Amit Daniely

the implicit bias of depth how incremental learning drives generalization (2020)| ICLR 2020 : Eighth International Conference on Learning Representations| Read more

generalization bounds for neural networks via approximate description length (2019)| NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems| Read more

locally private learning without interaction requires separation (2019)| NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems| Read more

locally private learning without interaction requires separation (2019)| arXiv: Learning| Read more

generalization bounds for neural networks via approximate description length (2019)| arXiv preprint arXiv:1910.05697| Read more

open problem is margin sufficient for non interactive private distributed learning (2019)| Conference on Learning Theory| Read more

learning rules first classifiers (2019)| arXiv: Learning| Read more

learning rules first classifiers (2019)| The 22nd International Conference on Artificial Intelligence and Statistics| Read more

competitive ratio versus regret minimization achieving the best of both worlds (2019)| arXiv preprint arXiv:1904.03602| Read more

competitive ratio vs regret minimization achieving the best of both worlds (2019)| Algorithmic Learning Theory| Read more

learning with rules (2018)| arXiv preprint arXiv:1803.03155| Read more