Nonlinear system identification with pseudorandom multilevel excitation sequences. - Robert D. Nowak; Barry D. Van Veen (ICASSP (4), 1993)

Volterra filtering with spectral constraints. - Robert D. Nowak; Barry D. Van Veen (ICASSP (4), 1994)

Efficient methods for identification of Volterra filter models. - Robert D. Nowak; Barry D. Van Veen (Signal Process., 1994)

Random and pseudorandom inputs for Volterra filter identification. - Robert D. Nowak; Barry D. Van Veen (IEEE Trans. Signal Process., 1994)

Reduced parameter Volterra filters. - Robert D. Nowak; Barry D. Van Veen (ICASSP, 1995)

Invertibility of higher order moment matrices. - Robert D. Nowak; Barry D. Van Veen (IEEE Trans. Signal Process., 1995)

Low rank estimation of higher order statistics. - Thomas F. Andre; Robert D. Nowak; Barry D. Van Veen (ICASSP, 1996)

Volterra filter identification using penalized least squares. - Robert D. Nowak (ICASSP, 1996)

Tensor product basis approximations for Volterra filters. - Robert D. Nowak; Barry D. Van Veen (IEEE Trans. Signal Process., 1996)

Signal estimation using wavelet-Markov models. - Matthew S. Crouse; Richard G. Baraniuk; Robert D. Nowak (ICASSP, 1997)

Wavelet-based transformations for nonlinear signal processing. - Robert D. Nowak; Richard G. Baraniuk (ICASSP, 1997)

Optimal signal estimation using cross-validation. - Robert D. Nowak (IEEE Signal Process. Lett., 1997)

Volterra filter equalization: a fixed point approach. - Robert D. Nowak; Barry D. Van Veen (IEEE Trans. Signal Process., 1997)

Adaptive wavelet transforms via lifting. - Roger L. Claypoole Jr.; Richard G. Baraniuk; Robert D. Nowak (ICASSP, 1998)

Wavelet-vaguelette restoration in photon-limited imaging. - Robert D. Nowak; Michael J. Thul (ICASSP, 1998)

Wavelet-domain modeling and estimation of Poisson processes. - Klaus E. Timmermann; Robert D. Nowak (ICASSP, 1998)

Stationary Wavelet-based Intensity Models for Photon-Limited Imaging. - Robert D. Nowak; Klaus E. Timmermann (ICIP (1), 1998)

Adaptive weighted highpass filters using multiscale analysis. - Robert D. Nowak; Richard G. Baraniuk (IEEE Trans. Image Process., 1998)

Wavelet-based statistical signal processing using hidden Markov models. - Matthew S. Crouse; Robert D. Nowak; Richard G. Baraniuk (IEEE Trans. Signal Process., 1998)

Penalized least squares estimation of Volterra filters and higher order statistics. - Robert D. Nowak (IEEE Trans. Signal Process., 1998)

A Bayesian multiscale framework for Poisson inverse problems. - Robert D. Nowak; Eric D. Kolaczyk (ICASSP, 1999)

Improved emission tomography via multiscale sinogram analysis. - Klaus E. Timmermann; Robert D. Nowak; Keith J. Jones (ICASSP, 1999)

Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria. - Robert D. Nowak; Mário A. T. Figueiredo (ICIP (2), 1999)

Quasi-Circular Rotation Invariance in Image Denoising. - Yi Wan; Robert D. Nowak (ICIP (1), 1999)

Wavelet-based Rician noise removal for magnetic resonance imaging. - Robert D. Nowak (IEEE Trans. Image Process., 1999)

Wavelet-domain filtering for photon imaging systems. - Robert D. Nowak; Richard G. Baraniuk (IEEE Trans. Image Process., 1999)

Multiscale Modeling and Estimation of Poisson Processes with Application to Photon-Limited Imaging. - Klaus E. Timmermann; Robert D. Nowak (IEEE Trans. Inf. Theory, 1999)

Generalized Likelihood Ratio Detection for Functional MRI Signal Using Complex Data. - F. Y. Nan; Robert D. Nowak (IEEE Trans. Medical Imaging, 1999)

Bayesian multiscale tomographic reconstruction. - Robert D. Nowak; Eric D. Kolaczyk; David S. Lalush; Benjamin M. W. Tsui (ICASSP, 2000)

A new Bayesian model averaging framework for wavelet-based signal processing. - Yi Wan; Robert D. Nowak (ICASSP, 2000)

Model-Based Inverse Halftoning with Wavelet-Vaguelette Deconvolution. - Ramesh Neelamani; Robert D. Nowak; Richard G. Baraniuk (ICIP, 2000)

Pattern Extraction and Synthesis Using a Hierarchical Wavelet-Based Framework. - Clayton D. Scott; Robert D. Nowak (ICIP, 2000)

A New Multiscale Bayesian Model Averaging Framework for Texture Segmentation. - Yi Wan; Robert D. Nowak (ICIP, 2000)

Unsupervised Segmentation of Poisson Data. - Robert D. Nowak; Mário A. T. Figueiredo (ICPR, 2000)

Spectroscopic Imaging Using Terahertz Time-Domain Signals. - Timothy Dorney; Richard G. Baraniuk; Daniel M. Mittleman; Robert D. Nowak (SSIAI, 2000)

A Novel Hierarchical Wavelet-Based Framework for Pattern Analysis and Synthesis. - Clayton D. Scott; Robert D. Nowak (SSIAI, 2000)

Overcomplete Image Representations and Locally Best Model Selection. - Yi Wan; Robert D. Nowak (SSIAI, 2000)

A statistical multiscale framework for Poisson inverse problems. - Robert D. Nowak; Eric D. Kolaczyk (IEEE Trans. Inf. Theory, 2000)

Wavelet-based denoising using hidden Markov models. - Mohammad Jaber Borran; Robert D. Nowak (ICASSP, 2001)

Network tomography for internal delay estimation. - Mark Coates; Robert D. Nowak (ICASSP, 2001)

Passive network tomography using EM algorithms. - Yolanda Tsang; Mark Coates; Robert D. Nowak (ICASSP, 2001)

Coding theoretic approach to image segmentation. - Unoma Ndili; Robert D. Nowak; Mário A. T. Figueiredo (ICIP (3), 2001)

A wavelet-based statistical model for image restoration. - Yi Wan; Robert D. Nowak (ICIP (1), 2001)

Processing DNA Tokens in Parallel Computing. - Robert D. Nowak; Piotr Wasiewicz; Jan J. Mulawka; Andrzej Plucienniczak (IPDPS, 2001)

Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior. - Mário A. T. Figueiredo; Robert D. Nowak (IEEE Trans. Image Process., 2001)

