2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
On the Importance of Gradient Norm in PAC-Bayesian Bounds
Itai Gat, Yossi Adi, Alexander Schwing +1
Generalization bounds which assess the difference between the true risk and the empirical risk, have been studied extensively. However, to obtain bounds, current techniques use str…
cs.LG2022★ 2 cited
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
Alon Berliner, Guy Rotman, Yossi Adi +2
Discrete variational auto-encoders (VAEs) are able to represent semantic latent spaces in generative learning. In many real-life settings, the discrete latent space consists of hig…
cs.LG2020
On the generalization of bayesian deep nets for multi-class classification
Yossi Adi, Yaniv Nemcovsky, Alex Schwing +1
Generalization bounds which assess the difference between the true risk and the empirical risk have been studied extensively. However, to obtain bounds, current techniques use stri…