Patrick J. Wolfe

Generating author description...

All published works

Action	Title	Year	Authors
+	Scalable $k$-d trees for distributed data	2022	Aritra Chakravorty William S. Cleveland Patrick J. Wolfe
+ PDF Chat	Local linear graphon estimation using covariates	2021	Swati Chandna Sofia C. Olhede Patrick J. Wolfe
+	Distributed estimation through parallel approximants	2021	Aritra Chakravorty William S. Cleveland Patrick J. Wolfe
+	Robustness on Networks	2020	Marios Papamichalis Simón Lunagómez Patrick J. Wolfe
+ PDF Chat	Modeling Network Populations via Graph Distances	2020	Simón Lunagómez Sofia C. Olhede Patrick J. Wolfe
+	Testing for Equivalence of Network Distribution Using Subgraph Counts	2020	P.-A. G. Maugis Sofia C. Olhede Carey E. Priebe Patrick J. Wolfe
+	Tractably Modelling Dependence in Networks Beyond Exchangeability	2020	Weichi Wu Sofia C. Olhede Patrick J. Wolfe
+	Robustness on Networks	2020	Marios Papamichalis Simón Lunagómez Patrick J. Wolfe
+	Modeling Network Populations via Graph Distances	2019	Simón Lunagómez Sofia C. Olhede Patrick J. Wolfe
+	Matrix Estimation Meets Statistical Network Analysis: Extracting low-dimensional structures in high dimension	2019	Florentina Bunea Angelika Rohde Patrick J. Wolfe Harrison H. Zhou
+ PDF Chat	Network Modularity in the Presence of Covariates	2019	Beate Ehrhardt Patrick J. Wolfe
+	Modeling Network Populations via Graph Distances	2019	Simón Lunagómez Sofia C. Olhede Patrick J. Wolfe
+	Evaluating and Optimizing Network Sampling Designs: Decision Theory and Information Theory Perspectives	2018	Simón Lunagómez Marios Papamichalis Patrick J. Wolfe Edoardo M. Airoldi
+	Evaluating and Optimizing Network Sampling Designs: Decision Theory and Information Theory Perspectives	2018	Simón Lunagómez Marios Papamichalis Patrick J. Wolfe Edoardo M. Airoldi
+	Fast counting of medium-sized rooted subgraphs	2017	Pierre-André Maugis Sofia C. Olhede Patrick J. Wolfe
+	Topology reveals universal features for network comparison	2017	Pierre-André Maugis Sofia C. Olhede Patrick J. Wolfe
+	Network modularity in the presence of covariates	2016	Beate Franke Patrick J. Wolfe
+ PDF Chat	A Spectral Framework for Anomalous Subgraph Detection	2015	Benjamin A. Miller Michelle S. Beard Patrick J. Wolfe Nadya Bliss
+ PDF Chat	Network histograms and universality of blockmodel approximation	2014	Sofia C. Olhede Patrick J. Wolfe
+ PDF Chat	Inference for Graphs and Networks: Adapting Classical Tools to Modern Data	2014	Benjamin P. Olding Patrick J. Wolfe
+	Co-clustering separately exchangeable network data	2014	David Choi Patrick J. Wolfe
+ PDF Chat	Point Process Modelling for Directed Interaction Networks	2013	Patrick O. Perry Patrick J. Wolfe
+	De-noising procedures for frame operators	2013	Daniela De Canditiis Marco Picone Marianna Pensky Patrick J. Wolfe
+	Nonparametric graphon estimation	2013	Patrick J. Wolfe Sofia C. Olhede
+	De-noising procedures for frame operators	2013	Daniela De Canditiis Marianna Pensky Patrick J. Wolfe
+	What is a degree distribution	2012	Sofia C. Olhede Patrick J. Wolfe
+	Order statistics of observed network degrees	2012	Sofia C. Olhede Patrick J. Wolfe
+ PDF Chat	Kalman-based autoregressive moving average modeling and inference for formant and antiformant tracking	2012	Daryush D. Mehta Daniel Rudoy Patrick J. Wolfe
