Brady Neal
Brady Neal
PhD Student, Mila - Quebec Artificial Intelligence Institute
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
A modern take on the bias-variance tradeoff in neural networks
B Neal, S Mittal, A Baratin, V Tantia, M Scicluna, S Lacoste-Julien, ...
arXiv preprint arXiv:1810.08591, 2018
862018
In search of robust measures of generalization
GK Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ...
arXiv preprint arXiv:2010.11924, 2020
222020
RealCause: Realistic Causal Inference Benchmarking
B Neal, CW Huang, S Raghupathi
arXiv preprint arXiv:2011.15007, 2020
72020
Introduction to causal inference from a machine learning perspective
B Neal
Course Lecture Notes (draft), 2020
42020
On the bias-variance tradeoff: textbooks need an update
B Neal
arXiv preprint arXiv:1912.08286, 2019
42019
How well does your sampler really work?
R Turner, B Neal
UAI 2018, 2018
42018
In support of over-parametrization in deep reinforcement learning: an empirical study
B Neal, I Mitliagkas
12019
In Search of Robust Measures of Generalization
G Karolina Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ...
arXiv e-prints, arXiv: 2010.11924, 2020
2020
Learning Generative Models with Locally Disentangled Latent Factors
B Neal, A Lamb, S Ozair, D Hjelm, A Courville, Y Bengio, I Mitliagkas
2018
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