| Backpropagation through the void: Optimizing control variates for black-box gradient estimation W Grathwohl, D Choi, Y Wu, G Roeder, D Duvenaud arXiv preprint arXiv:1711.00123, 2017 | 107 | 2017 |
| Guided evolutionary strategies: escaping the curse of dimensionality in random search N Maheswaranathan, L Metz, G Tucker, D Choi, J Sohl-Dickstein | 11 | 2018 |
| Guided evolutionary strategies: Augmenting random search with surrogate gradients N Maheswaranathan, L Metz, G Tucker, D Choi, J Sohl-Dickstein arXiv preprint arXiv:1806.10230, 2018 | 7 | 2018 |
| On Empirical Comparisons of Optimizers for Deep Learning D Choi, CJ Shallue, Z Nado, J Lee, CJ Maddison, GE Dahl arXiv preprint arXiv:1910.05446, 2019 | 3 | 2019 |
| Faster neural network training with data echoing D Choi, A Passos, CJ Shallue, GE Dahl arXiv preprint arXiv:1907.05550, 2019 | 1 | 2019 |
