Robert D. Nowak

378 papers A* 36A 23B 22C 1Misc 29Journal 181Unranked 85

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compositional Function Spaces for Deep Learning. SIAM Rev. Rahul Parhi, Robert D. Nowak
2025	—	`conf`	Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs. EMNLP (Findings) Kuan Lok Zhou, Jiayi Chen, Siddharth Suresh, Reuben Narad, Timothy T. Rogers, Lalit K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang
2025	J	`jnl`	Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs. CoRR Kuan Lok Zhou, Jiayi Chen, Siddharth Suresh, Reuben Narad, Timothy T. Rogers, Lalit K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang
2025	J	`jnl`	Deep Active Learning in the Open World. Trans. Mach. Learn. Res. Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak
2025	J	`jnl`	Global Minimizers of ℓ CoRR Julia B. Nakhleh, Robert D. Nowak
2025	A*	`conf`	Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation. ICML Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak
2025	A*	`conf`	Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs. EMNLP Abhinav Arabelly, Jagrut Nemade, Robert D. Nowak, Jifan Zhang
2025	J	`jnl`	Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs. CoRR Abhinav Arabelly, Jagrut Nemade, Robert D. Nowak, Jifan Zhang
2025	A	`conf`	Metric Learning in an RKHS. UAI Gokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak
2025	J	`jnl`	Metric Learning in an RKHS. CoRR Gokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak
2025	J	`jnl`	Optimal Recovery Meets Minimax Estimation. CoRR Ronald A. DeVore, Robert D. Nowak, Rahul Parhi, Guergana Petrova, Jonathan W. Siegel
2025	J	`jnl`	Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds. CoRR Yang Guo, Yutian Tao, Yifei Ming, Robert D. Nowak, Yingyu Liang
2025	J	`jnl`	Task Vectors in In-Context Learning: Emergence, Formation, and Benefit. CoRR Liu Yang, Ziqian Lin, Kangwook Lee, Dimitris Papailiopoulos, Robert D. Nowak
2025	J	`jnl`	Unifying Generative and Dense Retrieval for Sequential Recommendation. Trans. Mach. Learn. Res. Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D. Nowak, Xiaoli Gao, Hamid Eghbalzadeh
2024	A*	`conf`	A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning. NeurIPS Julia B. Nakhleh, Joseph Shenouda, Robert D. Nowak
2024	A*	`conf`	AHA: Human-Assisted Out-of-Distribution Generalization and Detection. NeurIPS Haoyue Bai, Jifan Zhang, Robert D. Nowak
2024	—	`conf`	An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) 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	J	`jnl`	An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024	J	`jnl`	Deep Active Learning in the Open World. CoRR Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak
2024	J	`jnl`	Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments. CoRR Jeongyeol Kwon, Liu Yang, Robert D. Nowak, Josiah Hanna
2024	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning. J. Data-centric Mach. Learn. Res. Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2024	J	`jnl`	Learning from the Best: Active Learning for Wireless Communications. CoRR Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert D. Nowak, Kaushik R. Chowdhury
2024	J	`jnl`	Learning from the Best: Active Learning for Wireless Communications. IEEE Wirel. Commun. Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert D. Nowak, Kaushik R. Chowdhury
2024	A*	`conf`	Looped Transformers are Better at Learning Learning Algorithms. ICLR Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos
2024	A*	`conf`	On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation. ICLR Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak
2024	J	`jnl`	Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Qiaomin Xie, Robert D. Nowak
2024	A*	`conf`	ReLUs Are Sufficient for Learning Implicit Neural Representations. ICML Joseph Shenouda, Yamin Zhou, Robert D. Nowak
2024	J	`jnl`	ReLUs Are Sufficient for Learning Implicit Neural Representations. CoRR Joseph Shenouda, Yamin Zhou, Robert D. Nowak
2024	J	`jnl`	SIEVE: General Purpose Data Filtering System Matching GPT-4o Accuracy at 1% the Cost. CoRR Jifan Zhang, Robert D. Nowak
2024	A	`conf`	SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. AISTATS Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
2024	A*	`conf`	SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. ICML Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2024	J	`jnl`	SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2024	J	`jnl`	The Effects of Multi-Task Learning on ReLU Neural Network Functions. CoRR Julia B. Nakhleh, Joseph Shenouda, Robert D. Nowak
2024	J	`jnl`	Unifying Generative and Dense Retrieval for Sequential Recommendation. CoRR Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D. Nowak, Xiaoli Gao, Hamid Eghbalzadeh
2024	J	`jnl`	Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression. J. Mach. Learn. Res. Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D. Nowak
2023	A*	`conf`	A Fully First-Order Method for Stochastic Bilevel Optimization. ICML Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak
2023	J	`jnl`	A Fully First-Order Method for Stochastic Bilevel Optimization. CoRR Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak
2023	A*	`conf`	Algorithm Selection for Deep Active Learning with Imbalanced Datasets. NeurIPS Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak
2023	J	`jnl`	Algorithm Selection for Deep Active Learning with Imbalanced Datasets. CoRR Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak
2023	J	`jnl`	DIRECT: Deep Active Learning under Imbalance and Label Noise. CoRR Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak
2023	J	`jnl`	Deep Learning Meets Sparse Regularization: A Signal Processing Perspective. CoRR Rahul Parhi, Robert D. Nowak
2023	J	`jnl`	Deep Learning Meets Sparse Regularization: A signal processing perspective. IEEE Signal Process. Mag. Rahul Parhi, Robert D. Nowak
2023	J	`jnl`	Efficiently Learning Relative Similarity Embeddings with Crowdsourcing. J. Open Source Softw. Scott Sievert, Robert D. Nowak, Timothy T. Rogers
2023	A*	`conf`	Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. ICML Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li
2023	J	`jnl`	Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. CoRR Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li
