Evaluating the Performance of a Simple Inductive Procedure in the Presence of Overfitting Error. - Andrew B. Nobel (COLT, 1991)

A recurrence theorem for dependent processes with applications to data compression. - Andrew B. Nobel; Aaron D. Wyner (IEEE Trans. Inf. Theory, 1992)

Vanishing distortion and shrinking cells. - Andrew B. Nobel (IEEE Trans. Inf. Theory, 1996)

Termination and continuity of greedy growing for tree-structured vector quantizers. - Andrew B. Nobel; Richard A. Olshen (IEEE Trans. Inf. Theory, 1996)

Recursive partitioning to reduce distortion. - Andrew B. Nobel (IEEE Trans. Inf. Theory, 1997)

Density Estimation from an Individual Numerical Sequence. - Andrew B. Nobel; Gusztáv Morvai; Sanjeev R. Kulkarni (IEEE Trans. Inf. Theory, 1998)

Estimating a function from ergodic samples with additive noise. - Andrew B. Nobel; Terrence M. Adams (IEEE Trans. Inf. Theory, 2001)

Analysis of a complexity-based pruning scheme for classification trees. - Andrew B. Nobel (IEEE Trans. Inf. Theory, 2002)

On optimal sequential prediction for general processes. - Andrew B. Nobel (IEEE Trans. Inf. Theory, 2003)

Memoryless individual sequences. - Andrew B. Nobel (ISIT, 2004)

Some stochastic properties of memoryless individual sequences. - Andrew B. Nobel (IEEE Trans. Inf. Theory, 2004)

Mining Approximate Frequent Itemsets from Noisy Data. - Jinze Liu; Susan Paulsen; Wei Wang 010; Andrew B. Nobel; Jan F. Prins (ICDM, 2005)

Understanding Patterns of TCP Connection Usage with Statistical Clustering. - Félix Hernández-Campos; Andrew B. Nobel; F. Donelson Smith; Kevin Jeffay (MASCOTS, 2005)

Significance analysis of functional categories in gene expression studies: a structured permutation approach. - William T. Barry; Andrew B. Nobel; Fred A. Wright (Bioinform., 2005)

Significance and Recovery of Block Structures in Binary Matrices with Noise. - Xing Sun; Andrew B. Nobel (COLT, 2006)

Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis. - Jinze Liu; Susan Paulsen; Xing Sun; Wei Wang 010; Andrew B. Nobel; Jan F. Prins (SDM, 2006)

Regression estimation from an individual stable sequence. - Gusztáv Morvai; Sanjeev R. Kulkarni; Andrew B. Nobel (CoRR, 2007)

Merging two gene-expression studies via cross-platform normalization. - Andrey A. Shabalin; Håkon Tjelmeland; Cheng Fan 006; Charles M. Perou; Andrew B. Nobel (Bioinform., 2008)

Mining non-redundant high order correlations in binary data. - Xiang Zhang 001; Feng Pan 001; Wei Wang 010; Andrew B. Nobel (Proc. VLDB Endow., 2008)

Sequential Procedures for Aggregating Arbitrary Estimators of a Conditional Mean. - Florentina Bunea; Andrew B. Nobel (IEEE Trans. Inf. Theory, 2008)

FastMap: Fast eQTL mapping in homozygous populations. - Daniel M. Gatti; Andrey A. Shabalin; Tieu-Chong Lam; Fred A. Wright; Ivan Rusyn; Andrew B. Nobel (Bioinform., 2009)

DiNAMIC: a method to identify recurrent DNA copy number aberrations in tumors. - Vonn Walter; Andrew B. Nobel; Fred A. Wright (Bioinform., 2011)

A Testing Based Extraction Algorithm for Identifying Significant Communities in Networks. - James D. Wilson; Simi Wang; Peter J. Mucha; Shankar Bhamidi; Andrew B. Nobel (CoRR, 2013)

Reconstruction of a low-rank matrix in the presence of Gaussian noise. - Andrey A. Shabalin; Andrew B. Nobel (J. Multivar. Anal., 2013)

The Continuous Configuration Model: A Null for Community Detection on Weighted Networks. - John Palowitch; Shankar Bhamidi; Andrew B. Nobel (CoRR, 2016)

Supervised singular value decomposition and its asymptotic properties. - Gen Li 004; Dan Yang; Andrew B. Nobel; Haipeng Shen (J. Multivar. Anal., 2016)

Memoryless Sequences for Differentiable Losses. - Rafael M. Frongillo; Andrew B. Nobel (COLT, 2017)

Significance-based community detection in weighted networks. - John Palowitch; Shankar Bhamidi; Andrew B. Nobel (J. Mach. Learn. Res., 2017)

Community Extraction in Multilayer Networks with Heterogeneous Community Structure. - James D. Wilson; John Palowitch; Shankar Bhamidi; Andrew B. Nobel (J. Mach. Learn. Res., 2017)

HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues. - Gen Li 004; Dereje Jima; Fred A. Wright; Andrew B. Nobel (BMC Bioinform., 2018)

Finding Stable Groups of Cross-Correlated Features in Multi-View data. - Miheer Dewaskar; John Palowitch; Mark He; Michael I. Love; Andrew B. Nobel (CoRR, 2020)

Memoryless Sequences for General Losses. - Rafael M. Frongillo; Andrew B. Nobel (J. Mach. Learn. Res., 2020)

Graph Optimal Transport with Transition Couplings of Random Walks. - Kevin O'Connor; Bongsoo Yi; Kevin McGoff; Andrew B. Nobel (CoRR, 2021)

Optimal Transport for Stationary Markov Chains via Policy Iteration. - Kevin O'Connor; Kevin McGoff; Andrew B. Nobel (J. Mach. Learn. Res., 2022)

Community modulated recursive trees and population dependent branching processes. - Shankar Bhamidi; Ruituo Fan; Nicolas Fraiman; Andrew B. Nobel (Random Struct. Algorithms, 2022)

Finding Groups of Cross-Correlated Features in Bi-View Data. - Miheer Dewaskar; John Palowitch; Mark He; Michael I. Love; Andrew B. Nobel (J. Mach. Learn. Res., 2023)

Control of false discoveries in grouped hypothesis testing for eQTL data. - Pratyaydipta Rudra; Yi-Hui Zhou; Andrew B. Nobel; Fred A. Wright (BMC Bioinform., 2024)