Connexions: DSP education for a networked world. - Richard G. Baraniuk; C. Sidney Burrus; B. M. Hendricks; G. L. Henry; Alfred O. Hero III; Don H. Johnson; Douglas L. Jones; Julius Kusuma; Robert D. Nowak; J. E. Odegard; Lee C. Potter; Kannan Ramchandran; et al. (ICASSP, 2002)

Wavelet-based adaptive image deconvolution. - Mário A. T. Figueiredo; Robert D. Nowak (ICASSP, 2002)

Nonparametric internet tomography. - Yolanda Tsang; Mark Coates; Robert D. Nowak (ICASSP, 2002)

Multiresolution nonparametric intensity and density estimation. - Rebecca M. Willett; Robert D. Nowak (ICASSP, 2002)

Satellite and aerial image deconvolution using an EM method with complex wavelets. - André Jalobeanu; Robert D. Nowak; Josiane Zerubia; Mário A. T. Figueiredo (ICIP (1), 2002)

Image restoration under wavelet-domain priors: an expectation-maximization approach. - Robert D. Nowak; Mário A. T. Figueiredo (ICIP (1), 2002)

Platelets for multiscale analysis in photon-limited imaging. - Rebecca Willett; Robert D. Nowak (ICIP (1), 2002)

Dyadic Classification Trees via Structural Risk Minimization. - Clayton D. Scott; Robert D. Nowak (NIPS, 2002)

Maximum likelihood network topology identification from edge-based unicast measurements. - Mark Coates; Rui M. Castro; Robert D. Nowak; Manik Gadhiok; Ryan King; Yolanda Tsang (SIGMETRICS, 2002)

Internet tomography. - Mark Coates; Alfred O. Hero III; Robert D. Nowak; Bin Yu 001 (IEEE Signal Process. Mag., 2002)

Sequential Monte Carlo inference of internal delays in nonstationary data networks. - Mark Coates; Robert D. Nowak (IEEE Trans. Signal Process., 2002)

Likelihood Based Hierarchical Clustering and Network Topology Identification. - Rui M. Castro; Robert D. Nowak (EMMCVPR, 2003)

Distributed EM algorithms for density estimation in sensor networks. - Robert D. Nowak (ICASSP (4), 2003)

CORT: classification or regression trees. - Clayton D. Scott; Rebecca M. Willett; Robert D. Nowak (ICASSP (6), 2003)

Distributed image compression for sensor networks using correspondence analysis and super-resolution. - Raymond S. Wagner; Robert D. Nowak; Richard G. Baraniuk (ICIP (1), 2003)

Merging logical topologies using end-to-end measurements. - Mark Coates; Michael G. Rabbat; Robert D. Nowak (Internet Measurement Conference, 2003)

Boundary Estimation in Sensor Networks: Theory and Methods. - Robert D. Nowak; Urbashi Mitra (IPSN, 2003)

Near-Minimax Optimal Classification with Dyadic Classification Trees. - Clayton D. Scott; Robert D. Nowak (NIPS, 2003)

An EM algorithm for wavelet-based image restoration. - Mário A. T. Figueiredo; Robert D. Nowak (IEEE Trans. Image Process., 2003)

Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon LimitedMedical Imaging. - Rebecca Willett; Robert D. Nowak (IEEE Trans. Medical Imaging, 2003)

Distributed EM algorithms for density estimation and clustering in sensor networks. - Robert D. Nowak (IEEE Trans. Signal Process., 2003)

Network delay tomography. - Yolanda Tsang; Mark Coates; Robert D. Nowak (IEEE Trans. Signal Process., 2003)

Fast, near-optimal, multiresolution estimation of poisson signals and images. - Rebecca Willett; Robert D. Nowak (EUSIPCO, 2004)

Coarse-to-fine manifold learning [image processing example]. - Rui M. Castro; Rebecca Willett; Robert D. Nowak (ICASSP (3), 2004)

Decentralized source localization and tracking [wireless sensor networks]. - Michael G. Rabbat; Robert D. Nowak (ICASSP (3), 2004)

Network radar: tomography from round trip time measurements. - Yolanda Tsang; Mehmet Can Yildiz; Paul Barford; Robert D. Nowak (Internet Measurement Conference, 2004)

Multiple Source, Multiple Destination Network Tomography. - Michael G. Rabbat; Robert D. Nowak; Mark Coates (INFOCOM, 2004)

Distributed optimization in sensor networks. - Michael G. Rabbat; Robert D. Nowak (IPSN, 2004)

Backcasting: adaptive sampling for sensor networks. - Rebecca Willett; Aline Martin; Robert D. Nowak (IPSN, 2004)

Fast Multiresolution Photon-Limited Image Reconstruction. - Rebecca Willett; Robert D. Nowak (ISBI, 2004)

Adaptive sampling for wireless sensor networks. - Rebecca M. Willett; Aline Martin; Robert D. Nowak (ISIT, 2004)

Complexity-regularized multiresolution density estimation. - Rebecca M. Willett; Robert D. Nowak (ISIT, 2004)

On the Adaptive Properties of Decision Trees. - Clayton D. Scott; Robert D. Nowak (NIPS, 2004)

Estimating inhomogeneous fields using wireless sensor networks. - Robert D. Nowak; Urbashi Mitra; Rebecca Willett (IEEE J. Sel. Areas Commun., 2004)

Likelihood based hierarchical clustering. - Rui M. Castro; Mark Coates; Robert D. Nowak (IEEE Trans. Signal Process., 2004)

Guest Editorial: Special Issue on Machine Learning Methods in Signal Processing. - Meir Feder; Mário A. T. Figueiredo; Alfred O. Hero III; Chin-Hui Lee; Hans-Andrea Loeliger; Robert D. Nowak; Andrew C. Singer; Bin Yu 001 (IEEE Trans. Signal Process., 2004)

TEMPLAR: a wavelet-based framework for pattern learning and analysis. - Clayton D. Scott; Robert D. Nowak (IEEE Trans. Signal Process., 2004)

Robust decentralized source localization via averaging. - Michael G. Rabbat; Robert D. Nowak; James A. Bucklew (ICASSP (5), 2005)

Level set estimation via trees [signal processing applications]. - Rebecca Willett; Robert D. Nowak (ICASSP (5), 2005)

A bound optimization approach to wavelet-based image deconvolution. - Mário A. T. Figueiredo; Robert D. Nowak (ICIP (2), 2005)

Matched source-channel communication for field estimation in wireless sensor networks. - Waheed Uz Zaman Bajwa; Akbar M. Sayeed; Robert D. Nowak (IPSN, 2005)

Faster Rates in Regression via Active Learning. - Rui M. Castro; Rebecca Willett; Robert D. Nowak (NIPS, 2005)

Learning Minimum Volume Sets. - Clayton D. Scott; Robert D. Nowak (NIPS, 2005)

Quantized incremental algorithms for distributed optimization. - Michael G. Rabbat; Robert D. Nowak (IEEE J. Sel. Areas Commun., 2005)

