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Learning Low-Dimensional Metrics

Learning Low-Dimensional Metrics

18 September 2017
Lalit P. Jain
Blake Mason
Robert D. Nowak
ArXivPDFHTML

Papers citing "Learning Low-Dimensional Metrics"

6 / 6 papers shown
Title
The Complexity of Learning Sparse Superposed Features with Feedback
The Complexity of Learning Sparse Superposed Features with Feedback
Akash Kumar
187
0
0
08 Feb 2025
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous
  Preferences
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Daiwei Chen
Yi Chen
Aniket Rege
Ramya Korlakai Vinayak
46
17
0
12 Jun 2024
One for All: Simultaneous Metric and Preference Learning over Multiple
  Users
One for All: Simultaneous Metric and Preference Learning over Multiple Users
Gregory H. Canal
Blake Mason
Ramya Korlakai Vinayak
R. Nowak
FedML
17
11
0
07 Jul 2022
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive
  Step Size
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
Ke Ma
Jinshan Zeng
Qianqian Xu
Xiaochun Cao
Wei Liu
Yuan Yao
20
3
0
01 Dec 2019
On Tree-based Methods for Similarity Learning
On Tree-based Methods for Similarity Learning
Stéphan Clémençon
Robin Vogel
9
1
0
21 Jun 2019
Escaping the Curse of Dimensionality in Similarity Learning: Efficient
  Frank-Wolfe Algorithm and Generalization Bounds
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds
Kuan Liu
A. Bellet
16
13
0
20 Jul 2018
1