Robert D. Nowak

Affiliations:
  • University of Wisconsin-Madison, Department of Electrical and Computer Engineering, WI, USA


According to our database1, Robert D. Nowak authored at least 305 papers between 1993 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2010, "For contributions to statistical signal and image processing".

Timeline

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Bibliography

2024
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments.
CoRR, 2024

Learning from the Best: Active Learning for Wireless Communications.
CoRR, 2024

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.
CoRR, 2024

2023
Deep Learning Meets Sparse Regularization: A signal processing perspective.
IEEE Signal Process. Mag., September, 2023

Efficiently Learning Relative Similarity Embeddings with Crowdsourcing.
J. Open Source Softw., March, 2023

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks.
IEEE Trans. Inf. Theory, February, 2023

DIRECT: Deep Active Learning under Imbalance and Label Noise.
CoRR, 2023

Looped Transformers are Better at Learning Learning Algorithms.
CoRR, 2023

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits.
CoRR, 2023

On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation.
CoRR, 2023

Weighted variation spaces and approximation by shallow ReLU networks.
CoRR, 2023

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning.
CoRR, 2023

Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization.
CoRR, 2023

Algorithm Selection for Deep Active Learning with Imbalanced Datasets.
CoRR, 2023

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits.
CoRR, 2023

A Fully First-Order Method for Stochastic Bilevel Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection.
Proceedings of the International Conference on Machine Learning, 2023

2022
What Kinds of Functions Do Deep Neural Networks Learn? Insights from Variational Spline Theory.
SIAM J. Math. Data Sci., 2022

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets.
CoRR, 2022

ReVar: Strengthening policy evaluation via reduced variance sampling.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Efficient Active Learning with Abstention.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Learning with Neural Networks: Insights from Nonparametric Statistics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

One for All: Simultaneous Metric and Preference Learning over Multiple Users.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GALAXY: Graph-based Active Learning at the Extreme.
Proceedings of the International Conference on Machine Learning, 2022

Training OOD Detectors in their Natural Habitats.
Proceedings of the International Conference on Machine Learning, 2022

On Continuous-Domain Inverse Problems with Sparse Superpositions of Decaying Sinusoids as Solutions.
Proceedings of the IEEE International Conference on Acoustics, 2022


Learning Preference Distributions From Distance Measurements.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

Pareto Optimal Model Selection in Linear Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Near Instance Optimal Model Selection for Pure Exploration Linear Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Chernoff Sampling for Active Testing and Extension to Active Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Nearly Optimal Algorithms for Level Set Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Similarity Search for Efficient Active Learning and Search of Rare Concepts.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Tensor Methods for Nonlinear Matrix Completion.
SIAM J. Math. Data Sci., 2021

Banach Space Representer Theorems for Neural Networks and Ridge Splines.
J. Mach. Learn. Res., 2021

Nearest neighbor search under uncertainty.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Pure Exploration in Kernel and Neural Bandits.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimal Confidence Sets for the Multinomial Parameter.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
The Role of Neural Network Activation Functions.
IEEE Signal Process. Lett., 2020

MaxiMin Active Learning in Overparameterized Model Classes.
IEEE J. Sel. Areas Inf. Theory, 2020

Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms.
CoRR, 2020

Finding All ε-Good Arms in Stochastic Bandits.
CoRR, 2020

Neural Networks, Ridge Splines, and TV Regularization in the Radon Domain.
CoRR, 2020

Optimal Confidence Regions for the Multinomial Parameter.
CoRR, 2020

On Regret with Multiple Best Arms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Finding All $\epsilon$-Good Arms in Stochastic Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Outlier Arm Identification.
Proceedings of the 37th International Conference on Machine Learning, 2020

Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception.
Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Linear Bandits with Feature Feedback.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Minimum "Norm" Neural Networks are Splines.
CoRR, 2019

Should Adversarial Attacks Use Pixel p-Norm?
CoRR, 2019

Active Learning in the Overparameterized and Interpolating Regime.
CoRR, 2019

Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods.
Cogn. Sci., 2019

Learning Nearest Neighbor Graphs from Noisy Distance Samples.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

MaxGap Bandit: Adaptive Algorithms for Approximate Ranking.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bilinear Bandits with Low-rank Structure.
Proceedings of the 36th International Conference on Machine Learning, 2019

Maximin Active Learning with Data-Dependent Norms.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Concentration Inequalities for the Empirical Distribution.
CoRR, 2018

Scalable Sparse Subspace Clustering via Ordered Weighted 𝓁<sub>1</sub> Regression.
CoRR, 2018

