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Robert D. Nowak2018Concentration Inequalities for the Empirical Distribution with J. Mardia, J. Jiao, E. Tánczos, and T. Weissman Scalable Sparse Subspace Clustering via OWL with U. Oswal Tensor Methods for Nonlinear Matrix Completion with G. Ongie, L. Balzano, D. Pimentel, and R. Willettt Teacher Improves Learning by Selecting a Training Set with Y. Ma, P. Rigollet, X Zhang, and X. Zhu TimeWeaver: Opportunistic One Way Delay Measurement via NTP with R. Durairajan, S. Mani, P. Barford, and J. Sommers
Adaptive Sampling for Clustered Ranking with S. Katariya, L. Jain, N. Sengupta, and J. Evans
2017 A KL-LUCB Algorithm for Large-Scale Crowdsourcing with E. Tanczos and R. Mankoff
Learning
Low-Dimensional Metrics
Low Algebraic
Dimension Matrix Completion
Scalable GLM
Bandits
Mixture
Regression as Subspace Clustering
Algebraic
Variety Models for Matrix Completion
Active PSD
Matrix Completion
2016
NEXT: A System for Real-World Active
Learningwith K. Jamieson, L. Jain, C. Fernandez, and N. Glattard
2014
2013
2011
Active Ranking
using Pairwise Comparisons Active Ranking
in Practice On the
Limits of Sequential Testing in High Dimensions Sequential
Analysis in High-Dimensional Multiple Testing B. Eriksson, P. Barford, J. Sommers and R. Nowak, INFOCOM 2011 Low-Dimensional
Embedding using Adaptive Ordinal Data Empirical
Comparison of Full-Wavform Lidar Algorithms Universal
Measurement Bounds for Structured Sparse Signal
Recovery Convex
approaches to model wavelet sparsity patterns On the Success
of Network Inference using a Markov Routing Model Transduction
with Matrix Completion: Three Birds with One Stone,
A Learning-Based
Approach to IP Geolocation, B. Eriksson, P. Barford, J. Sommers and R. Nowak, PAM 2010. Toward the
Practical Use of Network Tomography, B. Eriksson, G. Dasarathy, P. Barford and R. Nowak, Infocom 2010. 2009 Compressive
Distilled Sensing, J. Haupt, R. Baraniuk,
R. Castro and R. Nowak, Asilomar 2009. Active Sensing,
R. Castro and R. Nowak. The Geometry of
Generalized Binary Search A Restricted
Isometry Property for Structurally-Subsampled
Unitary Matrices, W. Bajwa, A. Sayeed and
R. Nowak, Allerton 2009. Distilled
Sensing: Selective Sensing for Sparse Signal
Recovery, J. Haupt, R. Castro and R.
Nowak, AISTATS 2009. Compressed
Channel Sensing, W. Bajwa, J. Haupt, A.
Sayeed, R. Nowak, Proc. IEEE, submitted 2009. Estimating Hop
Distance Between Arbitrary Host Pairs, B.
Eriksson, P. Barford, R. Nowak, IEEE Infocom 2009. Multi-Manifold
Semi-Supervised Learning, A. Goldberg, X.
Zhu, A. Singh, Z. Xu and R. Nowak, AISTATS 2009.2008 Generalized
Binary Search, Allerton 2008. Learning Sparse
Doubly-Selective Channels, W. Bajwa, A.
Sayeed and R. Nowak, Allerton 2008 (extended tech report
here). An
Improved Approach to Lidar Airport Obstruction
Surveying Using Full-Waveform Data, C.
Parrish and R. Nowak, J. Surveying Engr. 2008.Unlabeled data: Now it helps, now it doesn't, A. Singh, X. Zhu and R. Nowak, NIPS 2008 (extended tech report here). Human Active
Learning, R. Castro, C. Kalish, R. Nowak,
R. Qian, T. Rogers and X. Zhu, NIPS 2008. Toeplitz
Compressed Sensing Matrices with Applications to
Sparse Channel Estimation, J. Haupt, W.