A Neyman-Pearson approach to statistical learning. - Clayton D. Scott; Robert D. Nowak (IEEE Trans. Inf. Theory, 2005)

Compressed sensing in noisy imaging environments. - Jarvis D. Haupt; Rui M. Castro; Robert D. Nowak (Computational Imaging, 2006)

A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles. - Waheed Uz Zaman Bajwa; Jarvis D. Haupt; Akbar M. Sayeed; Robert D. Nowak (ICASSP (5), 2006)

Compressed Sensing Vs. Active Learning. - Rui M. Castro; Jarvis D. Haupt; Robert D. Nowak (ICASSP (3), 2006)

On the Performance of Round Trip Time Network Tomography. - Yolanda Tsang; Mehmet Can Yildiz; Paul Barford; Robert D. Nowak (ICC, 2006)

Maximum Likelihood Methods for Time-Resolved Imaging Through Turbid Media. - Brian Eriksson; Robert D. Nowak (ICIP, 2006)

On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising. - Mário A. T. Figueiredo; José M. Bioucas-Dias; João Pedro Oliveira 001; Robert D. Nowak (ICIP, 2006)

Compressive Sampling Vs. Conventional Imaging. - Jarvis D. Haupt; Robert D. Nowak (ICIP, 2006)

Compressive wireless sensing. - Waheed Uz Zaman Bajwa; Jarvis D. Haupt; Akbar M. Sayeed; Robert D. Nowak (IPSN, 2006)

Decentralized compression and predistribution via randomized gossiping. - Michael G. Rabbat; Jarvis D. Haupt; Aarti Singh; Robert D. Nowak (IPSN, 2006)

Active learning for adaptive mobile sensing networks. - Aarti Singh; Robert D. Nowak; Parameswaran Ramanathan (IPSN, 2006)

Inferring Network Structure from Co-Occurrences. - Michael G. Rabbat; Mário A. T. Figueiredo; Robert D. Nowak (NIPS, 2006)

Multiple-Source Internet Tomography. - Michael G. Rabbat; Mark Coates; Robert D. Nowak (IEEE J. Sel. Areas Commun., 2006)

Robust Contour Matching Via the Order-Preserving Assignment Problem. - Clayton D. Scott; Robert D. Nowak (IEEE Trans. Image Process., 2006)

Signal Reconstruction From Noisy Random Projections. - Jarvis D. Haupt; Robert D. Nowak (IEEE Trans. Inf. Theory, 2006)

Minimax-optimal classification with dyadic decision trees. - Clayton D. Scott; Robert D. Nowak (IEEE Trans. Inf. Theory, 2006)

Minimax Bounds for Active Learning. - Rui M. Castro; Robert D. Nowak (COLT, 2007)

Compressive Sampling for Signal Detection. - Jarvis D. Haupt; Robert D. Nowak (ICASSP (3), 2007)

Genomic Network Tomography. - Michael G. Rabbat; Mário A. T. Figueiredo; Robert D. Nowak (ICASSP (1), 2007)

Learning network structure from passive measurements. - Brian Eriksson; Paul Barford; Robert D. Nowak; Mark Crovella (Internet Measurement Conference, 2007)

Blind calibration of sensor networks. - Laura Balzano; Robert D. Nowak (IPSN, 2007)

Space-Time Sparsity Regularization for the Magnetoencephalography Inverse Problem. - Andrew K. Bolstad; Barry D. Van Veen; Robert D. Nowak (ISBI, 2007)

A Decision-Theoretic Approach to Transillumination Imaging in Biological Mediums. - Brian Eriksson; Robert D. Nowak (ISBI, 2007)

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems. - Mário A. T. Figueiredo; Robert D. Nowak; Stephen J. Wright 001 (J. Sel. Topics Signal Processing, 2007)

Majorization-Minimization Algorithms for Wavelet-Based Image Restoration. - Mário A. T. Figueiredo; José M. Bioucas-Dias; Robert D. Nowak (IEEE Trans. Image Process., 2007)

Minimax Optimal Level-Set Estimation. - Rebecca Willett; Robert D. Nowak (IEEE Trans. Image Process., 2007)

Joint Source-Channel Communication for Distributed Estimation in Sensor Networks. - Waheed Uz Zaman Bajwa; Jarvis D. Haupt; Akbar M. Sayeed; Robert D. Nowak (IEEE Trans. Inf. Theory, 2007)

Multiscale Poisson Intensity and Density Estimation. - Rebecca Willett; Robert D. Nowak (IEEE Trans. Inf. Theory, 2007)

Learning Bigrams from Unigrams. - Xiaojin Zhu 001; Andrew B. Goldberg; Michael G. Rabbat; Robert D. Nowak (ACL, 2008)

Compressed sensing of wireless channels in time, frequency, and space. - Waheed U. Bajwa; Akbar M. Sayeed; Robert D. Nowak (ACSCC, 2008)

Adaptive discovery of sparse signals in noise. - Jarvis D. Haupt; Rui M. Castro; Robert D. Nowak (ACSCC, 2008)

Learning sparse doubly-selective channels. - Waheed U. Bajwa; Akbar M. Sayeed; Robert Nowak 001 (Allerton, 2008)

Generalized binary search. - Robert Nowak 001 (Allerton, 2008)

Compressed channel sensing. - Waheed Uz Zaman Bajwa; Jarvis D. Haupt; Gil M. Raz; Robert D. Nowak (CISS, 2008)

Adaptive Hausdorff Estimation of Density Level Sets. - Aarti Singh; Robert D. Nowak; Clayton D. Scott (COLT, 2008)

Finding needles in noisy haystacks. - Rui M. Castro; Jarvis D. Haupt; Robert D. Nowak; Gil M. Raz (ICASSP, 2008)

Learning to satisfy. - Frederic Thouin; Mark Coates; Brian Eriksson; Robert D. Nowak; Clayton D. Scott (ICASSP, 2008)

Sparse reconstruction by separable approximation. - Stephen J. Wright 001; Robert D. Nowak; Mário A. T. Figueiredo (ICASSP, 2008)

Controlling the error in FMRI: Hypothesis testing or set estimation? - Zachary T. Harmany; Rebecca Willett; Aarti Singh; Robert D. Nowak (ISBI, 2008)

Human Active Learning. - Rui M. Castro; Charles Kalish; Robert D. Nowak; Ruichen Qian; Timothy T. Rogers; Xiaojin Zhu 001 (NIPS, 2008)

Unlabeled data: Now it helps, now it doesn't. - Aarti Singh; Robert D. Nowak; Xiaojin Zhu 001 (NIPS, 2008)

Network discovery from passive measurements. - Brian Eriksson; Paul Barford; Robert D. Nowak (SIGCOMM, 2008)