TimeWeaver: Opportunistic One Way Delay Measurement Via NTP.
Proceedings of the 30th International Teletraffic Congress, 2018

Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

For Teaching Perceptual Fluency, Machines Beat Human Experts.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Scalable Sparse Subspace Clustering via Ordered Weighted l1 Regression.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Teacher Improves Learning by Selecting a Training Subset.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Adaptive Sampling for Coarse Ranking.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Learning the Interference Graph of a Wireless Network.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Coalescent-based species tree estimation: a stochastic Farris transform.
CoRR, 2017

NEXT: A system to easily connect crowdsourcing and adaptive data collection.
Proceedings of the 16th Python in Science Conference 2017, 2017

A KL-LUCB algorithm for Large-Scale Crowdsourcing.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Low-Dimensional Metrics.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Scalable Generalized Linear Bandits: Online Computation and Hashing.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Algebraic Variety Models for High-Rank Matrix Completion.
Proceedings of the 34th International Conference on Machine Learning, 2017

Low algebraic dimension matrix completion.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Random Consensus Robust PCA.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

On Learning High Dimensional Structured Single Index Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Classification With the Sparse Group Lasso.
IEEE Trans. Signal Process., 2016

Corrections to "A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion".
IEEE J. Sel. Top. Signal Process., 2016

A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion.
IEEE J. Sel. Top. Signal Process., 2016

Bandit Approaches to Preference Learning Problems with Multiple Populations.
CoRR, 2016

Group-sparse subspace clustering with missing data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Finite Sample Prediction and Recovery Bounds for Ordinal Embedding.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A converse to low-rank matrix completion.
Proceedings of the IEEE International Symposium on Information Theory, 2016

The Information-Theoretic Requirements of Subspace Clustering with Missing Data.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Representational Similarity Learning with Application to Brain Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Anytime Exploration for Multi-armed Bandits using Confidence Information.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Graph-based active learning: A new look at expected error minimization.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Necessary and sufficient conditions for sketched subspace clustering.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Sketching Sparse Matrices, Covariances, and Graphs via Tensor Products.
IEEE Trans. Inf. Theory, 2015

Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Learning Single Index Models in High Dimensions.
CoRR, 2015

NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deterministic conditions for subspace identifiability from incomplete sampling.
Proceedings of the IEEE International Symposium on Information Theory, 2015

S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification.
Proceedings of The 28th Conference on Learning Theory, 2015

Adaptive strategy for restricted-sampling noisy low-rank matrix completion.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Sparse Dueling Bandits.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Sequential Testing for Sparse Recovery.
IEEE Trans. Inf. Theory, 2014

Near-Optimal Adaptive Compressed Sensing.
IEEE Trans. Inf. Theory, 2014

A junction tree framework for undirected graphical model selection.
J. Mach. Learn. Res., 2014

Logistic Regression with Structured Sparsity.
CoRR, 2014

On the sample complexity of subspace clustering with missing data.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

New sample complexity bounds for phylogenetic inference from multiple loci.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits.
Proceedings of The 27th Conference on Learning Theory, 2014

Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Active Learning for Undirected Graphical Model Selection.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
The Sample Complexity of Search Over Multiple Populations.
IEEE Trans. Inf. Theory, 2013

Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals.
IEEE J. Sel. Top. Signal Process., 2013

Sketching Sparse Matrices
CoRR, 2013

On Finding the Largest Mean Among Many.
CoRR, 2013

Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract).
Proceedings of the IJCAI 2013, 2013

A greedy forward-backward algorithm for atomic norm constrained minimization.
Proceedings of the IEEE International Conference on Acoustics, 2013

Technical program overview.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Efficient Network Tomography for Internet Topology Discovery.
IEEE/ACM Trans. Netw., 2012

Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities.
IEEE Trans. Inf. Theory, 2012

Cross Validation for Selection of Cortical Interaction Models From Scalp EEG or MEG.
IEEE Trans. Biomed. Eng., 2012

Posit: a lightweight approach for IP geolocation.
SIGMETRICS Perform. Evaluation Rev., 2012

Universal Measurement Bounds for Structured Sparse Signal Recovery.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

High-Rank Matrix Completion.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media
CoRR, 2012

Near-Optimal Compressive Binary Search
CoRR, 2012

Sequentially designed compressed sensing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

K-subspaces with missing data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Socioscope: Spatio-temporal Signal Recovery from Social Media.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Query Complexity of Derivative-Free Optimization.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Passive learning of the interference graph of a wireless network.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Correlated gaussian designs for compressive imaging.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Quickest search for a rare distribution.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