2023	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2023	J	`jnl`	Looped Transformers are Better at Learning Learning Algorithms. CoRR Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos
2023	A*	`conf`	Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. NeurIPS Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
2023	J	`jnl`	Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. CoRR Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
2023	J	`jnl`	Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks. IEEE Trans. Inf. Theory Rahul Parhi, Robert D. Nowak
2023	J	`jnl`	On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation. CoRR Jeongyeol Kwon, Dohyun Kwon, Steve Wright, Robert D. Nowak
2023	J	`jnl`	SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. CoRR Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
2023	J	`jnl`	Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization. CoRR Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D. Nowak
2023	J	`jnl`	Weighted variation spaces and approximation by shallow ReLU networks. CoRR Ronald A. DeVore, Robert D. Nowak, Rahul Parhi, Jonathan W. Siegel
2022	J	`jnl`	A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets. CoRR Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris S. Papailiopoulos, Kangwook Lee, Robert D. Nowak
2022	J	`jnl`	Active Learning with Neural Networks: Insights from Nonparametric Statistics. CoRR Yinglun Zhu, Robert D. Nowak
2022	A	`conf`	Chernoff Sampling for Active Testing and Extension to Active Regression. AISTATS Subhojyoti Mukherjee, Ardhendu S. Tripathy, Robert D. Nowak
2022	J	`jnl`	Efficient Active Learning with Abstention. CoRR Yinglun Zhu, Robert D. Nowak
2022	A*	`conf`	GALAXY: Graph-based Active Learning at the Extreme. ICML Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
2022	J	`jnl`	GALAXY: Graph-based Active Learning at the Extreme. CoRR Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
2022	—	`conf`	Learning Preference Distributions From Distance Measurements. Allerton Gokcan Tatli, Robert D. Nowak, Ramya Korlakai Vinayak
2022	A	`conf`	Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. AISTATS Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
2022	A	`conf`	Nearly Optimal Algorithms for Level Set Estimation. AISTATS Blake Mason, Lalit K. Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert D. Nowak
2022	Misc	`conf`	On Continuous-Domain Inverse Problems with Sparse Superpositions of Decaying Sinusoids as Solutions. ICASSP Rahul Parhi, Robert D. Nowak
2022	J	`jnl`	One for All: Simultaneous Metric and Preference Learning over Multiple Users. CoRR Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert D. Nowak
2022	A	`conf`	Pareto Optimal Model Selection in Linear Bandits. AISTATS Yinglun Zhu, Robert D. Nowak
2022	J	`jnl`	ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2022	A	`conf`	ReVar: Strengthening policy evaluation via reduced variance sampling. UAI Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
2022	A*	`conf`	Similarity Search for Efficient Active Learning and Search of Rare Concepts. AAAI 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	A*	`conf`	Training OOD Detectors in their Natural Habitats. ICML Julian Katz-Samuels, Julia B. Nakhleh, Robert D. Nowak, Yixuan Li
2022	J	`jnl`	What Kinds of Functions Do Deep Neural Networks Learn? Insights from Variational Spline Theory. SIAM J. Math. Data Sci. Rahul Parhi, Robert D. Nowak
2021	J	`jnl`	Banach Space Representer Theorems for Neural Networks and Ridge Splines. J. Mach. Learn. Res. Rahul Parhi, Robert D. Nowak
2021	J	`jnl`	Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. CoRR Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
2021	J	`jnl`	Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks. CoRR Rahul Parhi, Robert D. Nowak
2021	J	`jnl`	Nearest Neighbor Search Under Uncertainty. CoRR Blake Mason, Ardhendu Tripathy, Robert D. Nowak
2021	J	`jnl`	Nearly Optimal Algorithms for Level Set Estimation. CoRR Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit K. Jain
2021	B	`conf`	Optimal Confidence Sets for the Multinomial Parameter. ISIT Matthew L. Malloy, Ardhendu Tripathy, Robert D. Nowak
2021	J	`jnl`	Pareto Optimal Model Selection in Linear Bandits. CoRR Yinglun Zhu, Robert D. Nowak
2021	J	`jnl`	Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers. CoRR Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Robert D. Nowak
2021	J	`jnl`	Pure Exploration in Kernel and Neural Bandits. CoRR Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert D. Nowak
2021	J	`jnl`	Tensor Methods for Nonlinear Matrix Completion. SIAM J. Math. Data Sci. Greg Ongie, Daniel L. Pimentel-Alarcón, Laura Balzano, Rebecca Willett, Robert D. Nowak
2021	J	`jnl`	What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory. CoRR Rahul Parhi, Robert D. Nowak
2020	J	`jnl`	Finding All ε-Good Arms in Stochastic Bandits. CoRR Blake Mason, Lalit K. Jain, Ardhendu Tripathy, Robert D. Nowak
2020	J	`jnl`	Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms. CoRR Subhojyoti Mukherjee, Ardhendu Tripathy, Robert D. Nowak
2020	J	`jnl`	MaxiMin Active Learning in Overparameterized Model Classes. IEEE J. Sel. Areas Inf. Theory Mina Karzand, Robert D. Nowak
2020	J	`jnl`	Neural Networks, Ridge Splines, and TV Regularization in the Radon Domain. CoRR Rahul Parhi, Robert D. Nowak
2020	J	`jnl`	On Regret with Multiple Best Arms. CoRR Yinglun Zhu, Robert D. Nowak
2020	J	`jnl`	Optimal Confidence Regions for the Multinomial Parameter. CoRR Matthew L. Malloy, Ardhendu Tripathy, Robert D. Nowak
2020	—	`conf`	Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception. GameSec Ayon Sen, Xiaojin Zhu, Erin Marshall, Robert D. Nowak
2020	A*	`conf`	Robust Outlier Arm Identification. ICML Yinglun Zhu, Sumeet Katariya, Robert D. Nowak
2020	J	`jnl`	The Role of Neural Network Activation Functions. IEEE Signal Process. Lett. Rahul Parhi, Robert D. Nowak
2019	J	`jnl`	Active Learning in the Overparameterized and Interpolating Regime. CoRR Mina Karzand, Robert D. Nowak
2019	A*	`conf`	Bilinear Bandits with Low-rank Structure. ICML Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
2019	J	`jnl`	Bilinear Bandits with Low-rank Structure. CoRR Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
