Robert D. Nowak

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 113

Top Venues

Publications

Jeongyeol Kwon, Liu Yang, Robert D. Nowak, Josiah Hanna
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments. CoRR (2024)
Subhojyoti Mukherjee, Josiah P. Hanna, Qiaomin Xie, Robert D. Nowak
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning. CoRR (2024)
Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. AISTATS (2024)
Joseph Shenouda, Yamin Zhou, Robert D. Nowak
ReLUs Are Sufficient for Learning Implicit Neural Representations. CoRR (2024)
Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert D. Nowak, Kaushik R. Chowdhury
Learning from the Best: Active Learning for Wireless Communications. CoRR (2024)
Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. CoRR (2024)
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation. ICLR (2024)
Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert D. Nowak, Kaushik R. Chowdhury
Learning from the Best: Active Learning for Wireless Communications. IEEE Wirel. Commun. 31 (4) (2024)
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR (2024)
Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos
Looped Transformers are Better at Learning Learning Algorithms. ICLR (2024)
Gantavya Bhatt, Yifang Chen, 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
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) (2024)
Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. NeurIPS (2023)
Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. CoRR (2023)
Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin G. Jamieson, Robert D. Nowak
LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR (2023)
Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. ICML (2023)
Jeongyeol Kwon, Dohyun Kwon, Steve Wright, Robert D. Nowak
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation. CoRR (2023)
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak
A Fully First-Order Method for Stochastic Bilevel Optimization. CoRR (2023)
Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D. Nowak
Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization. CoRR (2023)
Rahul Parhi, Robert D. Nowak
Deep Learning Meets Sparse Regularization: A signal processing perspective. IEEE Signal Process. Mag. 40 (6) (2023)
Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak
Algorithm Selection for Deep Active Learning with Imbalanced Datasets. CoRR (2023)
Shyam Nuggehalli, Jifan Zhang, Lalit Jain, Robert D. Nowak
DIRECT: Deep Active Learning under Imbalance and Label Noise. CoRR (2023)
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak
A Fully First-Order Method for Stochastic Bilevel Optimization. ICML (2023)
Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos
Looped Transformers are Better at Learning Learning Algorithms. CoRR (2023)
Scott Sievert, Robert D. Nowak, Timothy T. Rogers
Efficiently Learning Relative Similarity Embeddings with Crowdsourcing. J. Open Source Softw. 8 (83) (2023)
Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. CoRR (2023)
Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak
Algorithm Selection for Deep Active Learning with Imbalanced Datasets. NeurIPS (2023)
Rahul Parhi, Robert D. Nowak
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks. IEEE Trans. Inf. Theory 69 (2) (2023)
Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. CoRR (2023)
Rahul Parhi, Robert D. Nowak
Deep Learning Meets Sparse Regularization: A Signal Processing Perspective. CoRR (2023)
Ronald DeVore, Robert D. Nowak, Rahul Parhi, Jonathan W. Siegel
Weighted variation spaces and approximation by shallow ReLU networks. CoRR (2023)
Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin G. Jamieson, Robert D. Nowak
Nearly Optimal Algorithms for Level Set Estimation. AISTATS (2022)
Rahul Parhi, Robert D. Nowak
What Kinds of Functions Do Deep Neural Networks Learn? Insights from Variational Spline Theory. SIAM J. Math. Data Sci. 4 (2) (2022)
Yinglun Zhu, Robert D. Nowak
Efficient Active Learning with Abstention. CoRR (2022)
Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