Bajwa, G. Raz and R. Nowak, submitted. Network
Discovery from Passive Measurement, B.
Eriksson, P. Barford and R. Nowak, ACM SIGCOMM '08. Learning Bigrams
from Unigrams, X. Zhu, A. Goldberg, M.
Rabbat and R. Nowak, ACL '08. Controlling the
Error in fMRI: Hypothesis Testing or Set Estimation?,
Z. Harmany, R. Willett, A. Singh and R. Nowak, ISBI '08. Finding Needles
in Noisy Haystacks, J. Haupt, R. Castro,
and R. Nowak, ICASSP '08. Sparse
Reconstruction by Separable Approximation,
S. Wright, R. Nowak and M. Figueiredo, submitted to IEEE
TSP. Learning to
Satisfy, F. Thouin, M. Coates, B.
Erikkson, R. Nowak, and C.Scott, ICASSP '08. Compressed
Channel Sensing, W. Bajwa, J. Haupt, G.
Raz and R. Nowak, CISS '08. Space-Time
Sparse Reconstruction for
Magneto-/Electroencephalography, A.
Bolstad, B. Van Veen and R. Nowak, submitted to
NeuroImage.2007 Compressed
Sensing for Networked Data, J. Haupt, W.
Bajwa, M. Rabbat, and R. Nowak, to appear in the IEEE
Signal Processing Magazine. Learning Network
Structure from Passive Measurements, B.
Eriksson, P. Barford, R. Nowak and M. Crovella,
IMC '07.Characterizing decoding robustness under parametric channel uncertainty, J. Wierer, W. Bajwa, N. Boston and R. Nowak, Allerton '07. Adaptive
Hausdorff Estimation of Density Level Sets,
A. Singh, C. Scott and R. Nowak, submitted to the Annals
of Statistics.. Toeplitz-Structured
Compressed
Sensing Matrices, W. Bajwa, J. Haupt, G.
Raz, S. Wright and R. Nowak, IEEE SSP 2007 Workshop. Joint
Source-Channel Communication for Distributed
Estimation in Sensor Networks, W. Bajwa,
J. Haupt, A. Sayeed and R. Nowak, to appear in IEEE Trans. Info. Th. Minimax Bounds
for Active Learning, R. Castro and
R. Nowak, submitted to IEEE Trans. Info. Th., shorter version appeared at COLT 2007 (COLT paper, Errata) Blind
Calibration of Sensor Networks, L.
Balzano and R. Nowak, to appear at IPSN 2007.(extended version, UCLA Technical Report ) Gradient
Projection for Sparse Reconstruction: Applications
to Compressed Sensing and Other Inverse Problems,
M. Figueiredo, R. Nowak and S. Wright. CODE: MATLAB code is available here Genomic Network
Tomography, M. Rabbat, M. Figueiredo and
R. Nowak, to appear at ICASSP 2007. Majorization-Minimization
Algorithms
for Wavelet-Based Image Restoration, M.
Figueiredo, J. Bioucas-Dias, and R. Nowak.2006 Upper and Lower
Bounds for Active Learning, R. Castro,
and R. Nowak, in Proceedings of the 44th Annual Allerton Conference on Communication, Control and Computing, 2006. Network
Inference from Co-Occurrences, M. Rabbat,
M. Figueiredo, and R. Nowak, submitted to the IEEE
Transactions on Information Theory(extended version, UW-Madison Technical Report ECE-06-2) de Novo
signaling pathway reconstruction from multiple data
sources, D. Zhu, M. Rabbat, A. O. Hero, R.
Nowak, M. Figuieredo, in New research on
signal transduction, Ed. F. Columbus , Nova
Publishing, 2006. Multiple Source
Internet Tomography, M. Rabbat, M.