Compressive Sampling [From the Guest Editors]. - Richard G. Baraniuk; Emmanuel J. Candès; Robert D. Nowak; Martin Vetterli (IEEE Signal Process. Mag., 2008)

Compressed Sensing for Networked Data. - Jarvis D. Haupt; Waheed U. Bajwa; Michael G. Rabbat; Robert D. Nowak (IEEE Signal Process. Mag., 2008)

Network Inference From Co-Occurrences. - Michael G. Rabbat; Mário A. T. Figueiredo; Robert D. Nowak (IEEE Trans. Inf. Theory, 2008)

A restricted isometry property for structurally-subsampled unitary matrices. - Waheed U. Bajwa; Akbar M. Sayeed; Robert Nowak 001 (Allerton, 2009)

Estimating Hop Distance Between Arbitrary Host Pairs. - Brian Eriksson; Paul Barford; Robert D. Nowak (INFOCOM, 2009)

Image Reconstruction of Multiphoton Microscopy Data. - Jared Doot; Kevin W. Eliceiri; Robert D. Nowak; Rebecca Willett (ISBI, 2009)

Noisy Generalized Binary Search. - Robert D. Nowak (NIPS, 2009)

Multi-Manifold Semi-Supervised Learning. - Andrew B. Goldberg; Xiaojin Zhu 001; Aarti Singh; Zhiting Xu 001; Robert D. Nowak (AISTATS, 2009)

Distilled sensing: selective sampling for sparse signal recovery. - Jarvis D. Haupt; Rui M. Castro; Robert D. Nowak (AISTATS, 2009)

Space-time event sparse penalization for magneto-/electroencephalography. - Andrew K. Bolstad; Barry D. Van Veen; Robert D. Nowak (NeuroImage, 2009)

Online identification and tracking of subspaces from highly incomplete information. - Laura Balzano; Robert Nowak 001; Benjamin Recht (Allerton, 2010)

Sparse interactions: Identifying high-dimensional multilinear systems via compressed sensing. - Bobak Nazer; Robert D. Nowak (Allerton, 2010)

On the Restricted Isometry of deterministically subsampled Fourier matrices. - Jarvis D. Haupt; Lorne Applebaum; Robert D. Nowak (CISS, 2010)

Efficient designs for multiple gene knockdown experiments. - Bobak Nazer; Robert D. Nowak (GENSiPS, 2010)

Toward the Practical Use of Network Tomography for Internet Topology Discovery. - Brian Eriksson; Gautam Dasarathy; Paul Barford; Robert D. Nowak (INFOCOM, 2010)

High-dimensional Matched Subspace Detection when data are missing. - Laura Balzano; Benjamin Recht; Robert D. Nowak (ISIT, 2010)

Sample complexity for 1-bit compressed sensing and sparse classification. - Ankit Gupta 003; Robert D. Nowak; Benjamin Recht (ISIT, 2010)

Improved bounds for sparse recovery from adaptive measurements. - Jarvis D. Haupt; Rui M. Castro; Robert D. Nowak (ISIT, 2010)

Transduction with Matrix Completion: Three Birds with One Stone. - Andrew B. Goldberg; Xiaojin Zhu 001; Ben Recht; Jun-Ming Xu 002; Robert D. Nowak (NIPS, 2010)

A Learning-Based Approach for IP Geolocation. - Brian Eriksson; Paul Barford; Joel Sommers; Robert D. Nowak (PAM, 2010)

Detecting Weak but Hierarchically-Structured Patterns in Networks. - Aarti Singh; Robert D. Nowak; A. Robert Calderbank (AISTATS, 2010)

Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels. - Waheed Uz Zaman Bajwa; Jarvis D. Haupt; Akbar M. Sayeed; Robert D. Nowak (Proc. IEEE, 2010)

Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation. - Jarvis D. Haupt; Waheed Uz Zaman Bajwa; Gil M. Raz; Robert D. Nowak (IEEE Trans. Inf. Theory, 2010)

On the limits of sequential testing in high dimensions. - Matthew Malloy; Robert D. Nowak (ACSCC, 2011)

Low-dimensional embedding using adaptively selected ordinal data. - Kevin G. Jamieson; Robert D. Nowak (Allerton, 2011)

Automatic adaptation in classification algorithms fusing data from heterogeneous sensors. - Robert D. Nowak; Jacek Misiurewicz; Rafal Biedrzycki (FUSION, 2011)

On the success of network inference using a markov routing model. - Laura Balzano; Robert D. Nowak; Matthew Roughan (ICASSP, 2011)

Deterministic pilot sequences for sparse channel estimation in OFDM systems. - Lorne Applebaum; Waheed U. Bajwa; A. Robert Calderbank; Jarvis D. Haupt; Robert Nowak 001 (DSP, 2011)

Convex approaches to model wavelet sparsity patterns. - Nikhil S. Rao; Robert D. Nowak; Stephen J. Wright 001; Nick G. Kingsbury (ICIP, 2011)

DomainImpute: Inferring unseen components in the Internet. - Brian Eriksson; Paul Barford; Joel Sommers; Robert D. Nowak (INFOCOM, 2011)

Sequential analysis in high-dimensional multiple testing and sparse recovery. - Matthew Malloy; Robert D. Nowak (ISIT, 2011)

Active Ranking using Pairwise Comparisons. - Kevin G. Jamieson; Robert D. Nowak (NIPS, 2011)

Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals. - Nikhil Rao 001; Benjamin Recht; Robert D. Nowak (CoRR, 2011)

High-Rank Matrix Completion and Subspace Clustering with Missing Data - Brian Eriksson; Laura Balzano; Robert D. Nowak (CoRR, 2011)

Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities. - Brian Eriksson; Gautam Dasarathy; Aarti Singh; Robert D. Nowak (AISTATS, 2011)

Inferring Unseen Components of the Internet Core. - Brian Eriksson; Paul Barford; Joel Sommers; Robert D. Nowak (IEEE J. Sel. Areas Commun., 2011)

Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing. - Jean-Luc Starck; Jalal Fadili; Michael Elad; Robert D. Nowak; Panagiotis Tsakalides (IEEE J. Sel. Top. Signal Process., 2011)

Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. - Jarvis D. Haupt; Rui M. Castro; Robert D. Nowak (IEEE Trans. Inf. Theory, 2011)

The Geometry of Generalized Binary Search. - Robert D. Nowak (IEEE Trans. Inf. Theory, 2011)

Causal Network Inference Via Group Sparse Regularization. - Andrew K. Bolstad; Barry D. Van Veen; Robert D. Nowak (IEEE Trans. Signal Process., 2011)

Adaptive sensing for sparse recovery. - Jarvis D. Haupt; Robert D. Nowak (Compressed Sensing, 2012)

Near-optimal adaptive Compressed Sensing. - Matthew L. Malloy; Robert D. Nowak (ACSCC, 2012)

