Learning Networked Exponential Families with Network Lasso

22 May 2019

Papers citing "Learning Networked Exponential Families with Network Lasso"

15 / 15 papers shown

Title
Localized Linear Regression in Networked Data A. Jung Nguyen Tran 20 27 0 26 Mar 2019
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 60 378 0 03 Jun 2018
On The Complexity of Sparse Label Propagation A. Jung 71 10 0 25 Apr 2018
A Fixed-Point of View on Gradient Methods for Big Data A. Jung 35 27 0 29 Jun 2017
When is Network Lasso Accurate? A. Jung Nguyen Tran Quang Alexandru Mara 105 40 0 07 Apr 2017
Provable Algorithms for Inference in Topic Models Sanjeev Arora Rong Ge Frederic Koehler Tengyu Ma Ankur Moitra 16 29 0 27 May 2016
Optimal rates for total variation denoising Jan-Christian Hütter Philippe Rigollet 42 33 0 30 Mar 2016
Localized Lasso for High-Dimensional Regression M. Yamada Koh Takeuchi Tomoharu Iwata John Shawe-Taylor Samuel Kaski 86 50 0 22 Mar 2016
Collaborative Filtering Bandits Shuai Li Alexandros Karatzoglou Claudio Gentile 58 315 0 11 Feb 2015
Global Convergence of Online Limited Memory BFGS Aryan Mokhtari Alejandro Ribeiro 56 164 0 06 Sep 2014
Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach A. Jung 76 31 0 04 Apr 2014
Online Clustering of Bandits Claudio Gentile Shuai Li Giovanni Zappella 52 264 0 31 Jan 2014
The RKHS Approach to Minimum Variance Estimation Revisited: Variance Bounds, Sufficient Statistics, and Exponential Families A. Jung Sebastian Schmutzhard F. Hlawatsch 28 6 0 24 Oct 2012
A Spectral Algorithm for Latent Dirichlet Allocation Anima Anandkumar Dean Phillips Foster Daniel J. Hsu Sham Kakade Yi-Kai Liu 129 300 0 30 Apr 2012
A Tutorial on Spectral Clustering U. V. Luxburg 181 10,497 0 01 Nov 2007