Coates, and R. Nowak, IEEE Journal on Selected
Areas in Communications.Compressed Sensing vs. Active Learning, R. Castro, J. Jaupt and R. Nowak, ICASSP 2006, Toulouse, France. Minimax
Optimal Level Set Estimation, R. Willett and R.
Nowak, submitted to IEEE Transactions on Image
Processing.
Learning
Minimum Volume Sets, C. Scott and R. Nowak, to
appear in JMLR (also see UW-Madison Technical Report
ECE-05-02). Faster
Rates in Regression via Active Learning, R.
Castro, R. Willett and R. Nowak, University of Wisconsin
Technical Report ECE-05-03. Signal
Reconstruction from Noisy Random Projections, J.
Haupt and R. Nowak, to appear in IEEE Trans. Info.
Theory. Robust Contour Matching via the Order Preserving Assignment Problem, C. Scott and R. Nowak, to appear in IEEE Trans. on Image Processing.. Matched Source-Channel Communication for Field Estimation in Wireless Sensor Networks, W. Bajwa, A. Sayeed and R. Nowak, IPSN 2005, Los Angeles, CA Multiscale Poisson Intensity and Density Estimation, R. Willett and R. Nowak, submitted to IEEE Trans. Info. Theory.
A Neyman-Pearson Approach to Statistical Learning, C. Scott and R. Nowak. Quantized Incremental Algorithms for Distributed Optimization, M. Rabbat and R. Nowak, to appear in JSAC Distributed Collaborative Sensor Networks. Network Radar: Tomography from Round Trip Time Measurements, Y. Tsang, M. Yildiz, P. Barford and R. Nowak, ACM IMC, October, 2004 . Backcasting: Adaptive Sampling for Sensor Networks, R. Willett, A. Martin, and R. Nowak, IPSN 2004, Berkeley, CA. Likelihood Based Hierarchical Clustering, R. Castro and R. Nowak, IEEE Transactions on Signal Processing, 2004. Distributed Optimization in Sensor Networks, M. Rabbat and R. Nowak, IPSN 2004, Berkeley, CA. Multiple Source, Multiple Destination Network Tomography, M. Rabbat, M. Coates, and R. Nowak, IEEE Infocom, 2004. Estimating Inhomogeneous Fields Using Wireless Sensor Networks, R. Nowak, U. Mitra, and R. Willett, IEEE Journal on Selected Areas in Communications, 2004. TEMPLAR: A Wavelet-Based Framework for Pattern Learning and Analysis, C. Scott and R. Nowak, IEEE Transactions on Signal Processing, 2004.
Near-Minimax Optimal Classification with Dyadic Classification Trees, C. Scott and R. Nowak, Neural Information Processing Systems (NIPS), 2003. Multiscale Density Estimation, R. Willett and R. Nowak, Rice University Technical Report TREE 0303. Multiscale Generalized Linear Models for Nonparametric Function Estimation, E. Kolaczyk and R. Nowak, submitted to Biometrika, 2003. Network Delay Tomography, Y. Tsang, M. Coates, and R. Nowak, to appear in IEEE Transactions on Signal Processing, Special Issue on Signal Processing in Networking, 2003. Distributed EM Algorithms for Density Estimation and Clustering in Sensor Networks, R. Nowak, to appear in IEEE Transactions on Signal Processing, Special Issue on Signal Processing in Networking, 2003. An EM
Algorithm for Wavelet-Based Image Restoration, M.
Figueiredo and R. Nowak, IEEE
Transactions on Image Processing, vol.12, no.8, pp.
906-916, August 2003.
Multiscale Likelihood Analysis and Complexity Penalized Estimation, E. D. Kolaczyk and R. D. Nowak, to appear in the Annals of Statistics, 2003. Dyadic Classification Trees via Structural Risk Minimization, C. Scott and R. Nowak, Neural Information Processing Systems 2002.
