| 2026 | SIGCOMM | Toward WAN-Aware LLM Training Across Heterogeneous, Geo-Distributed Sites. | Ziyue Luo, Jiaxuan Cai, Cedric Le Denmat, Srijith Nair, Fatemeh Nourzad, Rohith Krishnan Sudha, Qinhang Wu, Jifan Zhang, Sungjae Lee, Zhe Li, Peiwen Qiu, Siddharth Shah, Rishabh Sharma, Yinglun Xia, Xue Zheng, Zidong Liu, Bicheng Ying, Kaushik R. Chowdhury, Gauri Joshi, Yingbin Liang, Robert D. Nowak, Srinivasan Parthasarathy, Saurav Prakash, Balaraman Ravindran, Sanjay Shakkottai, Ness B. Shroff, Sundararajan Srinivasan, Haibo Yang, Aylin Yener, Jia Liu |
| 2025 | EMNLP | Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs. | Abhinav Arabelly, Jagrut Nemade, Robert D. Nowak, Jifan Zhang |
| 2025 | EMNLP | 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 K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang |
| 2025 | ICML | Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation. | Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak |
| 2025 | UAI | Metric Learning in an RKHS. | Gokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak |
| 2024 | ACL | An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. | Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak |
| 2024 | AISTATS | SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. | Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak |
| 2024 | ICLR | On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation. | Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak |
| 2024 | ICLR | Looped Transformers are Better at Learning Learning Algorithms. | Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos |
| 2024 | ICML | SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. | Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak |
| 2024 | ICML | ReLUs Are Sufficient for Learning Implicit Neural Representations. | Joseph Shenouda, Yamin Zhou, Robert D. Nowak |
| 2023 | ICML | Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. | Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li |
| 2023 | ICML | A Fully First-Order Method for Stochastic Bilevel Optimization. | Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak |
| 2022 | AAAI | 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 |
| 2022 | AISTATS | Nearly Optimal Algorithms for Level Set Estimation. | Blake Mason, Lalit K. Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert D. Nowak |
| 2022 | AISTATS | Chernoff Sampling for Active Testing and Extension to Active Regression. | Subhojyoti Mukherjee, Ardhendu S. Tripathy, Robert D. Nowak |
| 2022 | AISTATS | Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. | Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak |
| 2022 | AISTATS | Pareto Optimal Model Selection in Linear Bandits. | Yinglun Zhu, Robert D. Nowak |
| 2022 | ICASSP | On Continuous-Domain Inverse Problems with Sparse Superpositions of Decaying Sinusoids as Solutions. | Rahul Parhi, Robert D. Nowak |
| 2022 | ICML | Training OOD Detectors in their Natural Habitats. | Julian Katz-Samuels, Julia B. Nakhleh, Robert D. Nowak, Yixuan Li |
| 2022 | ICML | GALAXY: Graph-based Active Learning at the Extreme. | Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak |
| 2022 | UAI | ReVar: Strengthening policy evaluation via reduced variance sampling. | Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak |
| 2021 | ISIT | Optimal Confidence Sets for the Multinomial Parameter. | Matthew L. Malloy, Ardhendu Tripathy, Robert D. Nowak |
| 2020 | ICML | Robust Outlier Arm Identification. | Yinglun Zhu, Sumeet Katariya, Robert D. Nowak |
| 2019 | ICML | Bilinear Bandits with Low-rank Structure. | Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak |
| 2017 | AAAI | On Learning High Dimensional Structured Single Index Models. | Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak |
| 2017 | AISTATS | Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications. | Aniruddha Bhargava, Ravi Ganti, Robert D. Nowak |
| 2017 | AISTATS | Random Consensus Robust PCA. | Daniel L. Pimentel-Alarcn, Robert D. Nowak |
| 2017 | ICML | Algebraic Variety Models for High-Rank Matrix Completion. | Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano |
