21 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 21 cited
Bayesian Structure Learning with Generative Flow Networks
Tristan Deleu, António Góis, Chris Emezue +4
In Bayesian structure learning, we are interested in inferring a distribution over the directed acyclic graph (DAG) structure of Bayesian networks, from data. Defining such a distr…
cs.LG2020
A priori guarantees of finite-time convergence for Deep Neural Networks
Anushree Rankawat, Mansi Rankawat, Harshal B. Oza
In this paper, we perform Lyapunov based analysis of the loss function to derive an a priori upper bound on the settling time of deep neural networks. While previous studies have a…