2019	J	`jnl`	Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods. Cogn. Sci. Blake Mason, Martina A. Rau, Robert D. Nowak
2019	A*	`conf`	Learning Nearest Neighbor Graphs from Noisy Distance Samples. NeurIPS Blake Mason, Ardhendu Tripathy, Robert D. Nowak
2019	J	`jnl`	Learning Nearest Neighbor Graphs from Noisy Distance Samples. CoRR Blake Mason, Ardhendu Tripathy, Robert D. Nowak
2019	J	`jnl`	Linear Bandits with Feature Feedback. CoRR Urvashi Oswal, Aniruddha Bhargava, Robert D. Nowak
2019	A*	`conf`	MaxGap Bandit: Adaptive Algorithms for Approximate Ranking. NeurIPS Sumeet Katariya, Ardhendu Tripathy, Robert D. Nowak
2019	J	`jnl`	MaxGap Bandit: Adaptive Algorithms for Approximate Ranking. CoRR Sumeet Katariya, Ardhendu Tripathy, Robert D. Nowak
2019	—	`conf`	Maximin Active Learning with Data-Dependent Norms. Allerton Mina Karzand, Robert D. Nowak
2019	J	`jnl`	Minimum "Norm" Neural Networks are Splines. CoRR Rahul Parhi, Robert D. Nowak
2019	J	`jnl`	Should Adversarial Attacks Use Pixel p-Norm? CoRR Ayon Sen, Xiaojin Zhu, Liam Marshall, Robert D. Nowak
2018	J	`jnl`	Concentration Inequalities for the Empirical Distribution. CoRR Jay Mardia, Jiantao Jiao, Ervin Tanczos, Robert D. Nowak, Tsachy Weissman
2018	—	`conf`	Scalable Sparse Subspace Clustering via Ordered Weighted l1 Regression. Allerton Urvashi Oswal, Robert D. Nowak
2018	J	`jnl`	Scalable Sparse Subspace Clustering via Ordered Weighted 𝓁 CoRR Urvashi Oswal, Robert D. Nowak
2018	J	`jnl`	Tensor Methods for Nonlinear Matrix Completion. CoRR Greg Ongie, Laura Balzano, Daniel L. Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak
2018	—	`conf`	TimeWeaver: Opportunistic One Way Delay Measurement Via NTP. ITC (1) Ramakrishnan Durairajan, Sathiya Kumaran Mani, Paul Barford, Robert D. Nowak, Joel Sommers
2018	J	`jnl`	TimeWeaver: Opportunistic One Way Delay Measurement via NTP. CoRR Ramakrishnan Durairajan, Sathiya Kumaran Mani, Paul Barford, Robert D. Nowak, Joel Sommers
2017	A	`conf`	Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications. AISTATS Aniruddha Bhargava, Ravi Ganti, Robert D. Nowak
2017	A*	`conf`	Algebraic Variety Models for High-Rank Matrix Completion. ICML Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano
2017	J	`jnl`	Coalescent-based species tree estimation: a stochastic Farris transform. CoRR Gautam Dasarathy, Elchanan Mossel, Robert D. Nowak, Sebastien Roch
2017	—	`conf`	Learning Low-Dimensional Metrics. NIPS Blake Mason, Lalit K. Jain, Robert D. Nowak
2017	J	`jnl`	Learning the Interference Graph of a Wireless Network. IEEE Trans. Signal Inf. Process. over Networks Jing Yang, Stark C. Draper, Robert D. Nowak
2017	—	`conf`	Low algebraic dimension matrix completion. Allerton Daniel L. Pimentel-Alarcón, Gregory Ongie, Laura Balzano, Rebecca Willett, Robert D. Nowak
2017	A*	`conf`	On Learning High Dimensional Structured Single Index Models. AAAI Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak
2017	A	`conf`	Random Consensus Robust PCA. AISTATS Daniel L. Pimentel-Alarcón, Robert D. Nowak
2017	—	`conf`	Scalable Generalized Linear Bandits: Online Computation and Hashing. NIPS Kwang-Sung Jun, Aniruddha Bhargava, Robert D. Nowak, Rebecca Willett
2017	J	`jnl`	Scalable Generalized Linear Bandits: Online Computation and Hashing. CoRR Kwang-Sung Jun, Aniruddha Bhargava, Robert D. Nowak, Rebecca Willett
2016	J	`jnl`	A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion. IEEE J. Sel. Top. Signal Process. Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2016	B	`conf`	A converse to low-rank matrix completion. ISIT Daniel L. Pimentel-Alarcón, Robert D. Nowak
2016	A*	`conf`	Anytime Exploration for Multi-armed Bandits using Confidence Information. ICML Kwang-Sung Jun, Robert D. Nowak
2016	J	`jnl`	Bandit Approaches to Preference Learning Problems with Multiple Populations. CoRR Aniruddha Bhargava, Ravi Ganti, Robert D. Nowak
2016	J	`jnl`	Classification With the Sparse Group Lasso. IEEE Trans. Signal Process. Nikhil Rao, Robert D. Nowak, Christopher R. Cox, Timothy T. Rogers
2016	J	`jnl`	Corrections to "A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion". IEEE J. Sel. Top. Signal Process. Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2016	—	`conf`	Finite Sample Prediction and Recovery Bounds for Ordinal Embedding. NIPS Lalit K. Jain, Kevin Jamieson, Robert D. Nowak
2016	J	`jnl`	Finite Sample Prediction and Recovery Bounds for Ordinal Embedding. CoRR Lalit K. Jain, Kevin Jamieson, Robert D. Nowak
2016	J	`jnl`	Graph-Based Active Learning: A New Look at Expected Error Minimization. CoRR Kwang-Sung Jun, Robert D. Nowak
2016	—	`conf`	Graph-based active learning: A new look at expected error minimization. GlobalSIP Kwang-Sung Jun, Robert D. Nowak
2016	—	`conf`	Group-sparse subspace clustering with missing data. SSP Daniel L. Pimentel-Alarcón, Laura Balzano, Roummel F. Marcia, Robert D. Nowak, Rebecca Willett
2016	B	`conf`	How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations. EDM Martina A. Rau, Blake Mason, Robert D. Nowak
2016	—	`conf`	Necessary and sufficient conditions for sketched subspace clustering. Allerton Daniel L. Pimentel-Alarcón, Laura Balzano, Robert D. Nowak
2016	J	`jnl`	On Learning High Dimensional Structured Single Index Models. CoRR Nikhil Rao, Ravi Ganti, Laura Balzano, Rebecca Willett, Robert D. Nowak
2016	A	`conf`	Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects. AISTATS Mário A. T. Figueiredo, Robert D. Nowak
2016	A*	`conf`	Representational Similarity Learning with Application to Brain Networks. ICML Urvashi Oswal, Christopher R. Cox, Matthew A. Lambon Ralph, Timothy T. Rogers, Robert D. Nowak
2016	A*	`conf`	The Information-Theoretic Requirements of Subspace Clustering with Missing Data. ICML Daniel L. Pimentel-Alarcón, Robert D. Nowak
2016	A	`conf`	Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls. AISTATS Kwang-Sung Jun, Kevin Jamieson, Robert D. Nowak, Xiaojin Zhu
2015	J	`jnl`	A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion. CoRR Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2015	—	`conf`	A characterization of deterministic sampling patterns for low-rank matrix completion. Allerton Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2015	—	`conf`	Adaptive strategy for restricted-sampling noisy low-rank matrix completion. CAMSAP Daniel L. Pimentel-Alarcón, Robert D. Nowak
