ResearchTrend.AI
On the Equivalence between Herding and Conditional Gradient Algorithms

On the Equivalence between Herding and Conditional Gradient Algorithms

Francis R. Bach
Simon Lacoste-Julien
G. Obozinski
ArXivPDFHTML

Papers citing "On the Equivalence between Herding and Conditional Gradient Algorithms"

4 / 4 papers shown
Title
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya
Sujay Sanghavi
Alexandros G. Dimakis
Inderjit S Dhillon
AAML
90
0
0
01 Apr 2025
Herding Dynamic Weights for Partially Observed Random Field Models
Herding Dynamic Weights for Partially Observed Random Field Models
Max Welling
106
37
0
09 May 2012
Super-Samples from Kernel Herding
Super-Samples from Kernel Herding
Yutian Chen
Max Welling
Alex Smola
105
335
0
15 Mar 2012
Learning with Submodular Functions: A Convex Optimization Perspective
Learning with Submodular Functions: A Convex Optimization Perspective
Francis R. Bach
116
476
0
28 Nov 2011

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.