Benefits of over-parameterization with EM

26 October 2018

Papers citing "Benefits of over-parameterization with EM"

6 / 6 papers shown

Title
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation Can Yaras Peng Wang Laura Balzano Qing Qu AI4CE 37 12 0 06 Jun 2024
Fast exploration and learning of latent graphs with aliased observations Miguel Lazaro-Gredilla Ishani Deshpande Siva K. Swaminathan Meet Dave Dileep George 23 3 0 13 Mar 2023
EM's Convergence in Gaussian Latent Tree Models Y. Dagan C. Daskalakis Anthimos Vardis Kandiros 32 2 0 21 Nov 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs Songlin Yang Wei Liu Kewei Tu 21 8 0 01 May 2022
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols Songlin Yang Yanpeng Zhao Kewei Tu 23 22 0 28 Apr 2021
On EM algorithms and their proximal generalizations Stéphane Chrétien Alfred Hero FedML 62 47 0 27 Jan 2012