2015	J	`jnl`	Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method. IEEE ACM Trans. Comput. Biol. Bioinform. Gautam Dasarathy, Robert D. Nowak, Sébastien Roch
2015	B	`conf`	Deterministic conditions for subspace identifiability from incomplete sampling. ISIT Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
2015	J	`jnl`	Learning Single Index Models in High Dimensions. CoRR Ravi Ganti, Nikhil Rao, Rebecca M. Willett, Robert D. Nowak
2015	—	`conf`	NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning. NIPS Kevin Jamieson, Lalit K. Jain, Chris Fernandez, Nicholas J. Glattard, Robert D. Nowak
2015	A*	`conf`	S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. COLT Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu
2015	J	`jnl`	S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. CoRR Gautam Dasarathy, Robert D. Nowak, Xiaojin Zhu
2015	J	`jnl`	Sketching Sparse Matrices, Covariances, and Graphs via Tensor Products. IEEE Trans. Inf. Theory Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar, Robert D. Nowak
2015	A	`conf`	Sparse Dueling Bandits. AISTATS Kevin Jamieson, Sumeet Katariya, Atul Deshpande, Robert D. Nowak
2015	J	`jnl`	Sparse Dueling Bandits. CoRR Kevin Jamieson, Sumeet Katariya, Atul Deshpande, Robert D. Nowak
2014	J	`jnl`	A junction tree framework for undirected graphical model selection. J. Mach. Learn. Res. Divyanshu Vats, Robert D. Nowak
2014	A	`conf`	Active Learning for Undirected Graphical Model Selection. AISTATS Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk
2014	J	`jnl`	Active Learning for Undirected Graphical Model Selection. CoRR Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk
2014	Misc	`conf`	Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting. CISS Kevin Jamieson, Robert D. Nowak
2014	J	`jnl`	Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method. CoRR Gautam Dasarathy, Robert D. Nowak, Sebastien Roch
2014	J	`jnl`	Deterministic Conditions for Subspace Identifiability from Incomplete Sampling. CoRR Daniel L. Pimentel-Alarcón, Robert D. Nowak, Nigel Boston
2014	J	`jnl`	Logistic Regression with Structured Sparsity. CoRR Nikhil S. Rao, Robert D. Nowak, Christopher R. Cox, Timothy T. Rogers
2014	J	`jnl`	Near-Optimal Adaptive Compressed Sensing. IEEE Trans. Inf. Theory Matthew L. Malloy, Robert D. Nowak
2014	B	`conf`	New sample complexity bounds for phylogenetic inference from multiple loci. ISIT Gautam Dasarathy, Robert D. Nowak, Sébastien Roch
2014	—	`conf`	On the sample complexity of subspace clustering with missing data. SSP Daniel L. Pimentel-Alarcón, Robert D. Nowak, Laura Balzano
2014	J	`jnl`	Sequential Testing for Sparse Recovery. IEEE Trans. Inf. Theory Matthew L. Malloy, Robert D. Nowak
2014	A*	`conf`	lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits. COLT Kevin Jamieson, Matthew Malloy, Robert D. Nowak, Sébastien Bubeck
2013	J	`jnl`	A Junction Tree Framework for Undirected Graphical Model Selection CoRR Divyanshu Vats, Robert D. Nowak
2013	Misc	`conf`	A greedy forward-backward algorithm for atomic norm constrained minimization. ICASSP Nikhil Rao, Parikshit Shah, Stephen J. Wright, Robert D. Nowak
2013	J	`jnl`	Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. IEEE J. Sel. Top. Signal Process. Venkatesh Saligrama, Ery Arias-Castro, Rama Chellappa, Alfred O. Hero III, Robert D. Nowak, Venugopal V. Veeravalli
2013	J	`jnl`	Near-Optimal Adaptive Compressed Sensing. CoRR Matthew Malloy, Robert D. Nowak
2013	J	`jnl`	On Finding the Largest Mean Among Many. CoRR Kevin Jamieson, Matthew Malloy, Robert D. Nowak, Sébastien Bubeck
2013	J	`jnl`	Sketching Sparse Matrices CoRR Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar, Robert D. Nowak
2013	A*	`conf`	Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract). IJCAI Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu
2013	—	`conf`	Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis. NIPS Nikhil S. Rao, Christopher R. Cox, Robert D. Nowak, Timothy T. Rogers
2013	J	`jnl`	Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis. CoRR Nikhil S. Rao, Christopher R. Cox, Robert D. Nowak, Timothy T. Rogers
2013	—	`conf`	Technical program overview. GlobalSIP Charles A. Bouman, Robert D. Nowak, Anna Scaglione
2013	J	`jnl`	The Sample Complexity of Search Over Multiple Populations. IEEE Trans. Inf. Theory Matthew Malloy, Gongguo Tang, Robert D. Nowak
2013	J	`jnl`	lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits. CoRR Kevin Jamieson, Matthew Malloy, Robert D. Nowak, Sébastien Bubeck
2012	—	`ch.`	Adaptive sensing for sparse recovery. Compressed Sensing Jarvis D. Haupt, Robert D. Nowak
2012	B	`conf`	Correlated gaussian designs for compressive imaging. ICIP Nikhil S. Rao, Robert D. Nowak
2012	—	`conf`	Covariance sketching. Allerton Conference Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar, Robert D. Nowak
2012	J	`jnl`	Cross Validation for Selection of Cortical Interaction Models From Scalp EEG or MEG. IEEE Trans. Biomed. Eng. Bing Leung Patrick Cheung, Robert D. Nowak, Hyong Chol Lee, Wim van Drongelen, Barry D. Van Veen
2012	J	`jnl`	Efficient Network Tomography for Internet Topology Discovery. IEEE/ACM Trans. Netw. Brian Eriksson, Gautam Dasarathy, Paul Barford, Robert D. Nowak
2012	A	`conf`	High-Rank Matrix Completion. AISTATS Brian Eriksson, Laura Balzano, Robert D. Nowak
2012	—	`conf`	K-subspaces with missing data. SSP Laura Balzano, Arthur Szlam, Benjamin Recht, Robert D. Nowak
2012	J	`jnl`	Learning the Interference Graph of a Wireless Network CoRR Jing Yang, Stark C. Draper, Robert D. Nowak
2012	J	`jnl`	Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities. IEEE Trans. Inf. Theory Jiantao Jiao, Lin Zhang, Robert D. Nowak
2012	J	`jnl`	Near-Optimal Compressive Binary Search CoRR Matthew Malloy, Robert D. Nowak
2012	—	`conf`	Near-optimal adaptive Compressed Sensing. ACSCC Matthew L. Malloy, Robert D. Nowak
2012	B	`conf`	Passive learning of the interference graph of a wireless network. ISIT Jing Yang, Stark C. Draper, Robert D. Nowak
2012	J	`jnl`	Posit: a lightweight approach for IP geolocation. SIGMETRICS Perform. Evaluation Rev. Brian Eriksson, Paul Barford, Bruce M. Maggs, Robert D. Nowak