Covariance sketching. - Gautam Dasarathy; Parikshit Shah; Badri Narayan Bhaskar; Robert D. Nowak (Allerton Conference, 2012)

Quickest search for a rare distribution. - Matthew Malloy; Gongguo Tang; Robert D. Nowak (CISS, 2012)

Correlated gaussian designs for compressive imaging. - Nikhil S. Rao; Robert D. Nowak (ICIP, 2012)

Passive learning of the interference graph of a wireless network. - Jing Yang 002; Stark C. Draper; Robert D. Nowak (ISIT, 2012)

Query Complexity of Derivative-Free Optimization. - Kevin G. Jamieson; Robert D. Nowak; Benjamin Recht (NIPS, 2012)

Socioscope: Spatio-temporal Signal Recovery from Social Media. - Jun-Ming Xu 002; Aniruddha Bhargava; Robert D. Nowak; Xiaojin Zhu 001 (ECML/PKDD (2), 2012)

K-subspaces with missing data. - Laura Balzano; Arthur Szlam; Benjamin Recht; Robert D. Nowak (SSP, 2012)

Sequentially designed compressed sensing. - Jarvis D. Haupt; Richard G. Baraniuk; Rui M. Castro; Robert D. Nowak (SSP, 2012)

Near-Optimal Compressive Binary Search - Matthew Malloy; Robert D. Nowak (CoRR, 2012)

Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media - Jun-Ming Xu 002; Aniruddha Bhargava; Robert D. Nowak; Xiaojin Zhu 001 (CoRR, 2012)

High-Rank Matrix Completion. - Brian Eriksson; Laura Balzano; Robert D. Nowak (AISTATS, 2012)

Universal Measurement Bounds for Structured Sparse Signal Recovery. - Nikhil Rao 001; Ben Recht; Robert D. Nowak (AISTATS, 2012)

Posit: a lightweight approach for IP geolocation. - Brian Eriksson; Paul Barford; Bruce M. Maggs; Robert D. Nowak (SIGMETRICS Perform. Evaluation Rev., 2012)

Cross Validation for Selection of Cortical Interaction Models From Scalp EEG or MEG. - Bing Leung Patrick Cheung; Robert D. Nowak; Hyong Chol Lee; Wim van Drongelen; Barry D. Van Veen (IEEE Trans. Biomed. Eng., 2012)

Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities. - Jiantao Jiao; Lin Zhang 001; Robert D. Nowak (IEEE Trans. Inf. Theory, 2012)

Efficient Network Tomography for Internet Topology Discovery. - Brian Eriksson; Gautam Dasarathy; Paul Barford; Robert D. Nowak (IEEE/ACM Trans. Netw., 2012)

Technical program overview. - Charles A. Bouman; Robert D. Nowak; Anna Scaglione (GlobalSIP, 2013)

A greedy forward-backward algorithm for atomic norm constrained minimization. - Nikhil Rao 001; Parikshit Shah; Stephen J. Wright 001; Robert D. Nowak (ICASSP, 2013)

Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract). - Jun-Ming Xu 002; Aniruddha Bhargava; Robert D. Nowak; Xiaojin Zhu 001 (IJCAI, 2013)

Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis. - Nikhil S. Rao; Christopher R. Cox; Robert D. Nowak; Timothy T. Rogers (NIPS, 2013)

On Finding the Largest Mean Among Many. - Kevin G. Jamieson; Matthew Malloy; Robert D. Nowak; Sébastien Bubeck (CoRR, 2013)

Sketching Sparse Matrices - Gautam Dasarathy; Parikshit Shah; Badri Narayan Bhaskar; Robert D. Nowak (CoRR, 2013)

Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. - Venkatesh Saligrama; Ery Arias-Castro; Rama Chellappa; Alfred O. Hero III; Robert D. Nowak; Venugopal V. Veeravalli (IEEE J. Sel. Top. Signal Process., 2013)

The Sample Complexity of Search Over Multiple Populations. - Matthew Malloy; Gongguo Tang; Robert D. Nowak (IEEE Trans. Inf. Theory, 2013)

Active Learning for Undirected Graphical Model Selection. - Divyanshu Vats; Robert D. Nowak; Richard G. Baraniuk (AISTATS, 2014)

Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting. - Kevin G. Jamieson; Robert D. Nowak (CISS, 2014)

lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits. - Kevin G. Jamieson; Matthew Malloy; Robert D. Nowak; Sébastien Bubeck (COLT, 2014)

New sample complexity bounds for phylogenetic inference from multiple loci. - Gautam Dasarathy; Robert D. Nowak; Sébastien Roch (ISIT, 2014)

On the sample complexity of subspace clustering with missing data. - Daniel L. Pimentel-Alarcón; Robert D. Nowak; Laura Balzano (SSP, 2014)

Logistic Regression with Structured Sparsity. - Nikhil S. Rao; Robert D. Nowak; Christopher R. Cox; Timothy T. Rogers (CoRR, 2014)

A junction tree framework for undirected graphical model selection. - Divyanshu Vats; Robert D. Nowak (J. Mach. Learn. Res., 2014)

Sequential Testing for Sparse Recovery. - Matthew L. Malloy; Robert D. Nowak (IEEE Trans. Inf. Theory, 2014)

Sparse Dueling Bandits. - Kevin G. Jamieson; Sumeet Katariya; Atul Deshpande; Robert D. Nowak (AISTATS, 2015)

A characterization of deterministic sampling patterns for low-rank matrix completion. - Daniel L. Pimentel-Alarcón; Nigel Boston; Robert D. Nowak (Allerton, 2015)

Adaptive strategy for restricted-sampling noisy low-rank matrix completion. - Daniel L. Pimentel-Alarcón; Robert D. Nowak (CAMSAP, 2015)

S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. - Gautam Dasarathy; Robert D. Nowak; Xiaojin Zhu 001 (COLT, 2015)

Deterministic conditions for subspace identifiability from incomplete sampling. - Daniel L. Pimentel-Alarcón; Nigel Boston; Robert D. Nowak (ISIT, 2015)

NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning. - Kevin G. Jamieson; Lalit Jain; Chris Fernandez; Nicholas J. Glattard; Robert D. Nowak (NIPS, 2015)

Learning Single Index Models in High Dimensions. - Ravi Ganti; Nikhil Rao 001; Rebecca M. Willett; Robert D. Nowak (CoRR, 2015)

Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method. - Gautam Dasarathy; Robert D. Nowak; Sébastien Roch (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Sketching Sparse Matrices, Covariances, and Graphs via Tensor Products. - Gautam Dasarathy; Parikshit Shah; Badri Narayan Bhaskar; Robert D. Nowak (IEEE Trans. Inf. Theory, 2015)

Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects. - Mário A. T. Figueiredo; Robert D. Nowak (AISTATS, 2016)

Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls. - Kwang-Sung Jun; Kevin G. Jamieson; Robert D. Nowak; Xiaojin Zhu 001 (AISTATS, 2016)

Necessary and sufficient conditions for sketched subspace clustering. - Daniel L. Pimentel-Alarcón; Laura Balzano; Robert D. Nowak (Allerton, 2016)

How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations. - Martina A. Rau; Blake Mason; Robert D. Nowak (EDM, 2016)

Graph-based active learning: A new look at expected error minimization. - Kwang-Sung Jun; Robert D. Nowak (GlobalSIP, 2016)

Anytime Exploration for Multi-armed Bandits using Confidence Information. - Kwang-Sung Jun; Robert D. Nowak (ICML, 2016)

Representational Similarity Learning with Application to Brain Networks. - Urvashi Oswal; Christopher R. Cox; Matthew A. Lambon Ralph; Timothy T. Rogers; Robert D. Nowak (ICML, 2016)

The Information-Theoretic Requirements of Subspace Clustering with Missing Data. - Daniel L. Pimentel-Alarcón; Robert D. Nowak (ICML, 2016)

A converse to low-rank matrix completion. - Daniel L. Pimentel-Alarcón; Robert D. Nowak (ISIT, 2016)

Finite Sample Prediction and Recovery Bounds for Ordinal Embedding. - Lalit Jain; Kevin G. Jamieson; Robert D. Nowak (NIPS, 2016)

Group-sparse subspace clustering with missing data. - Daniel L. Pimentel-Alarcón; Laura Balzano; Roummel F. Marcia; Robert D. Nowak; Rebecca Willett (SSP, 2016)

Bandit Approaches to Preference Learning Problems with Multiple Populations. - Aniruddha Bhargava; Ravi Ganti; Robert D. Nowak (CoRR, 2016)

Corrections to "A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion". - Daniel L. Pimentel-Alarcón; Nigel Boston; Robert D. Nowak (IEEE J. Sel. Top. Signal Process., 2016)

Classification With the Sparse Group Lasso. - Nikhil Rao 001; Robert D. Nowak; Christopher R. Cox; Timothy T. Rogers (IEEE Trans. Signal Process., 2016)

On Learning High Dimensional Structured Single Index Models. - Ravi Ganti; Nikhil Rao 001; Laura Balzano; Rebecca Willett; Robert D. Nowak (AAAI, 2017)

Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications. - Aniruddha Bhargava; Ravi Ganti; Robert D. Nowak (AISTATS, 2017)

Random Consensus Robust PCA. - Daniel L. Pimentel-Alarcón; Robert D. Nowak (AISTATS, 2017)

Low algebraic dimension matrix completion. - Daniel L. Pimentel-Alarcón; Gregory Ongie; Laura Balzano; Rebecca Willett; Robert D. Nowak (Allerton, 2017)

Algebraic Variety Models for High-Rank Matrix Completion. - Greg Ongie; Rebecca Willett; Robert D. Nowak; Laura Balzano (ICML, 2017)

Scalable Generalized Linear Bandits: Online Computation and Hashing. - Kwang-Sung Jun; Aniruddha Bhargava; Robert D. Nowak; Rebecca Willett (NIPS, 2017)

Learning Low-Dimensional Metrics. - Blake Mason; Lalit Jain; Robert D. Nowak (NIPS, 2017)

A KL-LUCB algorithm for Large-Scale Crowdsourcing. - Ervin Tanczos; Robert Nowak 001; Bob Mankoff (NIPS, 2017)

NEXT: A system to easily connect crowdsourcing and adaptive data collection. - Scott Sievert; Daniel Ross; Lalit Jain; Kevin Jamieson 001; Robert Nowak 001; Robert Mankoff (SciPy, 2017)

Coalescent-based species tree estimation: a stochastic Farris transform. - Gautam Dasarathy; Elchanan Mossel; Robert D. Nowak; Sebastien Roch (CoRR, 2017)

Learning the Interference Graph of a Wireless Network. - Jing Yang 002; Stark C. Draper; Robert D. Nowak (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Adaptive Sampling for Coarse Ranking. - Sumeet Katariya; Lalit Jain; Nandana Sengupta; James Evans; Robert Nowak 001 (AISTATS, 2018)

Teacher Improves Learning by Selecting a Training Subset. - Yuzhe Ma; Robert Nowak 001; Philippe Rigollet; Xuezhou Zhang; Xiaojin Zhu 001 (AISTATS, 2018)

Scalable Sparse Subspace Clustering via Ordered Weighted l1 Regression. - Urvashi Oswal; Robert D. Nowak (Allerton, 2018)

For Teaching Perceptual Fluency, Machines Beat Human Experts. - Ayon Sen; Purav Patel; Martina A. Rau; Blake Mason; Robert Nowak 001; Timothy T. Rogers; Jerry Zhu (CogSci, 2018)

Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. - Ayon Sen; Purav Patel; Martina A. Rau; Blake Mason; Robert Nowak 001; Timothy T. Rogers; Xiaojin Zhu 001 (EDM, 2018)

TimeWeaver: Opportunistic One Way Delay Measurement Via NTP. - Ramakrishnan Durairajan; Sathiya Kumaran Mani; Paul Barford; Robert D. Nowak; Joel Sommers (ITC (1), 2018)

Scalable Sparse Subspace Clustering via Ordered Weighted 𝓁1 Regression. - Urvashi Oswal; Robert D. Nowak (CoRR, 2018)

Concentration Inequalities for the Empirical Distribution. - Jay Mardia; Jiantao Jiao; Ervin Tanczos; Robert D. Nowak; Tsachy Weissman (CoRR, 2018)

Maximin Active Learning with Data-Dependent Norms. - Mina Karzand; Robert D. Nowak (Allerton, 2019)

Bilinear Bandits with Low-rank Structure. - Kwang-Sung Jun; Rebecca Willett; Stephen J. Wright 001; Robert D. Nowak (ICML, 2019)

MaxGap Bandit: Adaptive Algorithms for Approximate Ranking. - Sumeet Katariya; Ardhendu Tripathy; Robert D. Nowak (NeurIPS, 2019)

Learning Nearest Neighbor Graphs from Noisy Distance Samples. - Blake Mason; Ardhendu Tripathy; Robert D. Nowak (NeurIPS, 2019)

Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods. - Blake Mason; Martina A. Rau; Robert D. Nowak (Cogn. Sci., 2019)

Active Learning in the Overparameterized and Interpolating Regime. - Mina Karzand; Robert D. Nowak (CoRR, 2019)

Should Adversarial Attacks Use Pixel p-Norm? - Ayon Sen; Xiaojin Zhu 001; Liam Marshall; Robert D. Nowak (CoRR, 2019)

Minimum "Norm" Neural Networks are Splines. - Rahul Parhi; Robert D. Nowak (CoRR, 2019)

