Biography Research Publications Students Teaching News / Press 
Robert D. Nowak Google Scholar Page 2018 Concentration 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 KLLUCB Algorithm for LargeScale Crowdsourcing with E. Tanczos and R. Mankoff
Learning
LowDimensional Metrics
Low Algebraic
Dimension Matrix Completion
Scalable GLM
Bandits
Mixture
Regression as Subspace Clustering
Algebraic
Variety Models for Matrix Completion
Random Consensus
Robust PCA Active PSD
Matrix Completion
2016
Finite Sample
Recovery Bounds for Ordinal Embedding
How to Model Implicit Knowledge? Visual
Similarity Learning
GroupSparse Subspace Clustering with
Missing Data
A Converse to
LowRank Matrix Completion
Sampling
Requirements of Subspace Clustering with Missing
data
Representational Similarity Learning and
Brain Networks
Anytime Exploration for Multiarmed
Bandits
Top Arm Identification in MultiArmed
Bandits with Batch Pulls
Ordered Weighted L1 Regularized
Regression
2015 NEXT: A System for RealWorld Active Learning with K. Jamieson, L. Jain, C. Fernandez, and N. Glattard
An Efficient Algorithm for Graphbased
Active Learning
Learning
SingleIndex Models in High Dimensions
Deterministic Sampling Patterns for
LowRank Matrix Completion
Sparse Dueling Bandits Sparse Estimation with Strongly
Correlated Variables Data Requirement for Phylogenetic
Inference from Multiple Loci
On the Sample Complexity of Subspace
Clustering with Missing Data
Bestarm Identification Algorithms for
MultiArmed Bandits Classification with the Sparse
Overlapping Group Lasso 2013 lil' UCB: An
Optimal Exploration Algorithm for MultiArmed
Bandits Sparse Overlapping Sets Lasso for
Multitask Learning and fMRI On Finding the Largest Mean Among Many
Nearoptimal
Adaptive Compressed Sensing Sketching Sparse
Matrices
A
Junction Tree Framework for Undirected Graphical
Model Selection The Sample
Complexity of Search over Multiple Populations 2011 High Rank Matrix
Completion and Subspace Clustering with Missing Data Active Ranking
using Pairwise Comparisons Active Ranking
in Practice On the
Limits of Sequential Testing in High Dimensions Sequential
Analysis in HighDimensional Multiple Testing B. Eriksson, P. Barford, J. Sommers and R. Nowak, INFOCOM 2011 LowDimensional
Embedding using Adaptive Ordinal Data Empirical
Comparison of FullWavform 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,
Minimax
Optimal Level Set Estimation, R. Willett and R.
Nowak, submitted to IEEE Transactions on Image
Processing. 2005 Learning
Minimum Volume Sets, C. Scott and R. Nowak, to
appear in JMLR (also see UWMadison Technical Report
ECE0502). Faster
Rates in Regression via Active Learning, R.
Castro, R. Willett and R. Nowak, University of Wisconsin
Technical Report ECE0503. 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 SourceChannel 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 A NeymanPearson 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 WaveletBased Framework for Pattern Learning and Analysis, C. Scott and R. Nowak, IEEE Transactions on Signal Processing, 2004. 2003 NearMinimax 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 WaveletBased Image Restoration, M.
Figueiredo and R. Nowak, IEEE
Transactions on Image Processing, vol.12, no.8, pp.
906916, 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 EdgeBased 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 Waveletbased 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 Endtoend 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 waveletbased 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 TR0002. 1999 Multiscale Hidden Markov Models for Bayesian Image Analysis, R. D. Nowak, in Bayesian Inference in Wavelet Based Models. Waveletbased 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 Waveletdomain 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 Waveletbased 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 photonlimited 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. WaveletBased Statistical Signal Processing Using Hidden Markov Models, M. S. Crouse, R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Signal Processing. WaveletBased Transformations for Nonlinear Signal Processing, R. D. Nowak and R. G. Baraniuk, appeared in IEEE Transactions on Signal Processing. 1997 Optimal Signal Estimation Using CrossValidation, R. D. Nowak, IEEE Signal Processing Letters, vol. 4, no. 1, January 1997. 