2012	J	`jnl`	Query Complexity of Derivative-Free Optimization CoRR Kevin G. Jamieson, Robert D. Nowak, Benjamin Recht
2012	—	`conf`	Query Complexity of Derivative-Free Optimization. NIPS Kevin G. Jamieson, Robert D. Nowak, Benjamin Recht
2012	Misc	`conf`	Quickest search for a rare distribution. CISS Matthew Malloy, Gongguo Tang, Robert D. Nowak
2012	J	`jnl`	Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media CoRR Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu
2012	J	`jnl`	Sequential Testing for Sparse Recovery CoRR Matthew Malloy, Robert D. Nowak
2012	—	`conf`	Sequentially designed compressed sensing. SSP Jarvis D. Haupt, Richard G. Baraniuk, Rui M. Castro, Robert D. Nowak
2012	—	`conf`	Socioscope: Spatio-temporal Signal Recovery from Social Media. ECML/PKDD (2) Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu
2012	J	`jnl`	The Sample Complexity of Search over Multiple Populations CoRR Matthew Malloy, Gongguo Tang, Robert D. Nowak
2012	A	`conf`	Universal Measurement Bounds for Structured Sparse Signal Recovery. AISTATS Nikhil Rao, Ben Recht, Robert D. Nowak
2011	J	`jnl`	Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities CoRR Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert D. Nowak
2011	A	`conf`	Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities. AISTATS Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert D. Nowak
2011	J	`jnl`	Active Ranking using Pairwise Comparisons CoRR Kevin G. Jamieson, Robert D. Nowak
2011	—	`conf`	Active Ranking using Pairwise Comparisons. NIPS Kevin G. Jamieson, Robert D. Nowak
2011	C	`conf`	Automatic adaptation in classification algorithms fusing data from heterogeneous sensors. FUSION Robert D. Nowak, Jacek Misiurewicz, Rafal Biedrzycki
2011	J	`jnl`	Causal Network Inference Via Group Sparse Regularization. IEEE Trans. Signal Process. Andrew K. Bolstad, Barry D. Van Veen, Robert D. Nowak
2011	J	`jnl`	Convex Approaches to Model Wavelet Sparsity Patterns CoRR Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury
2011	B	`conf`	Convex approaches to model wavelet sparsity patterns. ICIP Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury
2011	J	`jnl`	Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. IEEE Trans. Inf. Theory Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2011	A*	`conf`	DomainImpute: Inferring unseen components in the Internet. INFOCOM Brian Eriksson, Paul Barford, Joel Sommers, Robert D. Nowak
2011	J	`jnl`	High-Rank Matrix Completion and Subspace Clustering with Missing Data CoRR Brian Eriksson, Laura Balzano, Robert D. Nowak
2011	J	`jnl`	Inferring Unseen Components of the Internet Core. IEEE J. Sel. Areas Commun. Brian Eriksson, Paul Barford, Joel Sommers, Robert D. Nowak
2011	J	`jnl`	Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing. IEEE J. Sel. Top. Signal Process. Jean-Luc Starck, Jalal Fadili, Michael Elad, Robert D. Nowak, Panagiotis Tsakalides
2011	—	`conf`	Low-dimensional embedding using adaptively selected ordinal data. Allerton Kevin G. Jamieson, Robert D. Nowak
2011	J	`jnl`	Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities CoRR Jiantao Jiao, Lin Zhang, Robert D. Nowak
2011	J	`jnl`	On the Limits of Sequential Testing in High Dimensions CoRR Matthew Malloy, Robert D. Nowak
2011	—	`conf`	On the limits of sequential testing in high dimensions. ACSCC Matthew Malloy, Robert D. Nowak
2011	Misc	`conf`	On the success of network inference using a markov routing model. ICASSP Laura Balzano, Robert D. Nowak, Matthew Roughan
2011	J	`jnl`	Sequential Analysis in High Dimensional Multiple Testing and Sparse Recovery CoRR Matthew Malloy, Robert D. Nowak
2011	B	`conf`	Sequential analysis in high-dimensional multiple testing and sparse recovery. ISIT Matthew Malloy, Robert D. Nowak
2011	J	`jnl`	The Geometry of Generalized Binary Search. IEEE Trans. Inf. Theory Robert D. Nowak
2011	J	`jnl`	Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals. CoRR Nikhil Rao, Benjamin Recht, Robert D. Nowak
2010	B	`conf`	A Learning-Based Approach for IP Geolocation. PAM Brian Eriksson, Paul Barford, Joel Sommers, Robert D. Nowak
2010	J	`jnl`	Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels. Proc. IEEE Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
2010	J	`jnl`	Detecting Weak but Hierarchically-Structured Patterns in Networks CoRR Aarti Singh, Robert D. Nowak, A. Robert Calderbank
2010	A	`conf`	Detecting Weak but Hierarchically-Structured Patterns in Networks. AISTATS Aarti Singh, Robert D. Nowak, A. Robert Calderbank
2010	J	`jnl`	Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. CoRR Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2010	—	`conf`	Efficient designs for multiple gene knockdown experiments. GENSiPS Bobak Nazer, Robert D. Nowak
2010	J	`jnl`	High-Dimensional Matched Subspace Detection When Data are Missing CoRR Laura Balzano, Benjamin Recht, Robert D. Nowak
2010	B	`conf`	High-dimensional Matched Subspace Detection when data are missing. ISIT Laura Balzano, Benjamin Recht, Robert D. Nowak
2010	B	`conf`	Improved bounds for sparse recovery from adaptive measurements. ISIT Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2010	Misc	`conf`	On the Restricted Isometry of deterministically subsampled Fourier matrices. CISS Jarvis D. Haupt, Lorne Applebaum, Robert D. Nowak
2010	J	`jnl`	Online Identification and Tracking of Subspaces from Highly Incomplete Information CoRR Laura Balzano, Robert D. Nowak, Benjamin Recht
2010	B	`conf`	Sample complexity for 1-bit compressed sensing and sparse classification. ISIT Ankit Gupta, Robert D. Nowak, Benjamin Recht
2010	—	`conf`	Sparse interactions: Identifying high-dimensional multilinear systems via compressed sensing. Allerton Bobak Nazer, Robert D. Nowak
2010	J	`jnl`	Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation. IEEE Trans. Inf. Theory Jarvis D. Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, Robert D. Nowak
2010	A*	`conf`	Toward the Practical Use of Network Tomography for Internet Topology Discovery. INFOCOM Brian Eriksson, Gautam Dasarathy, Paul Barford, Robert D. Nowak
2010	—	`conf`	Transduction with Matrix Completion: Three Birds with One Stone. NIPS Andrew B. Goldberg, Xiaojin Zhu, Ben Recht, Jun-Ming Xu, Robert D. Nowak
