Constrained Empirical Risk Minimization: Theory and Practice

9 February 2023

Papers citing "Constrained Empirical Risk Minimization: Theory and Practice"

5 / 5 papers shown

Title
Myopically Verifiable Probabilistic Certificates for Safe Control and Learning Zhuoyuan Wang Haoming Jing Christian Kurniawan Albert Chern Yorie Nakahira 39 1 0 23 Apr 2024
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 48 50 0 04 Oct 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016