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Brady Neal
Brady Neal
PhD Student, Mila - Quebec Artificial Intelligence Institute
在 mila.quebec 的电子邮件经过验证 - 首页
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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
2002018
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
822020
Introduction to causal inference
B Neal
Course Lecture Notes (draft), 2020
622020
Realcause: Realistic causal inference benchmarking
B Neal, CW Huang, S Raghupathi
arXiv preprint arXiv:2011.15007, 2020
302020
On the bias-variance tradeoff: Textbooks need an update
B Neal
arXiv preprint arXiv:1912.08286, 2019
252019
Empirical analysis of model selection for heterogenous causal effect estimation
D Mahajan, I Mitliagkas, B Neal, V Syrgkanis
arXiv preprint arXiv:2211.01939, 2022
92022
How well does your sampler really work?
R Turner, B Neal
UAI 2018, 2018
62018
A Modern Take on the Bias-Variance Tradeoff in Neural Networks.[arXiv]
B Neal, S Mittal, A Baratin, V Tantia, M Scicluna, S Lacoste-Julien, ...
arXiv preprint arXiv:1810.08591, 2019
52019
Realcause: Realistic causal inference benchmarking, 2020
B Neal, CW Huang, S Raghupathi
URL https://arxiv. org/abs, 2011
52011
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
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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