| 2016 | AISTATS | Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects. | Mrio A. T. Figueiredo, Robert D. Nowak |
| 2016 | AISTATS | Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls. | Kwang-Sung Jun, Kevin Jamieson, Robert D. Nowak, Xiaojin Zhu |
| 2016 | EDM | How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations. | Martina A. Rau, Blake Mason, Robert D. Nowak |
| 2016 | ICML | Anytime Exploration for Multi-armed Bandits using Confidence Information. | Kwang-Sung Jun, Robert D. Nowak |
| 2016 | ICML | Representational Similarity Learning with Application to Brain Networks. | Urvashi Oswal, Christopher R. Cox, Matthew A. Lambon Ralph, Timothy T. Rogers, Robert D. Nowak |
| 2016 | ICML | The Information-Theoretic Requirements of Subspace Clustering with Missing Data. | Daniel L. Pimentel-Alarcn, Robert D. Nowak |
| 2016 | ISIT | A converse to low-rank matrix completion. | Daniel L. Pimentel-Alarcn, Robert D. Nowak |
| 2015 | AISTATS | Sparse Dueling Bandits. | Kevin Jamieson, Sumeet Katariya, Atul Deshpande, Robert D. Nowak |
| 2015 | COLT | S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. | Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu |
| 2015 | ISIT | Deterministic conditions for subspace identifiability from incomplete sampling. | Daniel L. Pimentel-Alarcn, Nigel Boston, Robert D. Nowak |
| 2014 | AISTATS | Active Learning for Undirected Graphical Model Selection. | Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk |
| 2014 | CISS | Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting. | Kevin Jamieson, Robert D. Nowak |
| 2014 | COLT | lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits. | Kevin Jamieson, Matthew Malloy, Robert D. Nowak, Sbastien Bubeck |
| 2014 | ISIT | New sample complexity bounds for phylogenetic inference from multiple loci. | Gautam Dasarathy, Robert D. Nowak, Sbastien Roch |
| 2013 | ICASSP | A greedy forward-backward algorithm for atomic norm constrained minimization. | Nikhil Rao, Parikshit Shah, Stephen J. Wright, Robert D. Nowak |
| 2013 | IJCAI | Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract). | Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu |
| 2012 | ACSSC | Near-optimal adaptive Compressed Sensing. | Matthew L. Malloy, Robert D. Nowak |
| 2012 | CISS | Quickest search for a rare distribution. | Matthew Malloy, Gongguo Tang, Robert D. Nowak |
| 2012 | ICIP | Correlated gaussian designs for compressive imaging. | Nikhil S. Rao, Robert D. Nowak |
| 2012 | ISIT | Passive learning of the interference graph of a wireless network. | Jing Yang, Stark C. Draper, Robert D. Nowak |
| 2011 | ACSSC | On the limits of sequential testing in high dimensions. | Matthew Malloy, Robert D. Nowak |
| 2011 | FUSION | Automatic adaptation in classification algorithms fusing data from heterogeneous sensors. | Robert D. Nowak, Jacek Misiurewicz, Rafal Biedrzycki |
| 2011 | ICASSP | On the success of network inference using a markov routing model. | Laura Balzano, Robert D. Nowak, Matthew Roughan |
| 2011 | ICIP | Convex approaches to model wavelet sparsity patterns. | Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury |
| 2011 | INFOCOM | DomainImpute: Inferring unseen components in the Internet. | Brian Eriksson, Paul Barford, Joel Sommers, Robert D. Nowak |
| 2011 | ISIT | Sequential analysis in high-dimensional multiple testing and sparse recovery. | Matthew Malloy, Robert D. Nowak |
| 2010 | CISS | On the Restricted Isometry of deterministically subsampled Fourier matrices. | Jarvis D. Haupt, Lorne Applebaum, Robert D. Nowak |
| 2010 | INFOCOM | Toward the Practical Use of Network Tomography for Internet Topology Discovery. | Brian Eriksson, Gautam Dasarathy, Paul Barford, Robert D. Nowak |
| 2010 | ISIT | High-dimensional Matched Subspace Detection when data are missing. | Laura Balzano, Benjamin Recht, Robert D. Nowak |
| 2010 | ISIT | Sample complexity for 1-bit compressed sensing and sparse classification. | Ankit Gupta, Robert D. Nowak, Benjamin Recht |
| 2010 | ISIT | Improved bounds for sparse recovery from adaptive measurements. | Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak |
| 2010 | PAM | A Learning-Based Approach for IP Geolocation. | Brian Eriksson, Paul Barford, Joel Sommers, Robert D. Nowak |
| 2009 | INFOCOM | Estimating Hop Distance Between Arbitrary Host Pairs. | Brian Eriksson, Paul Barford, Robert D. Nowak |
| 2008 | ACL | Learning Bigrams from Unigrams. | Xiaojin Zhu, Andrew B. Goldberg, Michael G. Rabbat, Robert D. Nowak |
| 2008 | ACSSC | Compressed sensing of wireless channels in time, frequency, and space. | Waheed U. Bajwa, Akbar M. Sayeed, Robert D. Nowak |
| 2008 | ACSSC | Adaptive discovery of sparse signals in noise. | Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak |
| 2008 | CISS | Compressed channel sensing. | Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Gil M. Raz, Robert D. Nowak |
| 2008 | COLT | Adaptive Hausdorff Estimation of Density Level Sets. | Aarti Singh, Robert D. Nowak, Clayton D. Scott |
| 2008 | ICASSP | Finding needles in noisy haystacks. | Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak, Gil M. Raz |
| 2008 | ICASSP | Learning to satisfy. | Frederic Thouin, Mark Coates, Brian Eriksson, Robert D. Nowak, Clayton D. Scott |
| 2008 | ICASSP | Sparse reconstruction by separable approximation. | Stephen J. Wright, Robert D. Nowak, Mrio A. T. Figueiredo |
| 2008 | SIGCOMM | Network discovery from passive measurements. | Brian Eriksson, Paul Barford, Robert D. Nowak |
| 2007 | COLT | Minimax Bounds for Active Learning. | Rui M. Castro, Robert D. Nowak |
| 2007 | ICASSP | Compressive Sampling for Signal Detection. | Jarvis D. Haupt, Robert D. Nowak |
| 2007 | ICASSP | Genomic Network Tomography. | Michael G. Rabbat, Mrio A. T. Figueiredo, Robert D. Nowak |
| 2007 | IMC | Learning network structure from passive measurements. | Brian Eriksson, Paul Barford, Robert D. Nowak, Mark Crovella |
| 2006 | ICASSP | A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles. | Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak |
| 2006 | ICASSP | Compressed Sensing Vs. Active Learning. | Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak |
| 2006 | ICIP | Maximum Likelihood Methods for Time-Resolved Imaging Through Turbid Media. | Brian Eriksson, Robert D. Nowak |
| 2006 | ICIP | On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising. | Mrio A. T. Figueiredo, Jos M. Bioucas-Dias, Joo Pedro Oliveira, Robert D. Nowak |
| 2006 | ICIP | Compressive Sampling Vs. Conventional Imaging. | Jarvis D. Haupt, Robert D. Nowak |
| 2005 | ICASSP | Robust decentralized source localization via averaging. | Michael G. Rabbat, Robert D. Nowak, James A. Bucklew |
| 2005 | ICASSP | Level set estimation via trees [signal processing applications]. | Rebecca Willett, Robert D. Nowak |
| 2005 | ICIP | A bound optimization approach to wavelet-based image deconvolution. | Mrio A. T. Figueiredo, Robert D. Nowak |
| 2004 | ICASSP | Coarse-to-fine manifold learning [image processing example]. | Rui M. Castro, Rebecca Willett, Robert D. Nowak |
| 2004 | ICASSP | Decentralized source localization and tracking [wireless sensor networks]. | Michael G. Rabbat, Robert D. Nowak |
| 2004 | IMC | Network radar: tomography from round trip time measurements. | Yolanda Tsang, Mehmet Can Yildiz, Paul Barford, Robert D. Nowak |
| 2004 | INFOCOM | Multiple Source, Multiple Destination Network Tomography. | Michael G. Rabbat, Robert D. Nowak, Mark Coates |
| 2004 | ISIT | Adaptive sampling for wireless sensor networks. | Rebecca M. Willett, Aline Martin, Robert D. Nowak |
| 2004 | ISIT | Complexity-regularized multiresolution density estimation. | Rebecca M. Willett, Robert D. Nowak |
| 2003 | ICASSP | Distributed EM algorithms for density estimation in sensor networks. | Robert D. Nowak |
| 2003 | ICASSP | CORT: classification or regression trees. | Clayton D. Scott, Rebecca M. Willett, Robert D. Nowak |
| 2003 | ICIP | Distributed image compression for sensor networks using correspondence analysis and super-resolution. | Raymond S. Wagner, Robert D. Nowak, Richard G. Baraniuk |
| 2003 | IMC | Merging logical topologies using end-to-end measurements. | Mark Coates, Michael G. Rabbat, Robert D. Nowak |
