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Julius Lauw
Julius Lauw
Unknown affiliation
Verified email at g.hmc.edu
Title
Cited by
Cited by
Year
An information-theoretic perspective on overfitting and underfitting
D Bashir, GD Montañez, S Sehra, PS Segura, J Lauw
AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint …, 2020
602020
The futility of bias-free learning and search
GD Montañez, J Hayase, J Lauw, D Macias, A Trikha, J Vendemiatti
Australasian Joint Conference on Artificial Intelligence, 277-288, 2019
142019
The bias-expressivity trade-off
J Lauw, D Macias, A Trikha, J Vendemiatti, GD Montanez
arXiv preprint arXiv:1911.04964, 2019
82019
The labeling distribution matrix (LDM): a tool for estimating machine learning algorithm capacity
PS Segura, J Lauw, D Bashir, K Shah, S Sehra, D Macias, G Montanez
arXiv preprint arXiv:1912.10597, 2019
72019
Trading Bias for Expressivity in Artificial Learning
GD Montañez, D Bashir, J Lauw
Agents and Artificial Intelligence: 12th International Conference, ICAART …, 2021
52021
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Articles 1–5