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 | 51 | 2018 |
How well does your sampler really work? R Turner, B Neal UAI 2018, 2018 | 2 | 2018 |
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 | 1 | 2020 |
On the Bias-Variance Tradeoff: Textbooks Need an Update B Neal arXiv preprint arXiv:1912.08286, 2019 | 1 | 2019 |
In Support of Over-Parametrization in Deep Reinforcement Learning: an Empirical Study B Neal, I Mitliagkas | 1 | 2019 |
RealCause: Realistic Causal Inference Benchmarking B Neal, CW Huang, S Raghupathi arXiv preprint arXiv:2011.15007, 2020 | | 2020 |
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 |