GALAXY: Graph-based Active Learning at the Extreme. CoRR (2022)
Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz
Similarity Search for Efficient Active Learning and Search of Rare Concepts. AAAI (2022)
Subhojyoti Mukherjee, Ardhendu S. Tripathy, Robert D. Nowak
Chernoff Sampling for Active Testing and Extension to Active Regression. AISTATS (2022)
Gokcan Tatli, Robert D. Nowak, Ramya Korlakai Vinayak
Learning Preference Distributions From Distance Measurements. Allerton (2022)
Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. AISTATS (2022)
Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak
GALAXY: Graph-based Active Learning at the Extreme. ICML (2022)
Yinglun Zhu, Robert D. Nowak
Pareto Optimal Model Selection in Linear Bandits. AISTATS (2022)
Julian Katz-Samuels, Julia B. Nakhleh, Robert D. Nowak, Yixuan Li
Training OOD Detectors in their Natural Habitats. ICML (2022)
Yinglun Zhu, Robert D. Nowak
Active Learning with Neural Networks: Insights from Nonparametric Statistics. CoRR (2022)
Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert D. Nowak
One for All: Simultaneous Metric and Preference Learning over Multiple Users. CoRR (2022)
Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris S. Papailiopoulos, Kangwook Lee, Robert D. Nowak
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets. CoRR (2022)
Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling. CoRR (2022)
Rahul Parhi, Robert D. Nowak
On Continuous-Domain Inverse Problems with Sparse Superpositions of Decaying Sinusoids as Solutions. ICASSP (2022)
Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak
ReVar: Strengthening policy evaluation via reduced variance sampling. UAI (2022)
Greg Ongie, Daniel L. Pimentel-Alarcón, Laura Balzano, Rebecca Willett, Robert D. Nowak
Tensor Methods for Nonlinear Matrix Completion. SIAM J. Math. Data Sci. 3 (1) (2021)
Blake Mason, Ardhendu Tripathy, Robert D. Nowak
Nearest Neighbor Search Under Uncertainty. CoRR (2021)
Rahul Parhi, Robert D. Nowak
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks. CoRR (2021)
Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. CoRR (2021)
Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Robert D. Nowak
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers. CoRR (2021)
Yinglun Zhu, Robert D. Nowak
Pareto Optimal Model Selection in Linear Bandits. CoRR (2021)
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert D. Nowak
Pure Exploration in Kernel and Neural Bandits. CoRR (2021)
Matthew L. Malloy, Ardhendu Tripathy, Robert D. Nowak
Optimal Confidence Sets for the Multinomial Parameter. ISIT (2021)
Rahul Parhi, Robert D. Nowak
Banach Space Representer Theorems for Neural Networks and Ridge Splines. J. Mach. Learn. Res. 22 (2021)
Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit Jain
Nearly Optimal Algorithms for Level Set Estimation. CoRR (2021)
Rahul Parhi, Robert D. Nowak
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory. CoRR (2021)
Yinglun Zhu, Robert D. Nowak
On Regret with Multiple Best Arms. CoRR (2020)
Yinglun Zhu, Sumeet Katariya, Robert D. Nowak
Robust Outlier Arm Identification. ICML (2020)
Ayon Sen, Xiaojin Zhu, Erin Marshall, Robert D. Nowak
Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception. GameSec (2020)
Blake Mason, Lalit Jain, Ardhendu Tripathy, Robert D. Nowak
Finding All ε-Good Arms in Stochastic Bandits. CoRR (2020)
Rahul Parhi, Robert D. Nowak
Neural Networks, Ridge Splines, and TV Regularization in the Radon Domain. CoRR (2020)
Mina Karzand, Robert D. Nowak
MaxiMin Active Learning in Overparameterized Model Classes. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Subhojyoti Mukherjee, Ardhendu Tripathy, Robert D. Nowak
Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms. CoRR (2020)
Matthew L. Malloy, Ardhendu Tripathy, Robert D. Nowak
Optimal Confidence Regions for the Multinomial Parameter. CoRR (2020)
Rahul Parhi, Robert D. Nowak
The Role of Neural Network Activation Functions. IEEE Signal Process. Lett. 27 (2020)
Blake Mason, Ardhendu Tripathy, Robert D. Nowak
Learning Nearest Neighbor Graphs from Noisy Distance Samples. NeurIPS (2019)
