Julius Lauw

According to our database, Julius Lauw authored at least 5 papers between 2019 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity.

Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Trading Bias for Expressivity in Artificial Learning.

George D. Montañez, Daniel Bashir, Julius Lauw

Proceedings of the Agents and Artificial Intelligence, 12th International Conference, 2020

The Bias-Expressivity Trade-off.

Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti, George D. Montañez

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

An Information-Theoretic Perspective on Overfitting and Underfitting.

Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019

The Futility of Bias-Free Learning and Search.

George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019