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Brady Neal
Brady Neal
PhD Student, Mila - Quebec Artificial Intelligence Institute
Verified email at mila.quebec - Homepage
Title
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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
1432018
In search of robust measures of generalization
GK Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ...
Advances in Neural Information Processing Systems 33, 11723-11733, 2020
482020
Introduction to causal inference from a machine learning perspective
B Neal
Course Lecture Notes (draft), 2020
192020
Realcause: Realistic causal inference benchmarking
B Neal, CW Huang, S Raghupathi
arXiv preprint arXiv:2011.15007, 2020
142020
Introduction to Causal Inference
B Neal
132015
On the bias-variance tradeoff: Textbooks need an update
B Neal
arXiv preprint arXiv:1912.08286, 2019
122019
How well does your sampler really work?
R Turner, B Neal
UAI 2018, 2018
52018
In support of over-parametrization in deep reinforcement learning: an empirical study
B Neal, I Mitliagkas
ICML 2019 Workshop on Identifying and Understanding Deep Learning Phenomena, 2019
22019
Empirical Analysis of Model Selection for Heterogenous Causal Effect Estimation
D Mahajan, I Mitliagkas, B Neal, V Syrgkanis
arXiv preprint arXiv:2211.01939, 2022
2022
Learning Generative Models with Locally Disentangled Latent Factors
B Neal, A Lamb, S Ozair, D Hjelm, A Courville, Y Bengio, I Mitliagkas
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Articles 1–10