Brady Neal

According to our database, Brady Neal authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation.

Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Empirical Analysis of Model Selection for Heterogenous Causal Effect Estimation.

Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis

CoRR, 2022

2020

RealCause: Realistic Causal Inference Benchmarking.

Brady Neal, Chin-Wei Huang, Sunand Raghupathi

CoRR, 2020

In search of robust measures of generalization.

Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas, Daniel M. Roy

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

On the Bias-Variance Tradeoff: Textbooks Need an Update.

Brady Neal

CoRR, 2019

2018

A Modern Take on the Bias-Variance Tradeoff in Neural Networks.

Brady Neal, Sarthak Mittal, Aristide Baratin, Vinayak Tantia, Matthew Scicluna, Simon Lacoste-Julien, Ioannis Mitliagkas

CoRR, 2018

How well does your sampler really work?

Ryan Turner, Brady Neal

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018