Linear Bandits with Feature Feedback. - Urvashi Oswal; Aniruddha Bhargava; Robert Nowak 001 (AAAI, 2020)

Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception. - Ayon Sen; Xiaojin Zhu 001; Erin Marshall; Robert D. Nowak (GameSec, 2020)

Robust Outlier Arm Identification. - Yinglun Zhu; Sumeet Katariya; Robert D. Nowak (ICML, 2020)

Finding All $ epsilon$-Good Arms in Stochastic Bandits. - Blake Mason; Lalit Jain; Ardhendu Tripathy; Robert Nowak 001 (NeurIPS, 2020)

On Regret with Multiple Best Arms. - Yinglun Zhu; Robert Nowak 001 (NeurIPS, 2020)

Optimal Confidence Regions for the Multinomial Parameter. - Matthew L. Malloy; Ardhendu Tripathy; Robert D. Nowak (CoRR, 2020)

Neural Networks, Ridge Splines, and TV Regularization in the Radon Domain. - Rahul Parhi; Robert D. Nowak (CoRR, 2020)

Finding All ε-Good Arms in Stochastic Bandits. - Blake Mason; Lalit Jain; Ardhendu Tripathy; Robert D. Nowak (CoRR, 2020)

Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms. - Subhojyoti Mukherjee; Ardhendu Tripathy; Robert D. Nowak (CoRR, 2020)

MaxiMin Active Learning in Overparameterized Model Classes. - Mina Karzand; Robert D. Nowak (IEEE J. Sel. Areas Inf. Theory, 2020)

The Role of Neural Network Activation Functions. - Rahul Parhi; Robert D. Nowak (IEEE Signal Process. Lett., 2020)

Optimal Confidence Sets for the Multinomial Parameter. - Matthew L. Malloy; Ardhendu Tripathy; Robert D. Nowak (ISIT, 2021)

Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers. - Julian Katz-Samuels; Blake Mason; Kevin G. Jamieson; Robert Nowak 001 (NeurIPS, 2021)

Pure Exploration in Kernel and Neural Bandits. - Yinglun Zhu; Dongruo Zhou; Ruoxi Jiang; Quanquan Gu; Rebecca Willett; Robert Nowak 001 (NeurIPS, 2021)

Nearest neighbor search under uncertainty. - Blake Mason; Ardhendu Tripathy; Robert Nowak 001 (UAI, 2021)

Banach Space Representer Theorems for Neural Networks and Ridge Splines. - Rahul Parhi; Robert D. Nowak (J. Mach. Learn. Res., 2021)

Tensor Methods for Nonlinear Matrix Completion. - Greg Ongie; Daniel L. Pimentel-Alarcón; Laura Balzano; Rebecca Willett; Robert D. Nowak (SIAM J. Math. Data Sci., 2021)

Similarity Search for Efficient Active Learning and Search of Rare Concepts. - Cody Coleman; Edward Chou; Julian Katz-Samuels; Sean Culatana; Peter Bailis; Alexander C. Berg; Robert D. Nowak; Roshan Sumbaly; Matei Zaharia; I. Zeki Yalniz (AAAI, 2022)

Nearly Optimal Algorithms for Level Set Estimation. - Blake Mason; Lalit Jain; Subhojyoti Mukherjee; Romain Camilleri; Kevin G. Jamieson; Robert D. Nowak (AISTATS, 2022)

Chernoff Sampling for Active Testing and Extension to Active Regression. - Subhojyoti Mukherjee; Ardhendu S. Tripathy; Robert D. Nowak (AISTATS, 2022)

Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. - Yinglun Zhu; Julian Katz-Samuels; Robert D. Nowak (AISTATS, 2022)

Pareto Optimal Model Selection in Linear Bandits. - Yinglun Zhu; Robert D. Nowak (AISTATS, 2022)

Learning Preference Distributions From Distance Measurements. - Gokcan Tatli; Robert D. Nowak; Ramya Korlakai Vinayak (Allerton, 2022)

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. - Sen Lin 001; Ming Shi 003; Anish Arora; Raef Bassily; Elisa Bertino; Constantine Caramanis; Kaushik R. Chowdhury; Eylem Ekici; Atilla Eryilmaz; Stratis Ioannidis; Nan Jiang 008; Gauri Joshi; et al. (CIC, 2022)

On Continuous-Domain Inverse Problems with Sparse Superpositions of Decaying Sinusoids as Solutions. - Rahul Parhi; Robert D. Nowak (ICASSP, 2022)

Training OOD Detectors in their Natural Habitats. - Julian Katz-Samuels; Julia B. Nakhleh; Robert D. Nowak; Yixuan Li 001 (ICML, 2022)

GALAXY: Graph-based Active Learning at the Extreme. - Jifan Zhang; Julian Katz-Samuels; Robert D. Nowak (ICML, 2022)

One for All: Simultaneous Metric and Preference Learning over Multiple Users. - Gregory Canal; Blake Mason; Ramya Korlakai Vinayak; Robert Nowak 001 (NeurIPS, 2022)

Active Learning with Neural Networks: Insights from Nonparametric Statistics. - Yinglun Zhu; Robert Nowak 001 (NeurIPS, 2022)

Efficient Active Learning with Abstention. - Yinglun Zhu; Robert Nowak 001 (NeurIPS, 2022)

ReVar: Strengthening policy evaluation via reduced variance sampling. - Subhojyoti Mukherjee; Josiah P. Hanna; Robert D. Nowak (UAI, 2022)

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets. - Liu Yang 001; Jifan Zhang; Joseph Shenouda; Dimitris S. Papailiopoulos; Kangwook Lee 001; Robert D. Nowak (CoRR, 2022)

What Kinds of Functions Do Deep Neural Networks Learn? Insights from Variational Spline Theory. - Rahul Parhi; Robert D. Nowak (SIAM J. Math. Data Sci., 2022)

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. - Haoyue Bai 001; Gregory Canal; Xuefeng Du; Jeongyeol Kwon; Robert D. Nowak; Yixuan Li 001 (ICML, 2023)

A Fully First-Order Method for Stochastic Bilevel Optimization. - Jeongyeol Kwon; Dohyun Kwon 002; Stephen Wright; Robert D. Nowak (ICML, 2023)

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. - Subhojyoti Mukherjee; Qiaomin Xie; Josiah Hanna; Robert D. Nowak (NeurIPS, 2023)

Algorithm Selection for Deep Active Learning with Imbalanced Datasets. - Jifan Zhang; Shuai Shao; Saurabh Verma; Robert D. Nowak (NeurIPS, 2023)

Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization. - Joseph Shenouda; Rahul Parhi; Kangwook Lee 001; Robert D. Nowak (CoRR, 2023)

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. - Jifan Zhang; Yifang Chen 001; Gregory Canal; Stephen Mussmann; Yinglun Zhu; Simon Shaolei Du; Kevin G. Jamieson; Robert D. Nowak (CoRR, 2023)