Covariance sketching.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Adaptive sensing for sparse recovery.
Proceedings of the Compressed Sensing, 2012

2011
Causal Network Inference Via Group Sparse Regularization.
IEEE Trans. Signal Process., 2011

The Geometry of Generalized Binary Search.
IEEE Trans. Inf. Theory, 2011

Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation.
IEEE Trans. Inf. Theory, 2011

Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing.
IEEE J. Sel. Top. Signal Process., 2011

Inferring Unseen Components of the Internet Core.
IEEE J. Sel. Areas Commun., 2011

Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

High-Rank Matrix Completion and Subspace Clustering with Missing Data
CoRR, 2011

Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals.
CoRR, 2011

Active Ranking using Pairwise Comparisons.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Sequential analysis in high-dimensional multiple testing and sparse recovery.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

DomainImpute: Inferring unseen components in the Internet.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Convex approaches to model wavelet sparsity patterns.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Deterministic pilot sequences for sparse channel estimation in OFDM systems.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

On the success of network inference using a markov routing model.
Proceedings of the IEEE International Conference on Acoustics, 2011

Automatic adaptation in classification algorithms fusing data from heterogeneous sensors.
Proceedings of the 14th International Conference on Information Fusion, 2011

Low-dimensional embedding using adaptively selected ordinal data.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

On the limits of sequential testing in high dimensions.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation.
IEEE Trans. Inf. Theory, 2010

Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels.
Proc. IEEE, 2010

Detecting Weak but Hierarchically-Structured Patterns in Networks.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A Learning-Based Approach for IP Geolocation.
Proceedings of the Passive and Active Measurement, 11th International Conference, 2010

Transduction with Matrix Completion: Three Birds with One Stone.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Improved bounds for sparse recovery from adaptive measurements.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Sample complexity for 1-bit compressed sensing and sparse classification.
Proceedings of the IEEE International Symposium on Information Theory, 2010

High-dimensional Matched Subspace Detection when data are missing.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Toward the Practical Use of Network Tomography for Internet Topology Discovery.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Efficient designs for multiple gene knockdown experiments.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010

On the Restricted Isometry of deterministically subsampled Fourier matrices.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Sparse interactions: Identifying high-dimensional multilinear systems via compressed sensing.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Online identification and tracking of subspaces from highly incomplete information.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Sparse reconstruction by separable approximation.
IEEE Trans. Signal Process., 2009

Space-time event sparse penalization for magneto-/electroencephalography.
NeuroImage, 2009

Distilled sensing: selective sampling for sparse signal recovery.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Multi-Manifold Semi-Supervised Learning.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Noisy Generalized Binary Search.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Image Reconstruction of Multiphoton Microscopy Data.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Estimating Hop Distance Between Arbitrary Host Pairs.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

A restricted isometry property for structurally-subsampled unitary matrices.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Network Inference From Co-Occurrences.
IEEE Trans. Inf. Theory, 2008

Minimax Bounds for Active Learning.
IEEE Trans. Inf. Theory, 2008

Compressed Sensing for Networked Data.
IEEE Signal Process. Mag., 2008

Compressive Sampling [From the Guest Editors].
IEEE Signal Process. Mag., 2008

Network discovery from passive measurements.
Proceedings of the ACM SIGCOMM 2008 Conference on Applications, 2008

Unlabeled data: Now it helps, now it doesn't.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Human Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Controlling the error in FMRI: Hypothesis testing or set estimation?
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Learning to satisfy.
Proceedings of the IEEE International Conference on Acoustics, 2008

Finding needles in noisy haystacks.
Proceedings of the IEEE International Conference on Acoustics, 2008

Adaptive Hausdorff Estimation of Density Level Sets.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

Compressed channel sensing.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Generalized binary search.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Learning sparse doubly-selective channels.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Adaptive discovery of sparse signals in noise.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

Compressed sensing of wireless channels in time, frequency, and space.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

Learning Bigrams from Unigrams.
Proceedings of the ACL 2008, 2008

2007
Multiscale Poisson Intensity and Density Estimation.
IEEE Trans. Inf. Theory, 2007

Joint Source-Channel Communication for Distributed Estimation in Sensor Networks.
IEEE Trans. Inf. Theory, 2007

Minimax Optimal Level-Set Estimation.
IEEE Trans. Image Process., 2007

Majorization-Minimization Algorithms for Wavelet-Based Image Restoration.
IEEE Trans. Image Process., 2007

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems.
J. Sel. Topics Signal Processing, 2007