2009	A	`conf`	Distilled sensing: selective sampling for sparse signal recovery. AISTATS Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2009	A*	`conf`	Estimating Hop Distance Between Arbitrary Host Pairs. INFOCOM Brian Eriksson, Paul Barford, Robert D. Nowak
2009	—	`conf`	Image Reconstruction of Multiphoton Microscopy Data. ISBI Jared Doot, Kevin W. Eliceiri, Robert D. Nowak, Rebecca Willett
2009	A	`conf`	Multi-Manifold Semi-Supervised Learning. AISTATS Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, Robert D. Nowak
2009	—	`conf`	Noisy Generalized Binary Search. NIPS Robert D. Nowak
2009	J	`jnl`	Space-time event sparse penalization for magneto-/electroencephalography. NeuroImage Andrew K. Bolstad, Barry D. Van Veen, Robert D. Nowak
2009	J	`jnl`	Sparse reconstruction by separable approximation. IEEE Trans. Signal Process. Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo
2009	J	`jnl`	The Geometry of Generalized Binary Search CoRR Robert D. Nowak
2008	A*	`conf`	Adaptive Hausdorff Estimation of Density Level Sets. COLT Aarti Singh, Robert D. Nowak, Clayton D. Scott
2008	—	`conf`	Adaptive discovery of sparse signals in noise. ACSCC Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2008	J	`jnl`	Compressed Sensing for Networked Data. IEEE Signal Process. Mag. Jarvis D. Haupt, Waheed U. Bajwa, Michael G. Rabbat, Robert D. Nowak
2008	Misc	`conf`	Compressed channel sensing. CISS Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Gil M. Raz, Robert D. Nowak
2008	—	`conf`	Compressed sensing of wireless channels in time, frequency, and space. ACSCC Waheed U. Bajwa, Akbar M. Sayeed, Robert D. Nowak
2008	J	`jnl`	Compressive Sampling [From the Guest Editors]. IEEE Signal Process. Mag. Richard G. Baraniuk, Emmanuel J. Candès, Robert D. Nowak, Martin Vetterli
2008	—	`conf`	Controlling the error in FMRI: Hypothesis testing or set estimation? ISBI Zachary T. Harmany, Rebecca Willett, Aarti Singh, Robert D. Nowak
2008	Misc	`conf`	Finding needles in noisy haystacks. ICASSP Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak, Gil M. Raz
2008	—	`conf`	Human Active Learning. NIPS Rui M. Castro, Charles Kalish, Robert D. Nowak, Ruichen Qian, Timothy T. Rogers, Xiaojin Zhu
2008	A*	`conf`	Learning Bigrams from Unigrams. ACL Xiaojin Zhu, Andrew B. Goldberg, Michael G. Rabbat, Robert D. Nowak
2008	Misc	`conf`	Learning to satisfy. ICASSP Frederic Thouin, Mark Coates, Brian Eriksson, Robert D. Nowak, Clayton D. Scott
2008	J	`jnl`	Minimax Bounds for Active Learning. IEEE Trans. Inf. Theory Rui M. Castro, Robert D. Nowak
2008	J	`jnl`	Network Inference From Co-Occurrences. IEEE Trans. Inf. Theory Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
2008	A*	`conf`	Network discovery from passive measurements. SIGCOMM Brian Eriksson, Paul Barford, Robert D. Nowak
2008	Misc	`conf`	Sparse reconstruction by separable approximation. ICASSP Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo
2008	—	`conf`	Unlabeled data: Now it helps, now it doesn't. NIPS Aarti Singh, Robert D. Nowak, Xiaojin Zhu
2007	—	`conf`	A Decision-Theoretic Approach to Transillumination Imaging in Biological Mediums. ISBI Brian Eriksson, Robert D. Nowak
2007	—	`conf`	Blind calibration of sensor networks. IPSN Laura Balzano, Robert D. Nowak
2007	—	`conf`	Compressive Sampling for Signal Detection. ICASSP (3) Jarvis D. Haupt, Robert D. Nowak
2007	—	`conf`	Genomic Network Tomography. ICASSP (1) Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
2007	J	`jnl`	Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems. J. Sel. Topics Signal Processing Mário A. T. Figueiredo, Robert D. Nowak, Stephen J. Wright
2007	J	`jnl`	Joint Source-Channel Communication for Distributed Estimation in Sensor Networks. IEEE Trans. Inf. Theory Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
2007	A	`conf`	Learning network structure from passive measurements. Internet Measurement Conference Brian Eriksson, Paul Barford, Robert D. Nowak, Mark Crovella
2007	J	`jnl`	Majorization-Minimization Algorithms for Wavelet-Based Image Restoration. IEEE Trans. Image Process. Mário A. T. Figueiredo, José M. Bioucas-Dias, Robert D. Nowak
2007	A*	`conf`	Minimax Bounds for Active Learning. COLT Rui M. Castro, Robert D. Nowak
2007	J	`jnl`	Minimax Optimal Level-Set Estimation. IEEE Trans. Image Process. Rebecca Willett, Robert D. Nowak
2007	J	`jnl`	Multiscale Poisson Intensity and Density Estimation. IEEE Trans. Inf. Theory Rebecca Willett, Robert D. Nowak
2007	—	`conf`	Space-Time Sparsity Regularization for the Magnetoencephalography Inverse Problem. ISBI Andrew K. Bolstad, Barry D. Van Veen, Robert D. Nowak
2006	—	`conf`	A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles. ICASSP (5) Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
2006	—	`conf`	Active learning for adaptive mobile sensing networks. IPSN Aarti Singh, Robert D. Nowak, Parameswaran Ramanathan
2006	—	`conf`	Compressed Sensing Vs. Active Learning. ICASSP (3) Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak
2006	—	`conf`	Compressed sensing in noisy imaging environments. Computational Imaging Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2006	B	`conf`	Compressive Sampling Vs. Conventional Imaging. ICIP Jarvis D. Haupt, Robert D. Nowak
2006	—	`conf`	Compressive wireless sensing. IPSN Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
2006	—	`conf`	Decentralized compression and predistribution via randomized gossiping. IPSN Michael G. Rabbat, Jarvis D. Haupt, Aarti Singh, Robert D. Nowak
2006	—	`conf`	Inferring Network Structure from Co-Occurrences. NIPS Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
2006	J	`jnl`	Learning Minimum Volume Sets. J. Mach. Learn. Res. Clayton D. Scott, Robert D. Nowak
2006	B	`conf`	Maximum Likelihood Methods for Time-Resolved Imaging Through Turbid Media. ICIP Brian Eriksson, Robert D. Nowak
2006	J	`jnl`	Minimax-optimal classification with dyadic decision trees. IEEE Trans. Inf. Theory Clayton D. Scott, Robert D. Nowak
2006	J	`jnl`	Multiple-Source Internet Tomography. IEEE J. Sel. Areas Commun. Michael G. Rabbat, Mark Coates, Robert D. Nowak
2006	J	`jnl`	Network Inference from Co-Occurrences CoRR Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
