**
** The
Sample Complexity of Search over Multiple Populations, M.
Malloy, G. Tang and R. Nowak

Query Complexity of Derivative-Free Optimization, K. Jamieson, R. Nowak and B. Recht

Socioscope: Spatio-Temporal Signal Recovery from Social Media, J-M. Xu, A. Bhargava, R. Nowak and X. Zhu

Sequentially
Designed Compressed Sensing, J. Haupt, R. Baraniuk, R.
Castro and R.
Nowak

Near-Optimal Compressive Binary Search, M. Malloy and R. Nowak

Quickest Search for a Rare Distribution, M. Malloy, G. Tang, and R. Nowak

Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities, J. Jiao, L. Zhang, and R. Nowak

Cross
Validation for Selection of Cortical Interaction Models From Scalp EEG
or MEG, P. Cheung, R. Nowak, H. Lee, W. van Drongelen and B.
Van Veen

**
** High Rank Matrix Completion and
Subspace Clustering with Missing Data,
B. Eriksson, L. Balzano, and R. Nowak

Active Ranking using Pairwise Comparisons, K. Jamieson and R. Nowak

Active
Ranking in Practice,
K. Jamieson and R. Nowak

On the Limits of Sequential Testing in High Dimensions, M. Mally and R. Nowak

Sequential Analysis in High-Dimensional Multiple Testing and Sparse Recovery, M. Malloy and R. Nowak

DomainImpute: Inferring Unseen Components in the Internet, B. Eriksson, P. Barford, J. Sommers and R. Nowak Low-Dimensional
Embedding using Adaptively Selected Ordinal Data,
K. Jamieson and R. Nowak

Empirical Comparison of Full-Wavform Lidar Algorithms, C. Parrish, I. Jeong, R. Nowak, and R. Smith

Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals, N. Rao, R. Nowak and B. Recht

Convex
approaches to model wavelet sparsity patterns, N. Rao, N.
Kingsbury, S. Wright and R. Nowak

On
the Success of Network Inference using a Markov Routing Model,
L. Balzano, R. Nowak, M. Roughan

**
** Active
Clustering: Robust and Efficient Hierarchical Clustering Using
Adaptively Selected Similarities, B. Eriksson, G. Dasarathy,
A. Singh and R. Nowak

** CODE**: MATLAB
code is
available here

2010

**
** Using
Machines to Improve Human Saliency Detection, N. Rao, J.
Harrison, T. Karrels, R. Nowak and T. Rogers, Asilomar 2010.

Causal
Network Inference via Group Sparsity Regularization, A.
Bolstad, B. Van Veen and R. Nowak.

**
** Adaptive
Sensing for Sparse Recovery, J. Haupt and R. Nowak.

Transduction
with Matrix Completion: Three Birds with One Stone, A.
Goldberg, X. Zhu, B. Recht, J. Xu, and R. Nowak, NIPS 2010.

Sparse Interactions: Identifying
High-Dimensional Multilinear Systems via Compressed Sensing, B.
Nazer and R. Nowak, Allerton 2010.

Online
Identification and Tracking of Subspaces from Highly Incomplete
Information, L. Balzano, R. Nowak and B. Recht, Allerton 2010.

**CODE**: MATLAB
code is
available here

**
** Sample
Complexity for 1-bit Compressed Sensing and Sparse Classification, A.
Gupta, B. Recht and R. Nowak, ISIT 2010.

**
** Detecting Weak but
Hierarchically-Structured Patterns in Networks, A.
Singh, R. Calderbank and R. Nowak, AISTATS 2010.

**
** Distilled
Sensing: Adaptive Sampling for Sparse Detection and Estimation, J.
Haupt, R. Castro and R. Nowak, submitted 2010.

**
** High
Dimensional Matched Subspace Detection When Data are Missing,
L. Balzano, B. Recht and R. Nowak, ISIT 2010. **
CODE**: MATLAB
code is
available here

Unlabeled data: Now it helps, now it doesn't, A. Singh, X. Zhu and R. Nowak, NIPS 2008 (extended tech report here).

2007

Characterizing decoding robustness under parametric channel uncertainty, J. Wierer, W. Bajwa, N. Boston and R. Nowak, Allerton '07.

to appear in IEEE Trans. Info. Th.

shorter version appeared at COLT 2007 (COLT paper, Errata)

(extended version, UCLA Technical Report )

M. Figueiredo, R. Nowak and S. Wright.

in Proceedings of the 44th Annual Allerton Conference on Communication, Control and Computing, 2006.

(extended version, UW-Madison Technical Report ECE-06-2)

in

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.

Compressive Wireless Sensing, W. Bajwa, J.
Haupt, A Sayeed, and R. Nowak, IPSN 2006, Nashville, TN.

Decentralized Compression and
Predistribution via Randomized Gossip, M. Rabbat, J. Haupt, A.
Singh, and R. Nowak, , IPSN 2006, Nashville, TN.

Active Learning for Adaptive Mobile
Sensing Networks, A. Singh, R. Nowak and P. Ramanathan, , IPSN
2006, Nashville, TN.

**2005**

Learning
Minimum Volume Sets, C. Scott and R.
Nowak, to appear in JMLR (also see UW-Madison Technical Report
ECE-05-02).

Shorter conference
paper, Neural Information Processing Systems (NIPS) 2005.

Faster Rates
in Regression via Active Learning, R. Castro, R. Willett and R.
Nowak, University of Wisconsin Technical Report
ECE-05-03.

Shorter conference
paper, Neural Information Processing Systems (NIPS) 2005.

Signal
Reconstruction from Noisy Random Projections, J. Haupt and R.
Nowak, to appear in IEEE Trans. Info. Theory.

Shorter conference paper,
IEEE Statistical Signal Processing Workshop, Bordeaux, France, July
2005.

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.**2004
**
Network
Tomography: Recent Developments, R. Castro, M. Coates, G.
Liang, R. Nowak, B. Yu, Statistical
Science, 2004.

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.

**2003**

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.

**2002**

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.

**2001**

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.

**2000**

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.

**1999**

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

**1998**

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.

**1997**

Optimal Signal Estimation Using Cross-Validation, R. D. Nowak, IEEE Signal Processing Letters, vol. 4, no. 1, January 1997.