Ayon Sen, Xiaojin Zhu, Liam Marshall, Robert D. Nowak
Should Adversarial Attacks Use Pixel p-Norm? CoRR (2019)
Blake Mason, Ardhendu Tripathy, Robert D. Nowak
Learning Nearest Neighbor Graphs from Noisy Distance Samples. CoRR (2019)
Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
Bilinear Bandits with Low-rank Structure. CoRR (2019)
Sumeet Katariya, Ardhendu Tripathy, Robert D. Nowak
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking. NeurIPS (2019)
Urvashi Oswal, Aniruddha Bhargava, Robert D. Nowak
Linear Bandits with Feature Feedback. CoRR (2019)
Sumeet Katariya, Ardhendu Tripathy, Robert D. Nowak
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking. CoRR (2019)
Blake Mason, Martina A. Rau, Robert D. Nowak
Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods. Cogn. Sci. 43 (9) (2019)
Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
Bilinear Bandits with Low-rank Structure. ICML (2019)
Mina Karzand, Robert D. Nowak
Maximin Active Learning with Data-Dependent Norms. Allerton (2019)
Rahul Parhi, Robert D. Nowak
Minimum "Norm" Neural Networks are Splines. CoRR (2019)
Mina Karzand, Robert D. Nowak
Active Learning in the Overparameterized and Interpolating Regime. CoRR (2019)
Urvashi Oswal, Robert D. Nowak
Scalable Sparse Subspace Clustering via Ordered Weighted l1 Regression. Allerton (2018)
Urvashi Oswal, Robert D. Nowak
Regression. CoRR (2018)
Jay Mardia, Jiantao Jiao, Ervin Tanczos, Robert D. Nowak, Tsachy Weissman
Concentration Inequalities for the Empirical Distribution. CoRR (2018)
Ramakrishnan Durairajan, Sathiya Kumaran Mani, Paul Barford, Robert D. Nowak, Joel Sommers
TimeWeaver: Opportunistic One Way Delay Measurement via NTP. CoRR (2018)
Greg Ongie, Laura Balzano, Daniel L. Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak
Tensor Methods for Nonlinear Matrix Completion. CoRR (2018)
Ramakrishnan Durairajan, Sathiya Kumaran Mani, Paul Barford, Robert D. Nowak, Joel Sommers
TimeWeaver: Opportunistic One Way Delay Measurement Via NTP. ITC (1) (2018)
Daniel L. Pimentel-Alarcón, Robert D. Nowak
Random Consensus Robust PCA. AISTATS (2017)
Jing Yang, Stark C. Draper, Robert D. Nowak
Learning the Interference Graph of a Wireless Network. IEEE Trans. Signal Inf. Process. over Networks 3 (3) (2017)
Ravi Ganti, Nikhil S. Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak
On Learning High Dimensional Structured Single Index Models. AAAI (2017)
Blake Mason, Lalit Jain, Robert D. Nowak
Learning Low-Dimensional Metrics. NIPS (2017)
Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano
Algebraic Variety Models for High-Rank Matrix Completion. ICML (2017)
Aniruddha Bhargava, Ravi Ganti, Robert D. Nowak
Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications. AISTATS (2017)
Kwang-Sung Jun, Aniruddha Bhargava, Robert D. Nowak, Rebecca Willett
Scalable Generalized Linear Bandits: Online Computation and Hashing. NIPS (2017)
Kwang-Sung Jun, Aniruddha Bhargava, Robert D. Nowak, Rebecca Willett
Scalable Generalized Linear Bandits: Online Computation and Hashing. CoRR (2017)
Daniel L. Pimentel-Alarcón, Gregory Ongie, Laura Balzano, Rebecca Willett, Robert D. Nowak
Low algebraic dimension matrix completion. Allerton (2017)
Gautam Dasarathy, Elchanan Mossel, Robert D. Nowak, Sebastien Roch
Coalescent-based species tree estimation: a stochastic Farris transform. CoRR (2017)
Daniel L. Pimentel-Alarcón, Nigel Boston, Robert D. Nowak
Corrections to "A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion". IEEE J. Sel. Top. Signal Process. 10 (8) (2016)
Daniel L. Pimentel-Alarcón, Laura Balzano, Robert D. Nowak
Necessary and sufficient conditions for sketched subspace clustering. Allerton (2016)
Daniel L. Pimentel-Alarcón, Robert D. Nowak
A converse to low-rank matrix completion. ISIT (2016)
Daniel L. Pimentel-Alarcón, Robert D. Nowak
The Information-Theoretic Requirements of Subspace Clustering with Missing Data. ICML (2016)
Urvashi Oswal, Christopher R. Cox, Matthew A. Lambon Ralph, Timothy T. Rogers, Robert D. Nowak
Representational Similarity Learning with Application to Brain Networks. ICML (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Robert D. Nowak