+ PDF Chat	Stochastic blockmodels with a growing number of classes	2012	D-S Choi Patrick J. Wolfe Edoardo M. Airoldi
+ PDF Chat	A CURE for Noisy Magnetic Resonance Images: Chi-Square Unbiased Risk Estimation	2012	Florian Luisier Thierry Blu Patrick J. Wolfe
+	A scalable signal processing architecture for massive graph analysis	2012	Benjamin A. Miller Nicholas Arcolano Michelle S. Beard Jeremy Kepner Matthew C. Schmidt Nadya Bliss Patrick J. Wolfe
+	Moments of parameter estimates for Chung-Lu random graph models	2012	Nicholas Arcolano Karl Ni Benjamin A. Miller Nadya Bliss Patrick J. Wolfe
+	Degree-based network models	2012	Sofia C. Olhede Patrick J. Wolfe
+	Null models for network data	2012	Patrick O. Perry Patrick J. Wolfe
+	Order statistics of observed network degrees	2012	Sofia C. Olhede Patrick J. Wolfe
+ PDF Chat	Point Process Modeling for Directed Interaction Networks	2011	Patrick O. Perry Patrick J. Wolfe
+ PDF Chat	Skellam Shrinkage: Wavelet-Based Intensity Estimation for Inhomogeneous Poisson Data	2011	Keigo Hirakawa Patrick J. Wolfe
+ PDF Chat	Confidence sets for network structure	2011	Edoardo M. Airoldi David Choi Patrick J. Wolfe
+	Chi-square unbiased risk estimate for denoising magnitude MR images	2011	Florian Luisier Patrick J. Wolfe
+ PDF Chat	“Rewiring” Filterbanks for Local Fourier Analysis: Theory and Practice	2011	Keigo Hirakawa Patrick J. Wolfe
+	Estimating principal components of large covariance matrices using the Nystr&#x00F6;m method	2011	Nicholas Arcolano Patrick J. Wolfe
+	Estimating principal components of covariance matrices using the Nyström method	2011	Nicholas Arcolano Patrick J. Wolfe
+	Subgraph Detection Using Eigenvector L1 Norms	2010	Benjamin A. Miller Nadya Bliss Patrick J. Wolfe
+ PDF Chat	Likelihood-Based Semi-Supervised Model Selection With Applications to Speech Processing	2010	Christopher M. White Sanjeev Khudanpur Patrick J. Wolfe
+ PDF Chat	Time-Varying Autoregressions in Speech: Detection Theory and Applications	2010	Daniel Rudoy Thomas F. Quatieri Patrick J. Wolfe
+ PDF Chat	Bayesian Change-Point Analysis for Atomic Force Microscopy and Soft Material Indentation	2010	Daniel Rudoy Shelten G. Yuen Robert D. Howe Patrick J. Wolfe
+ PDF Chat	Minimax Rank Estimation for Subspace Tracking	2010	Patrick O. Perry Patrick J. Wolfe
+ PDF Chat	Superposition Frames for Adaptive Time-Frequency Analysis and Fast Reconstruction	2010	Daniel Rudoy Prabahan Basu Patrick J. Wolfe
+	Nystr&#x00F6;m approximation of Wishart matrices	2010	Nicholas Arcolano Patrick J. Wolfe
+	On landmark selection and sampling in high-dimensional data analysis	2009	Mohamed-Ali Belabbas Patrick J. Wolfe
+ PDF Chat	Spectral methods in machine learning and new strategies for very large datasets	2009	Mohamed-Ali Belabbas Patrick J. Wolfe
+ PDF Chat	On sparse representations of linear operators and the approximation of matrix products	2008	Mohamed-Ali Belabbas Patrick J. Wolfe
+	Fast Low-Rank Approximation for Covariance Matrices	2007	Mohamed-Ali Belabbas Patrick J. Wolfe
+	Robust Control Variates for Monte Carlo Integration	2007	Jing Gu Patrick J. Wolfe
+	On the Approximation of Matrix Products and Positive Definite Matrices	2007	Mohamed-Ali Belabbas Patrick J. Wolfe