| 2002 | ICASSP | 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, R. J. Reedstrom, Philip Schniter, Ivan W. Selesnick, Douglas B. Williams, W. L. Wilson |
| 2002 | ICASSP | Wavelet-based adaptive image deconvolution. | Mrio A. T. Figueiredo, Robert D. Nowak |
| 2002 | ICASSP | Nonparametric internet tomography. | Yolanda Tsang, Mark Coates, Robert D. Nowak |
| 2002 | ICASSP | Multiresolution nonparametric intensity and density estimation. | Rebecca M. Willett, Robert D. Nowak |
| 2002 | ICIP | Satellite and aerial image deconvolution using an EM method with complex wavelets. | Andr Jalobeanu, Robert D. Nowak, Josiane Zerubia, Mrio A. T. Figueiredo |
| 2002 | ICIP | Image restoration under wavelet-domain priors: an expectation-maximization approach. | Robert D. Nowak, Mrio A. T. Figueiredo |
| 2002 | ICIP | Platelets for multiscale analysis in photon-limited imaging. | Rebecca Willett, Robert D. Nowak |
| 2002 | SIGMETRICS | Maximum likelihood network topology identification from edge-based unicast measurements. | Mark Coates, Rui M. Castro, Robert D. Nowak, Manik Gadhiok, Ryan King, Yolanda Tsang |
| 2001 | ICASSP | Wavelet-based denoising using hidden Markov models. | Mohammad Jaber Borran, Robert D. Nowak |
| 2001 | ICASSP | Network tomography for internal delay estimation. | Mark Coates, Robert D. Nowak |
| 2001 | ICASSP | Passive network tomography using EM algorithms. | Yolanda Tsang, Mark Coates, Robert D. Nowak |
| 2001 | ICIP | Coding theoretic approach to image segmentation. | Unoma Ndili, Robert D. Nowak, Mrio A. T. Figueiredo |
| 2001 | ICIP | A wavelet-based statistical model for image restoration. | Yi Wan, Robert D. Nowak |
| 2000 | ICASSP | Bayesian multiscale tomographic reconstruction. | Robert D. Nowak, Eric D. Kolaczyk, David S. Lalush, Benjamin M. W. Tsui |
| 2000 | ICASSP | A new Bayesian model averaging framework for wavelet-based signal processing. | Yi Wan, Robert D. Nowak |
| 2000 | ICIP | Model-Based Inverse Halftoning with Wavelet-Vaguelette Deconvolution. | Ramesh Neelamani, Robert D. Nowak, Richard G. Baraniuk |
| 2000 | ICIP | Pattern Extraction and Synthesis Using a Hierarchical Wavelet-Based Framework. | Clayton D. Scott, Robert D. Nowak |
| 2000 | ICIP | A New Multiscale Bayesian Model Averaging Framework for Texture Segmentation. | Yi Wan, Robert D. Nowak |
| 2000 | ICPR | Unsupervised Segmentation of Poisson Data. | Robert D. Nowak, Mrio A. T. Figueiredo |
| 1999 | ICASSP | A Bayesian multiscale framework for Poisson inverse problems. | Robert D. Nowak, Eric D. Kolaczyk |
| 1999 | ICASSP | Improved emission tomography via multiscale sinogram analysis. | Klaus E. Timmermann, Robert D. Nowak, Keith J. Jones |
| 1999 | ICIP | Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria. | Robert D. Nowak, Mrio A. T. Figueiredo |
| 1999 | ICIP | Quasi-Circular Rotation Invariance in Image Denoising. | Yi Wan, Robert D. Nowak |
| 1998 | ICASSP | Adaptive wavelet transforms via lifting. | Roger L. Claypoole Jr., Richard G. Baraniuk, Robert D. Nowak |
| 1998 | ICASSP | Wavelet-vaguelette restoration in photon-limited imaging. | Robert D. Nowak, Michael J. Thul |
| 1998 | ICASSP | Wavelet-domain modeling and estimation of Poisson processes. | Klaus E. Timmermann, Robert D. Nowak |
| 1998 | ICIP | Stationary Wavelet-based Intensity Models for Photon-Limited Imaging. | Robert D. Nowak, Klaus E. Timmermann |
| 1997 | ICASSP | Signal estimation using wavelet-Markov models. | Matthew S. Crouse, Richard G. Baraniuk, Robert D. Nowak |
| 1997 | ICASSP | Wavelet-based transformations for nonlinear signal processing. | Robert D. Nowak, Richard G. Baraniuk |
| 1996 | ICASSP | Low rank estimation of higher order statistics. | Thomas F. Andre, Robert D. Nowak, Barry D. Van Veen |
| 1996 | ICASSP | Volterra filter identification using penalized least squares. | Robert D. Nowak |
| 1995 | ICASSP | Reduced parameter Volterra filters. | Robert D. Nowak, Barry D. Van Veen |
| 1994 | ICASSP | Volterra filtering with spectral constraints. | Robert D. Nowak, Barry D. Van Veen |
| 1993 | ICASSP | Nonlinear system identification with pseudorandom multilevel excitation sequences. | Robert D. Nowak, Barry D. Van Veen |