1 code implementation • 1 Jul 2022 • Ron Amit, Baruch Epstein, Shay Moran, Ron Meir
We present a PAC-Bayes-style generalization bound which enables the replacement of the KL-divergence with a variety of Integral Probability Metrics (IPM).
1 code implementation • ICML 2020 • Ron Amit, Ron Meir, Kamil Ciosek
Specifying a Reinforcement Learning (RL) task involves choosing a suitable planning horizon, which is typically modeled by a discount factor.
no code implementations • ICLR 2018 • Ron Amit, Ron Meir
We develop a framework for lifelong learning in deep neural networks that is based on generalization bounds, developed within the PAC-Bayes framework.
1 code implementation • ICML 2018 • Ron Amit, Ron Meir
In meta-learning an agent extracts knowledge from observed tasks, aiming to facilitate learning of novel future tasks.