+	Multi-Scale MCMC Methods for Sampling from Products of Gaussian Mixtures	2007	Daniel Rudoy Patrick J. Wolfe
+	Monte Carlo Methods for Multi-Modal Distributions	2006	Daniel Rudoy Patrick J. Wolfe
+	Une méthode à noyaux pour l'approximation parcimonieuse des représentations temps-fréquence bilinéaires	2005	Manuel Davy Patrick J. Wolfe
+	Multi-Gabor dictionaries for audio time-frequency analysis	2002	Patrick J. Wolfe Simon Godsill Monika Dörfler

Common Coauthors

Coauthor	Papers Together
Sofia C. Olhede	14
Simón Lunagómez	7
Daniel Rudoy	6
Nicholas Arcolano	5
Mohamed-Ali Belabbas	5
Patrick O. Perry	4
Benjamin A. Miller	4
Marios Papamichalis	4
Edoardo M. Airoldi	4
Nadya Bliss	4
Daniela De Canditiis	2
Marianna Pensky	2
Pierre-André Maugis	2
Keigo Hirakawa	2
William S. Cleveland	2
Florian Luisier	2
David Choi	2
Michelle S. Beard	2
Aritra Chakravorty	2
Beate Franke	1
Jing Gu	1
Swati Chandna	1
Christopher M. White	1
D-S Choi	1
Angelika Rohde	1
Karl Ni	1
Thierry Blu	1
Harrison H. Zhou	1
Daryush D. Mehta	1
Thomas F. Quatieri	1
Shelten G. Yuen	1
Sanjeev Khudanpur	1
Simon Godsill	1
Florentina Bunea	1
Manuel Davy	1
P.-A. G. Maugis	1
Beate Ehrhardt	1
Carey E. Priebe	1
Prabahan Basu	1
Matthew C. Schmidt	1
Weichi Wu	1
Benjamin P. Olding	1
Monika Dörfler	1
Marco Picone	1
Robert D. Howe	1
Jeremy Kepner	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The method of moments and degree distributions for network models	2011	Peter J. Bickel Aiyou Chen Elizaveta Levina	7
+	Graph limits and exchangeable random graphs	2007	Persi Diaconis Svante Janson	7
+ PDF Chat	Spectra of random graphs with given expected degrees	2003	Fan Chung Linyuan Lü Van Vu	6
+	Large Networks and Graph Limits	2012	László Lovász	6
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	6
+	Spectral clustering and the high-dimensional stochastic blockmodel	2011	Karl Rohe Sourav Chatterjee Bin Yu	5
+ PDF Chat	Network histograms and universality of blockmodel approximation	2014	Sofia C. Olhede Patrick J. Wolfe	5
+	Consistency of community detection in networks under degree-corrected stochastic block models	2012	Yunpeng Zhao Elizaveta Levina Ji Zhu	5
+	Modularity and community structure in networks	2006	M. E. J. Newman	5
+	On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning	2005	Petros Drineas Michael W. Mahoney	5
+ PDF Chat	Finding community structure in networks using the eigenvectors of matrices	2006	M. E. J. Newman	5
+	Community structure in social and biological networks	2002	Michelle Girvan M. E. J. Newman	5
+ PDF Chat	Stochastic blockmodels and community structure in networks	2011	Brian Karrer M. E. J. Newman	5
+	Spectral Graph Theory	1996	Fan Chung	4
+ PDF Chat	Stochastic blockmodels with a growing number of classes	2012	D-S Choi Patrick J. Wolfe Edoardo M. Airoldi	4
+	Matrix approximation and projective clustering via volume sampling	2006	Amit Deshpande Luis Rademacher Santosh Vempala Grant Wang	4
+	Metrics for sparse graphs	2009	B Bollobás Oliver Riordan	4
+	The Spectra of Random Graphs with Given Expected Degrees	2004	Fan Chung Linyuan Lü Van Vu	4
+	Fast Monte-Carlo algorithms for finding low-rank approximations	2002	Alan Frieze Ramachandran Kannan Santosh Vempala	4
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	4