Weighted variation spaces and approximation by shallow ReLU networks. - Ronald A. DeVore; Robert D. Nowak; Rahul Parhi; Jonathan W. Siegel (CoRR, 2023)

On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation. - Jeongyeol Kwon; Dohyun Kwon 002; Steve Wright; Robert D. Nowak (CoRR, 2023)

DIRECT: Deep Active Learning under Imbalance and Label Noise. - Shyam Nuggehalli; Jifan Zhang; Lalit Jain; Robert D. Nowak (CoRR, 2023)

Editorial Special Issue on Causality: Fundamental Limits and Applications. - Negar Kiyavash; Elias Bareinboim; Todd P. Coleman; Alex Dimakis; Bernhard Schlkopf; Peter Spirtes; Kun Zhang 001; Robert Nowak 001 (IEEE J. Sel. Areas Inf. Theory, 2023)

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks. - Rahul Parhi; Robert D. Nowak (IEEE Trans. Inf. Theory, 2023)

Efficiently Learning Relative Similarity Embeddings with Crowdsourcing. - Scott Sievert; Robert D. Nowak; Timothy T. Rogers (J. Open Source Softw., 2023)

Deep Learning Meets Sparse Regularization: A signal processing perspective. - Rahul Parhi; Robert D. Nowak (IEEE Signal Process. Mag., 2023)

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. - Gantavya Bhatt; Yifang Chen 001; Arnav Mohanty Das; Jifan Zhang; Sang T. Truong; Stephen Mussmann; Yinglun Zhu; Jeff A. Bilmes; Simon S. Du; Kevin G. Jamieson; Jordan T. Ash; Robert D. Nowak (ACL (Findings), 2024)

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. - Subhojyoti Mukherjee; Qiaomin Xie; Josiah P. Hanna; Robert D. Nowak (AISTATS, 2024)

On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation. - Jeongyeol Kwon; Dohyun Kwon 002; Stephen Wright; Robert D. Nowak (ICLR, 2024)

Looped Transformers are Better at Learning Learning Algorithms. - Liu Yang 001; Kangwook Lee 001; Robert D. Nowak; Dimitris Papailiopoulos (ICLR, 2024)

SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. - Subhojyoti Mukherjee; Josiah P. Hanna; Robert D. Nowak (ICML, 2024)

ReLUs Are Sufficient for Learning Implicit Neural Representations. - Joseph Shenouda; Yamin Zhou; Robert D. Nowak (ICML, 2024)

AHA: Human-Assisted Out-of-Distribution Generalization and Detection. - Haoyue Bai 001; Jifan Zhang; Robert D. Nowak (NeurIPS, 2024)

A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning. - Julia B. Nakhleh; Joseph Shenouda; Robert D. Nowak (NeurIPS, 2024)

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning. - Jifan Zhang; Lalit Jain; Yang Guo; Jiayi Chen; Kuan Lok Zhou; Siddharth Suresh; Andrew Wagenmaker; Scott Sievert; Timothy T. Rogers; Kevin G. Jamieson; Bob Mankoff; Robert Nowak 001 (NeurIPS, 2024)

Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments. - Jeongyeol Kwon; Liu Yang 001; Robert D. Nowak; Josiah Hanna (CoRR, 2024)

Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning. - Subhojyoti Mukherjee; Josiah P. Hanna; Qiaomin Xie; Robert D. Nowak (CoRR, 2024)

SIEVE: General Purpose Data Filtering System Matching GPT-4o Accuracy at 1% the Cost. - Jifan Zhang; Robert D. Nowak (CoRR, 2024)

The Effects of Multi-Task Learning on ReLU Neural Network Functions. - Julia B. Nakhleh; Joseph Shenouda; Robert D. Nowak (CoRR, 2024)

Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression. - Joseph Shenouda; Rahul Parhi; Kangwook Lee 001; Robert D. Nowak (J. Mach. Learn. Res., 2024)

Learning from the Best: Active Learning for Wireless Communications. - Nasim Soltani; Jifan Zhang; Batool Salehi; Debashri Roy; Robert D. Nowak; Kaushik R. Chowdhury (IEEE Wirel. Commun., 2024)

Metric Learning in an RKHS. - Gokcan Tatli; Yi Chen; Blake Mason; Robert D. Nowak; Ramya Korlakai Vinayak (UAI, 2025)

Unifying Generative and Dense Retrieval for Sequential Recommendation. - Liu Yang 001; Fabian Paischer; Kaveh Hassani; Jiacheng Li 003; Shuai Shao; Zhang Gabriel Li; Yun He; Xue Feng; Nima Noorshams; Sem Park; Bo Long; Robert D. Nowak; et al. (Trans. Mach. Learn. Res., 2025)

Deep Active Learning in the Open World. - Tian Xie; Jifan Zhang; Haoyue Bai 001; Robert D. Nowak (Trans. Mach. Learn. Res., 2025)

Task Vectors in In-Context Learning: Emergence, Formation, and Benefit. - Liu Yang 001; Ziqian Lin; Kangwook Lee 001; Dimitris Papailiopoulos; Robert D. Nowak (CoRR, 2025)

Optimal Recovery Meets Minimax Estimation. - Ronald A. DeVore; Robert D. Nowak; Rahul Parhi; Guergana Petrova; Jonathan W. Siegel (CoRR, 2025)

Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs. - Kuan Lok Zhou; Jiayi Chen; Siddharth Suresh; Reuben Narad; Timothy T. Rogers; Lalit Jain; Robert D. Nowak; Bob Mankoff; Jifan Zhang (CoRR, 2025)

Global Minimizers of ℓp-Regularized Objectives Yield the Sparsest ReLU Neural Networks. - Julia B. Nakhleh; Robert D. Nowak (CoRR, 2025)

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds. - Yang Guo; Yutian Tao 001; Yifei Ming; Robert D. Nowak; Yingyu Liang (CoRR, 2025)

Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench. - Reuben Narad; Siddharth Suresh; Jiayi Chen; Pine S. L. Dysart-Bricken; Bob Mankoff; Rob Nowak 001; Jifan Zhang; Lalit Jain (CoRR, 2025)

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs. - Abhinav Arabelly; Jagrut Nemade; Robert D. Nowak; Jifan Zhang (CoRR, 2025)

Estimating the Self-Consistency of LLMs. - Robert Nowak 001 (CoRR, 2025)

IMProofBench: Benchmarking AI on Research-Level Mathematical Proof Generation. - Johannes Schmitt 002; Gergely Bérczi; Jasper Dekoninck; Jeremy Feusi; Tim Gehrunger; Raphael Appenzeller; Jim Bryan; Niklas Canova; Timo de Wolff; Filippo Gaia; Michel van Garrel; Baran Hashemi; et al. (CoRR, 2025)