Neal, Brady

5 publications

ICLR 2024 Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis

NeurIPS 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

ICMLW 2019 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

ICMLW 2019 In Support of Over-Parametrization in Deep Reinforcement Learning: An Empirical Study Brady Neal, Ioannis Mitliagkas

UAI 2018 How Well Does Your Sampler Really Work? Ryan Turner, Brady Neal