2006	B	`conf`	On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising. ICIP Mário A. T. Figueiredo, José M. Bioucas-Dias, João Pedro Oliveira, Robert D. Nowak
2006	—	`conf`	On the Performance of Round Trip Time Network Tomography. ICC Yolanda Tsang, Mehmet Can Yildiz, Paul Barford, Robert D. Nowak
2006	J	`jnl`	Robust Contour Matching Via the Order-Preserving Assignment Problem. IEEE Trans. Image Process. Clayton D. Scott, Robert D. Nowak
2006	J	`jnl`	Signal Reconstruction From Noisy Random Projections. IEEE Trans. Inf. Theory Jarvis D. Haupt, Robert D. Nowak
2005	J	`jnl`	A Neyman-Pearson approach to statistical learning. IEEE Trans. Inf. Theory Clayton D. Scott, Robert D. Nowak
2005	—	`conf`	A bound optimization approach to wavelet-based image deconvolution. ICIP (2) Mário A. T. Figueiredo, Robert D. Nowak
2005	—	`conf`	Faster Rates in Regression via Active Learning. NIPS Rui M. Castro, Rebecca Willett, Robert D. Nowak
2005	—	`conf`	Learning Minimum Volume Sets. NIPS Clayton D. Scott, Robert D. Nowak
2005	—	`conf`	Level set estimation via trees [signal processing applications]. ICASSP (5) Rebecca Willett, Robert D. Nowak
2005	—	`conf`	Matched source-channel communication for field estimation in wireless sensor networks. IPSN Waheed Uz Zaman Bajwa, Akbar M. Sayeed, Robert D. Nowak
2005	J	`jnl`	Quantized incremental algorithms for distributed optimization. IEEE J. Sel. Areas Commun. Michael G. Rabbat, Robert D. Nowak
2005	—	`conf`	Robust decentralized source localization via averaging. ICASSP (5) Michael G. Rabbat, Robert D. Nowak, James A. Bucklew
2004	B	`conf`	Adaptive sampling for wireless sensor networks. ISIT Rebecca M. Willett, Aline Martin, Robert D. Nowak
2004	—	`conf`	Backcasting: adaptive sampling for sensor networks. IPSN Rebecca Willett, Aline Martin, Robert D. Nowak
2004	—	`conf`	Coarse-to-fine manifold learning [image processing example]. ICASSP (3) Rui M. Castro, Rebecca Willett, Robert D. Nowak
2004	B	`conf`	Complexity-regularized multiresolution density estimation. ISIT Rebecca M. Willett, Robert D. Nowak
2004	—	`conf`	Decentralized source localization and tracking [wireless sensor networks]. ICASSP (3) Michael G. Rabbat, Robert D. Nowak
2004	—	`conf`	Distributed optimization in sensor networks. IPSN Michael G. Rabbat, Robert D. Nowak
2004	J	`jnl`	Estimating inhomogeneous fields using wireless sensor networks. IEEE J. Sel. Areas Commun. Robert D. Nowak, Urbashi Mitra, Rebecca Willett
2004	—	`conf`	Fast Multiresolution Photon-Limited Image Reconstruction. ISBI Rebecca Willett, Robert D. Nowak
2004	—	`conf`	Fast, near-optimal, multiresolution estimation of poisson signals and images. EUSIPCO Rebecca Willett, Robert D. Nowak
2004	J	`jnl`	Guest Editorial: Special Issue on Machine Learning Methods in Signal Processing. IEEE Trans. Signal Process. Meir Feder, Mário A. T. Figueiredo, Alfred O. Hero III, Chin-Hui Lee, Hans-Andrea Loeliger, Robert D. Nowak, Andrew C. Singer, Bin Yu
2004	J	`jnl`	Likelihood based hierarchical clustering. IEEE Trans. Signal Process. Rui M. Castro, Mark Coates, Robert D. Nowak
2004	A*	`conf`	Multiple Source, Multiple Destination Network Tomography. INFOCOM Michael G. Rabbat, Robert D. Nowak, Mark Coates
2004	A	`conf`	Network radar: tomography from round trip time measurements. Internet Measurement Conference Yolanda Tsang, Mehmet Can Yildiz, Paul Barford, Robert D. Nowak
2004	—	`conf`	On the Adaptive Properties of Decision Trees. NIPS Clayton D. Scott, Robert D. Nowak
2004	J	`jnl`	TEMPLAR: a wavelet-based framework for pattern learning and analysis. IEEE Trans. Signal Process. Clayton D. Scott, Robert D. Nowak
2003	J	`jnl`	An EM algorithm for wavelet-based image restoration. IEEE Trans. Image Process. Mário A. T. Figueiredo, Robert D. Nowak
2003	—	`conf`	Boundary Estimation in Sensor Networks: Theory and Methods. IPSN Robert D. Nowak, Urbashi Mitra
2003	—	`conf`	CORT: classification or regression trees. ICASSP (6) Clayton D. Scott, Rebecca M. Willett, Robert D. Nowak
2003	J	`jnl`	Distributed EM algorithms for density estimation and clustering in sensor networks. IEEE Trans. Signal Process. Robert D. Nowak
2003	—	`conf`	Distributed EM algorithms for density estimation in sensor networks. ICASSP (4) Robert D. Nowak
2003	—	`conf`	Distributed image compression for sensor networks using correspondence analysis and super-resolution. ICIP (1) Raymond S. Wagner, Robert D. Nowak, Richard G. Baraniuk
2003	—	`conf`	Likelihood Based Hierarchical Clustering and Network Topology Identification. EMMCVPR Rui M. Castro, Robert D. Nowak
2003	A	`conf`	Merging logical topologies using end-to-end measurements. Internet Measurement Conference Mark Coates, Michael G. Rabbat, Robert D. Nowak
2003	—	`conf`	Near-Minimax Optimal Classification with Dyadic Classification Trees. NIPS Clayton D. Scott, Robert D. Nowak
2003	J	`jnl`	Network delay tomography. IEEE Trans. Signal Process. Yolanda Tsang, Mark Coates, Robert D. Nowak
2003	J	`jnl`	Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon LimitedMedical Imaging. IEEE Trans. Medical Imaging Rebecca Willett, Robert D. Nowak
2002	Misc	`conf`	Connexions: DSP education for a networked world. ICASSP 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	—	`conf`	Dyadic Classification Trees via Structural Risk Minimization. NIPS Clayton D. Scott, Robert D. Nowak
2002	—	`conf`	Image restoration under wavelet-domain priors: an expectation-maximization approach. ICIP (1) Robert D. Nowak, Mário A. T. Figueiredo
2002	J	`jnl`	Internet tomography. IEEE Signal Process. Mag. Mark Coates, Alfred O. Hero III, Robert D. Nowak, Bin Yu
2002	A*	`conf`	Maximum likelihood network topology identification from edge-based unicast measurements. SIGMETRICS Mark Coates, Rui M. Castro, Robert D. Nowak, Manik Gadhiok, Ryan King, Yolanda Tsang
2002	Misc	`conf`	Multiresolution nonparametric intensity and density estimation. ICASSP Rebecca M. Willett, Robert D. Nowak
2002	Misc	`conf`	Nonparametric internet tomography. ICASSP Yolanda Tsang, Mark Coates, Robert D. Nowak
2002	—	`conf`	Platelets for multiscale analysis in photon-limited imaging. ICIP (1) Rebecca Willett, Robert D. Nowak
2002	—	`conf`	Satellite and aerial image deconvolution using an EM method with complex wavelets. ICIP (1) André Jalobeanu, Robert D. Nowak, Josiane Zerubia, Mário A. T. Figueiredo
