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Citations per year
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Cited by
All
Since 2019
Citations
30
30
h-index
3
3
i10-index
1
1
0
10
5
2019
2020
2021
2022
2023
2024
2
4
5
10
4
4
Public access
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Co-authors
Clayton Webster
University of Texas at Austin
Verified email at utexas.edu
Anton Dereventsov
Ophiuchus AI Research
Verified email at ophiuchus.ai
Armenak Petrosyan
ClothingTech LLC
Verified email at clothingtech.com
Hoang Tran
Oak Ridge National Laboratory
Verified email at ornl.gov
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Joseph D. Daws Jr.
Machine Learning Engineer at Lirio AI Research
Verified email at lirio.com -
Homepage
Machine Learning
Applied Mathematics
Articles
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Cited by
Cited by
Year
A polynomial-based approach for architectural design and learning with deep neural networks
J Daws Jr, CG Webster
arXiv preprint arXiv:1905.10457
, 2019
10
2019
Analysis of deep neural networks with quasi-optimal polynomial approximation rates
J Daws, C Webster
arXiv preprint arXiv:1912.02302
, 2019
9
2019
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization
A Dereventsov, CG Webster, J Daws
Proceedings of International Conference on Computational Intelligence: ICCI …
, 2022
7
2022
Offline policy comparison under limited historical agent-environment interactions
A Dereventsov, JD Daws Jr, C Webster
arXiv preprint arXiv:2106.03934
, 2021
2
2021
A Weighted
-Minimization Approach For Wavelet Reconstruction of Signals and Images
J Daws Jr, A Petrosyan, H Tran, CG Webster
arXiv preprint arXiv:1909.07270
, 2019
2
2019
Applications of nonlinear approximation for problems in learning theory and applied mathematics
JD Daws Jr
2020
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