Federated Multi-task Bayesian Network Learning in the Presence of Overlapping and Distinct Variables

X Yang, B Niu, T Lan, C Zhang - IISE Transactions, 2024 - Taylor & Francis
Bayesian network (BN) is a powerful tool for causal dependence relationship discoveries of
multivariate data. This paper proposes a federated multi-task learning framework for BNs …

Towards an understanding of residual networks using neural tangent hierarchy (NTH)

Y Li, T Luo, NK Yip - arXiv preprint arXiv:2007.03714, 2020 - arxiv.org
Gradient descent yields zero training loss in polynomial time for deep neural networks
despite non-convex nature of the objective function. The behavior of network in the infinite …

[PDF][PDF] Practical polynomial optimization through positivity certificates with and without denominators.

V MAGRON - 2022 - researchgate.net
Résumé Les certificats de positivité ou Positivstellensätze fournissent des représentations
de polynômes positifs sur des ensembles semialgébriques basiques fermés, c'est-a-dire des …

Practical polynomial optimization through positivity certificates with and without denominators

NHA Mai - 2022 - laas.hal.science
Positivity certificates or Positivstellens" atze provide representations of polynomials positive
on basic semialgebraic sets, ie, sets defined by finitely many polynomial inequalities. The …