE Trans. Inf. Theory 49 (1) (2003)
Andrew B. Nobel
Analysis of a complexity-based pruning scheme for classification trees. IEEE Trans. Inf. Theory 48 (8) (2002)
Andrew B. Nobel, Terrence M. Adams
Estimating a function from ergodic samples with additive noise. IEEE Trans. Inf. Theory 47 (7) (2001)
Andrew B. Nobel, Gusztáv Morvai, Sanjeev R. Kulkarni
Density Estimation from an Individual Numerical Sequence. IEEE Trans. Inf. Theory 44 (2) (1998)
Andrew B. Nobel
Recursive partitioning to reduce distortion. IEEE Trans. Inf. Theory 43 (4) (1997)
Andrew B. Nobel
Vanishing distortion and shrinking cells. IEEE Trans. Inf. Theory 42 (4) (1996)
Andrew B. Nobel, Richard A. Olshen
Termination and continuity of greedy growing for tree-structured vector quantizers. IEEE Trans. Inf. Theory 42 (1) (1996)
Andrew B. Nobel, Aaron D. Wyner
A recurrence theorem for dependent processes with applications to data compression. IEEE Trans. Inf. Theory 38 (5) (1992)
Andrew B. Nobel
Evaluating the Performance of a Simple Inductive Procedure in the Presence of Overfitting Error. COLT (1991)