2002	J	`jnl`	Sequential Monte Carlo inference of internal delays in nonstationary data networks. IEEE Trans. Signal Process. Mark Coates, Robert D. Nowak
2002	Misc	`conf`	Wavelet-based adaptive image deconvolution. ICASSP Mário A. T. Figueiredo, Robert D. Nowak
2001	—	`conf`	A wavelet-based statistical model for image restoration. ICIP (1) Yi Wan, Robert D. Nowak
2001	—	`conf`	Coding theoretic approach to image segmentation. ICIP (3) Unoma Ndili, Robert D. Nowak, Mário A. T. Figueiredo
2001	Misc	`conf`	Network tomography for internal delay estimation. ICASSP Mark Coates, Robert D. Nowak
2001	Misc	`conf`	Passive network tomography using EM algorithms. ICASSP Yolanda Tsang, Mark Coates, Robert D. Nowak
2001	A	`conf`	Processing DNA Tokens in Parallel Computing. IPDPS Robert D. Nowak, Piotr Wasiewicz, Jan J. Mulawka, Andrzej Plucienniczak
2001	Misc	`conf`	Wavelet-based denoising using hidden Markov models. ICASSP Mohammad Jaber Borran, Robert D. Nowak
2001	J	`jnl`	Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior. IEEE Trans. Image Process. Mário A. T. Figueiredo, Robert D. Nowak
2000	B	`conf`	A New Multiscale Bayesian Model Averaging Framework for Texture Segmentation. ICIP Yi Wan, Robert D. Nowak
2000	—	`conf`	A Novel Hierarchical Wavelet-Based Framework for Pattern Analysis and Synthesis. SSIAI Clayton D. Scott, Robert D. Nowak
2000	Misc	`conf`	A new Bayesian model averaging framework for wavelet-based signal processing. ICASSP Yi Wan, Robert D. Nowak
2000	J	`jnl`	A statistical multiscale framework for Poisson inverse problems. IEEE Trans. Inf. Theory Robert D. Nowak, Eric D. Kolaczyk
2000	Misc	`conf`	Bayesian multiscale tomographic reconstruction. ICASSP Robert D. Nowak, Eric D. Kolaczyk, David S. Lalush, Benjamin M. W. Tsui
2000	B	`conf`	Model-Based Inverse Halftoning with Wavelet-Vaguelette Deconvolution. ICIP Ramesh Neelamani, Robert D. Nowak, Richard G. Baraniuk
2000	—	`conf`	Overcomplete Image Representations and Locally Best Model Selection. SSIAI Yi Wan, Robert D. Nowak
2000	B	`conf`	Pattern Extraction and Synthesis Using a Hierarchical Wavelet-Based Framework. ICIP Clayton D. Scott, Robert D. Nowak
2000	—	`conf`	Spectroscopic Imaging Using Terahertz Time-Domain Signals. SSIAI Timothy Dorney, Richard G. Baraniuk, Daniel M. Mittleman, Robert D. Nowak
2000	B	`conf`	Unsupervised Segmentation of Poisson Data. ICPR Robert D. Nowak, Mário A. T. Figueiredo
1999	Misc	`conf`	A Bayesian multiscale framework for Poisson inverse problems. ICASSP Robert D. Nowak, Eric D. Kolaczyk
1999	J	`jnl`	Generalized Likelihood Ratio Detection for Functional MRI Signal Using Complex Data. IEEE Trans. Medical Imaging F. Y. Nan, Robert D. Nowak
1999	Misc	`conf`	Improved emission tomography via multiscale sinogram analysis. ICASSP Klaus E. Timmermann, Robert D. Nowak, Keith J. Jones
1999	J	`jnl`	Multiscale Modeling and Estimation of Poisson Processes with Application to Photon-Limited Imaging. IEEE Trans. Inf. Theory Klaus E. Timmermann, Robert D. Nowak
1999	—	`conf`	Quasi-Circular Rotation Invariance in Image Denoising. ICIP (1) Yi Wan, Robert D. Nowak
1999	—	`conf`	Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria. ICIP (2) Robert D. Nowak, Mário A. T. Figueiredo
1999	J	`jnl`	Wavelet-based Rician noise removal for magnetic resonance imaging. IEEE Trans. Image Process. Robert D. Nowak
1999	J	`jnl`	Wavelet-based transformations for nonlinear signal processing. IEEE Trans. Signal Process. Robert D. Nowak, Richard G. Baraniuk
1999	J	`jnl`	Wavelet-domain filtering for photon imaging systems. IEEE Trans. Image Process. Robert D. Nowak, Richard G. Baraniuk
1998	Misc	`conf`	Adaptive wavelet transforms via lifting. ICASSP Roger L. Claypoole Jr., Richard G. Baraniuk, Robert D. Nowak
1998	J	`jnl`	Adaptive weighted highpass filters using multiscale analysis. IEEE Trans. Image Process. Robert D. Nowak, Richard G. Baraniuk
1998	J	`jnl`	Penalized least squares estimation of Volterra filters and higher order statistics. IEEE Trans. Signal Process. Robert D. Nowak
1998	—	`conf`	Stationary Wavelet-based Intensity Models for Photon-Limited Imaging. ICIP (1) Robert D. Nowak, Klaus E. Timmermann
1998	J	`jnl`	Wavelet-based statistical signal processing using hidden Markov models. IEEE Trans. Signal Process. Matthew S. Crouse, Robert D. Nowak, Richard G. Baraniuk
1998	Misc	`conf`	Wavelet-domain modeling and estimation of Poisson processes. ICASSP Klaus E. Timmermann, Robert D. Nowak
1998	Misc	`conf`	Wavelet-vaguelette restoration in photon-limited imaging. ICASSP Robert D. Nowak, Michael J. Thul
1997	J	`jnl`	Low-rank estimation of higher order statistics. IEEE Trans. Signal Process. Thomas F. Andre, Robert D. Nowak, Barry D. Van Veen
1997	J	`jnl`	Optimal signal estimation using cross-validation. IEEE Signal Process. Lett. Robert D. Nowak
1997	Misc	`conf`	Signal estimation using wavelet-Markov models. ICASSP Matthew S. Crouse, Richard G. Baraniuk, Robert D. Nowak
1997	J	`jnl`	Volterra filter equalization: a fixed point approach. IEEE Trans. Signal Process. Robert D. Nowak, Barry D. Van Veen
1997	Misc	`conf`	Wavelet-based transformations for nonlinear signal processing. ICASSP Robert D. Nowak, Richard G. Baraniuk
1996	Misc	`conf`	Low rank estimation of higher order statistics. ICASSP Thomas F. Andre, Robert D. Nowak, Barry D. Van Veen
1996	J	`jnl`	Tensor product basis approximations for Volterra filters. IEEE Trans. Signal Process. Robert D. Nowak, Barry D. Van Veen
1996	Misc	`conf`	Volterra filter identification using penalized least squares. ICASSP Robert D. Nowak
1995	J	`jnl`	Invertibility of higher order moment matrices. IEEE Trans. Signal Process. Robert D. Nowak, Barry D. Van Veen
1995	Misc	`conf`	Reduced parameter Volterra filters. ICASSP Robert D. Nowak, Barry D. Van Veen
1994	J	`jnl`	Efficient methods for identification of Volterra filter models. Signal Process. Robert D. Nowak, Barry D. Van Veen
1994	J	`jnl`	Random and pseudorandom inputs for Volterra filter identification. IEEE Trans. Signal Process. Robert D. Nowak, Barry D. Van Veen
1994	—	`conf`	Volterra filtering with spectral constraints. ICASSP (4) Robert D. Nowak, Barry D. Van Veen
1993	—	`conf`	Nonlinear system identification with pseudorandom multilevel excitation sequences. ICASSP (4) Robert D. Nowak, Barry D. Van Veen