publications
2023
- arXivTools for Verifying Neural Models’ Training DataarXiv preprint arXiv:2307.00682 2023
2020
- ICBINBSelf-Tuning Stochastic Optimization with Curvature-Aware Gradient FilteringWorkshop on "I Can’t Believe It’s Not Better!", NeurIPS 2020
2019
- arXivOn empirical comparisons of optimizers for deep learningarXiv preprint arXiv:1910.05446 2019
- arXivFaster neural network training with data echoingarXiv preprint arXiv:1907.05550 2019
- ICMLGuided evolutionary strategies: Augmenting random search with surrogate gradientsIn International Conference on Machine Learning 2019
2018
- ICLRBackpropagation through the Void: Optimizing control variates for black-box gradient estimationIn International Conference on Learning Representations 2018