A Decision-Theoretic Approach to Transillumination Imaging in Biological Mediums.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Space-Time Sparsity Regularization for the Magnetoencephalography Inverse Problem.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Blind calibration of sensor networks.
Proceedings of the 6th International Conference on Information Processing in Sensor Networks, 2007

Learning network structure from passive measurements.
Proceedings of the 7th ACM SIGCOMM Internet Measurement Conference, 2007

Genomic Network Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2007

Compressive Sampling for Signal Detection.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Minimax-optimal classification with dyadic decision trees.
IEEE Trans. Inf. Theory, 2006

Signal Reconstruction From Noisy Random Projections.
IEEE Trans. Inf. Theory, 2006

Robust Contour Matching Via the Order-Preserving Assignment Problem.
IEEE Trans. Image Process., 2006

Multiple-Source Internet Tomography.
IEEE J. Sel. Areas Commun., 2006

Learning Minimum Volume Sets.
J. Mach. Learn. Res., 2006

Inferring Network Structure from Co-Occurrences.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Active learning for adaptive mobile sensing networks.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Decentralized compression and predistribution via randomized gossiping.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Compressive wireless sensing.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Compressive Sampling Vs. Conventional Imaging.
Proceedings of the International Conference on Image Processing, 2006

On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising.
Proceedings of the International Conference on Image Processing, 2006

Maximum Likelihood Methods for Time-Resolved Imaging Through Turbid Media.
Proceedings of the International Conference on Image Processing, 2006

On the Performance of Round Trip Time Network Tomography.
Proceedings of IEEE International Conference on Communications, 2006

Compressed Sensing Vs. Active Learning.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Compressed sensing in noisy imaging environments.
Proceedings of the Computational Imaging IV, San Jose, 2006

2005
A Neyman-Pearson approach to statistical learning.
IEEE Trans. Inf. Theory, 2005

Quantized incremental algorithms for distributed optimization.
IEEE J. Sel. Areas Commun., 2005

Faster Rates in Regression via Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Matched source-channel communication for field estimation in wireless sensor networks.
Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks, 2005

A bound optimization approach to wavelet-based image deconvolution.
Proceedings of the 2005 International Conference on Image Processing, 2005

Level set estimation via trees [signal processing applications].
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Robust decentralized source localization via averaging.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
TEMPLAR: a wavelet-based framework for pattern learning and analysis.
IEEE Trans. Signal Process., 2004

Guest Editorial: Special Issue on Machine Learning Methods in Signal Processing.
IEEE Trans. Signal Process., 2004

Likelihood based hierarchical clustering.
IEEE Trans. Signal Process., 2004

Estimating inhomogeneous fields using wireless sensor networks.
IEEE J. Sel. Areas Commun., 2004

On the Adaptive Properties of Decision Trees.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Complexity-regularized multiresolution density estimation.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Adaptive sampling for wireless sensor networks.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Fast Multiresolution Photon-Limited Image Reconstruction.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Backcasting: adaptive sampling for sensor networks.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Distributed optimization in sensor networks.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Multiple Source, Multiple Destination Network Tomography.
Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

Network radar: tomography from round trip time measurements.
Proceedings of the 4th ACM SIGCOMM Internet Measurement Conference, 2004

Decentralized source localization and tracking [wireless sensor networks].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Coarse-to-fine manifold learning [image processing example].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Fast, near-optimal, multiresolution estimation of poisson signals and images.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Network delay tomography.
IEEE Trans. Signal Process., 2003

Distributed EM algorithms for density estimation and clustering in sensor networks.
IEEE Trans. Signal Process., 2003

Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon LimitedMedical Imaging.
IEEE Trans. Medical Imaging, 2003

An EM algorithm for wavelet-based image restoration.
IEEE Trans. Image Process., 2003

Near-Minimax Optimal Classification with Dyadic Classification Trees.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Boundary Estimation in Sensor Networks: Theory and Methods.
Proceedings of the Information Processing in Sensor Networks, 2003

Merging logical topologies using end-to-end measurements.
Proceedings of the 3rd ACM SIGCOMM Internet Measurement Conference, 2003

Distributed image compression for sensor networks using correspondence analysis and super-resolution.
Proceedings of the 2003 International Conference on Image Processing, 2003

CORT: classification or regression trees.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Distributed EM algorithms for density estimation in sensor networks.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Likelihood Based Hierarchical Clustering and Network Topology Identification.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

2002
Sequential Monte Carlo inference of internal delays in nonstationary data networks.
IEEE Trans. Signal Process., 2002

Internet tomography.
IEEE Signal Process. Mag., 2002

Maximum likelihood network topology identification from edge-based unicast measurements.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2002