Multiresolution nonparametric intensity and density
estimation, Willett, R.M.; Nowak, R.D., 2002 IEEE
International Conference on Acoustics, Speech, and
Signal Processing, Volume: 2 , 2002 Page(s): 1493 -1496 Maximum Likelihood Network Topology Identification from Edge-Based Unicast Measurements, M. Coates, R. Castro and R. Nowak, to appear in ACM Sigmetric 2002, Marina Del Rey, California, June 2002. Internet Tomography, M. Coates, A. Hero, R. Nowak and B. Yu, in IEEE Signal Processing Magazine, May 2002.
Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior , Figueiredo, M.A.T.; Nowak, R.D. IEEE Transactions on Image Processing, Volume: 10 Issue: 9 , Sept. 2001 Page(s): 1322 -1331 Unicast Network Tomography Using the EM Algorithm , R. Nowak and M. Coates, submitted to IEEE Transactions on Information Theory, December 2001. Nonparametric Estimation of Internal Delay Densities from Unicast End-to-end Measurement , M. Coates, R. Nowak and Y. Tsang, Technical Report TREE0106, Department of Electrical and Computer Engineering, Rice University, Oct, 2001. Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon Limited Medical Imaging, R. Willett and R. Nowak, submitted to the IEEE Transactions on Medical Imaging, September 2001. Sequential Monte Carlo Inference of Internal Delays in Nonstationary Communication Networks, M. Coates and R. Nowak, IEEE Transactions on Signal Processing, Volume: 50 Issue: 2 , Feb. 2002 Page(s): 366 -376 Template learning from atomic representations: A wavelet-based approach to pattern analysis, C. Scott and R. D. Nowak, Second International Workshop on Statistical and Computational Theories of Vision -- Modeling, Learning, Computing, and Sampling, Vancouver, Canada, July 13, 2001.
A Multiresolution Theory for Likelihoods: Theory and Methods, E. D. Kolaczyk and R. D. Nowak, Rice University Technical Report TREE0006, November 2000. A Statistical Multiscale Framework for Poisson Inverse Problems, R. D. Nowak and E. D. Kolaczyk, IEEE Information Theory, August 2000. Network Inference from Passive Unicast Measurements, Mark Coates and Robert Nowak, Rice University, ECE Department Technical Report TR-0002.
Multiscale Hidden Markov Models for Bayesian Image Analysis, R. D. Nowak, in Bayesian Inference in Wavelet Based Models. Wavelet-based Rician noise removal for magnetic resonance imaging , Nowak, R.D., IEEE Transactions on Image Processing, Volume: 8 Issue: 10 , Oct. 1999 Page(s): 1408 -1419 Wavelet-domain filtering for photon imaging systems , Nowak, R.D.; Baraniuk, R.G., IEEE Transactions on Image Processing, Volume: 8 Issue: 5 , May 1999 Page(s): 666 -678 Wavelet-based transformations for nonlinear signal processing , Nowak, R.D.; Baraniuk, R.G., IEEE Transactions on Signal Processing, Volume: 47 Issue: 7 , July 1999 Page(s): 1852 -1865 Generalized likelihood ratio detection for fMRI using complex data , Nan, F.Y.; Nowak, R.D., IEEE Transactions on Medical Imaging, Volume: 18 Issue: 4 , April 1999 Page(s): 320 -329 Multiscale modeling and estimation of Poisson processes with application to photon-limited imaging, Timmermann, K.E.; Nowak, R.D., IEEE Transactions on Information Theory, Volume: 45 Issue: 3 , April 1999 Page(s): 846 -862
Weighted Highpass Filters Using Multiscale Analysis, R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Image Processing. Wavelet-Based Statistical Signal Processing Using Hidden Markov Models, M. S. Crouse, R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Signal Processing. Wavelet-Based Transformations for Nonlinear Signal Processing, R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Signal Processing.
Optimal Signal Estimation Using Cross-Validation, R. D. Nowak, IEEE Signal Processing Letters, vol. 4, no. 1, January 1997. |
rdnowak@wisc.edu |