+ PDF Chat	Random graphs with a given degree sequence	2011	Sourav Chatterjee Persi Diaconis Allan Sly	3
+ PDF Chat	Testing and Modeling Dependencies Between a Network and Nodal Attributes	2015	Bailey K. Fosdick Peter D. Hoff	3
+ PDF Chat	Comparing Community Structure to Characteristics in Online Collegiate Social Networks	2011	Veronica Red Eric D. Kelsic Peter J. Mucha Mason A. Porter	3
+ PDF Chat	Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown	2013	Donniell E. Fishkind Daniel L. Sussman Minh Tang Joshua T Vogelstein Carey E. Priebe	3
+	A Spectral Clustering Approach To Finding Communities in Graph.	2005	S. M. White Padhraic Smyth	3
+	Mixed membership stochastic blockmodels	2007	Edoardo M. Airoldi David M. Blei Stephen E. Fienberg Eric P. Xing	3
+ PDF Chat	Point Process Modelling for Directed Interaction Networks	2013	Patrick O. Perry Patrick J. Wolfe	3
+ PDF Chat	An identity for the Schur complement of a matrix	1969	Douglas E. Crabtree Emilie V. Haynsworth	3
+	Fast Monte Carlo Algorithms for Matrices I: Approximating Matrix Multiplication	2006	Petros Drineas Ravi Kannan Michael W. Mahoney	3
+ PDF Chat	Spectral methods in machine learning and new strategies for very large datasets	2009	Mohamed-Ali Belabbas Patrick J. Wolfe	3
+	Spectral redemption in clustering sparse networks	2013	Florent Krząkała Cristopher Moore Elchanan Mossel Joe Neeman Allan Sly Lenka Zdeborová Pan Zhang	3
+	Representations for partially exchangeable arrays of random variables	1981	David Aldous	3
+	Fast Low-Rank Approximation for Covariance Matrices	2007	Mohamed-Ali Belabbas Patrick J. Wolfe	3
+	Oracle inequalities for network models and sparse graphon estimation	2017	Olga Klopp Alexandre B. Tsybakov Nicolas Verzélen	3
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	3
+ PDF Chat	An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants	2006	Jesper Møller A. N. Pettitt R. Reeves Kasper K. Berthelsen	3
+	Nonparametric graphon estimation	2013	Patrick J. Wolfe Sofia C. Olhede	3
+	Random graph dynamics	2007	Richard Durrett	3
+	Matrix estimation by Universal Singular Value Thresholding	2014	Sourav Chatterjee	3
+	Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps	2005	Ronald R. Coifman Stéphane Lafon A. B. Lee Mauro Maggioni Boaz Nadler Frederick Warner Steven W. Zucker	3
+ PDF Chat	The Structure and Function of Complex Networks	2003	Michael Newman	3
+	Matrix multiplication via arithmetic progressions	1990	Don Coppersmith S. Winograd	3
+	A Brief History of Statistical Models for Network Analysis and Open Challenges	2012	Stephen E. Fienberg	3
+	Degree-based network models	2012	Sofia C. Olhede Patrick J. Wolfe	3
+ PDF Chat	A Survey of Statistical Network Models	2009	Anna Goldenberg	3
+	The average distances in random graphs with given expected degrees	2002	Fan Chung Linyuan Lü	3
+	Hypothesis testing for network data in functional neuroimaging	2017	Cedric E. Ginestet Jun Li Prakash Balachandran Steven Rosenberg Eric D. Kolaczyk	3
+	Maximum lilkelihood estimation in the $\beta$-model	2013	Alessandro Rinaldo Sonja Petrović Stephen E. Fienberg	3
+	Universally Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs	2012	Daniel L. Sussman Minh Tang Carey E. Priebe	2
+	Maximum likelihood estimation in log-linear models	2012	Stephen E. Fienberg Alessandro Rinaldo	2