21 citations · 35 across the 4 of their papers we have counts for
5 papers
Representation Learning via Variational Bayesian Networks
Oren Barkan, Avi Caciularu, Idan Rejwan +4
We present Variational Bayesian Network (VBN) - a novel Bayesian entity representation learning model that utilizes hierarchical and relational side information and is particularly…
On the Evolution of Word Order
Idan Rejwan, Avi Caciularu
Most natural languages have a predominant or fixed word order. For example in English the word order is usually Subject-Verb-Object. This work attempts to explain this phenomenon a…
Bayesian Hierarchical Words Representation Learning
Oren Barkan, Idan Rejwan, Avi Caciularu +1
This paper presents the Bayesian Hierarchical Words Representation (BHWR) learning algorithm. BHWR facilitates Variational Bayes word representation learning combined with semantic…
Top-k Combinatorial Bandits with Full-Bandit Feedback
Idan Rejwan, Yishay Mansour
Top-k Combinatorial Bandits generalize multi-armed bandits, where at each round any subset of out of arms may be chosen and the sum of the rewards is gained. We address the…
Inducing Regular Grammars Using Recurrent Neural Networks
Mor Cohen, Avi Caciularu, Idan Rejwan +1
Grammar induction is the task of learning a grammar from a set of examples. Recently, neural networks have been shown to be powerful learning machines that can identify patterns in…