Dyadic Classification Trees via Structural Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Platelets for multiscale analysis in photon-limited imaging.
Proceedings of the 2002 International Conference on Image Processing, 2002

Image restoration under wavelet-domain priors: an expectation-maximization approach.
Proceedings of the 2002 International Conference on Image Processing, 2002

Satellite and aerial image deconvolution using an EM method with complex wavelets.
Proceedings of the 2002 International Conference on Image Processing, 2002

Multiresolution nonparametric intensity and density estimation.
Proceedings of the IEEE International Conference on Acoustics, 2002

Nonparametric internet tomography.
Proceedings of the IEEE International Conference on Acoustics, 2002

Wavelet-based adaptive image deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2002


2001
Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior.
IEEE Trans. Image Process., 2001

Processing DNA Tokens in Parallel Computing.
Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

A wavelet-based statistical model for image restoration.
Proceedings of the 2001 International Conference on Image Processing, 2001

Coding theoretic approach to image segmentation.
Proceedings of the 2001 International Conference on Image Processing, 2001

Passive network tomography using EM algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2001

Network tomography for internal delay estimation.
Proceedings of the IEEE International Conference on Acoustics, 2001

Wavelet-based denoising using hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
A statistical multiscale framework for Poisson inverse problems.
IEEE Trans. Inf. Theory, 2000

Overcomplete Image Representations and Locally Best Model Selection.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

A Novel Hierarchical Wavelet-Based Framework for Pattern Analysis and Synthesis.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

Spectroscopic Imaging Using Terahertz Time-Domain Signals.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

Unsupervised Segmentation of Poisson Data.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

A New Multiscale Bayesian Model Averaging Framework for Texture Segmentation.
Proceedings of the 2000 International Conference on Image Processing, 2000

Pattern Extraction and Synthesis Using a Hierarchical Wavelet-Based Framework.
Proceedings of the 2000 International Conference on Image Processing, 2000

Model-Based Inverse Halftoning with Wavelet-Vaguelette Deconvolution.
Proceedings of the 2000 International Conference on Image Processing, 2000

A new Bayesian model averaging framework for wavelet-based signal processing.
Proceedings of the IEEE International Conference on Acoustics, 2000

Bayesian multiscale tomographic reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Wavelet-based transformations for nonlinear signal processing.
IEEE Trans. Signal Process., 1999

Generalized Likelihood Ratio Detection for Functional MRI Signal Using Complex Data.
IEEE Trans. Medical Imaging, 1999

Multiscale Modeling and Estimation of Poisson Processes with Application to Photon-Limited Imaging.
IEEE Trans. Inf. Theory, 1999

Wavelet-domain filtering for photon imaging systems.
IEEE Trans. Image Process., 1999

Wavelet-based Rician noise removal for magnetic resonance imaging.
IEEE Trans. Image Process., 1999

Quasi-Circular Rotation Invariance in Image Denoising.
Proceedings of the 1999 International Conference on Image Processing, 1999

Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria.
Proceedings of the 1999 International Conference on Image Processing, 1999

Improved emission tomography via multiscale sinogram analysis.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

A Bayesian multiscale framework for Poisson inverse problems.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Penalized least squares estimation of Volterra filters and higher order statistics.
IEEE Trans. Signal Process., 1998

Wavelet-based statistical signal processing using hidden Markov models.
IEEE Trans. Signal Process., 1998

Adaptive weighted highpass filters using multiscale analysis.
IEEE Trans. Image Process., 1998

Stationary Wavelet-based Intensity Models for Photon-Limited Imaging.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Wavelet-domain modeling and estimation of Poisson processes.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Wavelet-vaguelette restoration in photon-limited imaging.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Adaptive wavelet transforms via lifting.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Volterra filter equalization: a fixed point approach.
IEEE Trans. Signal Process., 1997

Low-rank estimation of higher order statistics.
IEEE Trans. Signal Process., 1997

Optimal signal estimation using cross-validation.
IEEE Signal Process. Lett., 1997

Signal estimation using wavelet-Markov models.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Tensor product basis approximations for Volterra filters.
IEEE Trans. Signal Process., 1996

Volterra filter identification using penalized least squares.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Invertibility of higher order moment matrices.
IEEE Trans. Signal Process., 1995

Reduced parameter Volterra filters.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Random and pseudorandom inputs for Volterra filter identification.
IEEE Trans. Signal Process., 1994

Efficient methods for identification of Volterra filter models.
Signal Process., 1994

Volterra filtering with spectral constraints.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
Nonlinear system identification with pseudorandom multilevel excitation sequences.
Proceedings of the IEEE International Conference on Acoustics, 1993


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