Robert D Nowak

Robert D Nowak

University of Wisconsin-Madison

H-index: 90

North America-United States

About Robert D Nowak

Robert D Nowak, With an exceptional h-index of 90 and a recent h-index of 48 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of signal processing, machine learning, statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Speed: Experimental design for policy evaluation in linear heteroscedastic bandits

Labelbench: A comprehensive framework for benchmarking adaptive label-efficient learning

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits

Algorithm selection for deep active learning with imbalanced datasets

Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments

Learning from the Best: Active Learning for Wireless Communications

An experimental design framework for label-efficient supervised finetuning of large language models

Direct: Deep active learning under imbalance and label noise

Robert D Nowak Information

University

Position

Nosbusch Professor in Engineering and Wisconsin Institute for Discovery

Citations(all)

39884

Citations(since 2020)

10103

Cited By

34599

hIndex(all)

90

hIndex(since 2020)

48

i10Index(all)

270

i10Index(since 2020)

166

Email

University Profile Page

Google Scholar

Robert D Nowak Skills & Research Interests

signal processing

machine learning

statistics

Top articles of Robert D Nowak

Speed: Experimental design for policy evaluation in linear heteroscedastic bandits

2024/4/18

Labelbench: A comprehensive framework for benchmarking adaptive label-efficient learning

2023/12/22

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits

2023/7/3

Algorithm selection for deep active learning with imbalanced datasets

Advances in Neural Information Processing Systems

2024/2/13

Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments

arXiv preprint arXiv:2402.07102

2024/2/11

Learning from the Best: Active Learning for Wireless Communications

arXiv preprint arXiv:2402.04896

2024/1/23

An experimental design framework for label-efficient supervised finetuning of large language models

arXiv preprint arXiv:2401.06692

2024/1/12

Direct: Deep active learning under imbalance and label noise

arXiv preprint arXiv:2312.09196

2023/12/14

Looped Transformers are Better at Learning Learning Algorithms

arXiv preprint arXiv:2311.12424

2023/11/21

Deep learning meets sparse regularization: A signal processing perspective

IEEE Signal Processing Magazine

2023/9

Rahul Parhi
Rahul Parhi

H-Index: 4

Robert D Nowak
Robert D Nowak

H-Index: 51

On penalty methods for nonconvex bilevel optimization and first-order stochastic approximation

arXiv preprint arXiv:2309.01753

2023/9/4

Weighted variation spaces and approximation by shallow ReLU networks

arXiv preprint arXiv:2307.15772

2023/7/28

Robert D Nowak
Robert D Nowak

H-Index: 51

Rahul Parhi
Rahul Parhi

H-Index: 4

A Continuous Transform for Localized Ridgelets

2023 International Conference on Sampling Theory and Applications (SampTA)

2023/7/10

Rahul Parhi
Rahul Parhi

H-Index: 4

Robert D Nowak
Robert D Nowak

H-Index: 51

Feed two birds with one scone: Exploiting wild data for both out-of-distribution generalization and detection

2023/7/3

A fully first-order method for stochastic bilevel optimization

2023/7/3

Stephen Wright
Stephen Wright

H-Index: 40

Robert D Nowak
Robert D Nowak

H-Index: 51

Vector-valued variation spaces and width bounds for DNNs: Insights on weight decay regularization

arXiv preprint arXiv:2305.16534

2023/5/25

Filtered Iterative Denoising for Linear Inverse Problems

arXiv preprint arXiv:2302.07972

2023/2/15

Robert D Nowak
Robert D Nowak

H-Index: 51

Efficiently learning relative similarity embeddings with crowdsourcing

Journal of open source software

2023/1

Efficient active learning with abstention

Advances in Neural Information Processing Systems

2022/12/6

A better way to decay: Proximal gradient training algorithms for neural nets

2022/11/23

See List of Professors in Robert D Nowak University(University of Wisconsin-Madison)

Co-Authors

academic-engine