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One for All: Simultaneous Metric and Preference Learning over Multiple
  Users

One for All: Simultaneous Metric and Preference Learning over Multiple Users

7 July 2022
Gregory H. Canal
Blake Mason
Ramya Korlakai Vinayak
R. Nowak
    FedML
ArXivPDFHTML

Papers citing "One for All: Simultaneous Metric and Preference Learning over Multiple Users"

13 / 13 papers shown
Title
Initializing Services in Interactive ML Systems for Diverse Users
Initializing Services in Interactive ML Systems for Diverse Users
Avinandan Bose
Mihaela Curmei
Daniel L. Jiang
Jamie Morgenstern
Sarah Dean
Lillian J. Ratliff
Maryam Fazel
46
5
0
19 Dec 2023
Improved Confidence Bounds for the Linear Logistic Model and
  Applications to Linear Bandits
Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits
Kwang-Sung Jun
Lalit P. Jain
Blake Mason
Houssam Nassif
53
20
0
23 Nov 2020
Simultaneous Preference and Metric Learning from Paired Comparisons
Simultaneous Preference and Metric Learning from Paired Comparisons
Austin Xu
Mark A. Davenport
59
18
0
04 Sep 2020
Active Ordinal Querying for Tuplewise Similarity Learning
Active Ordinal Querying for Tuplewise Similarity Learning
Gregory H. Canal
Stefano Fenu
Christopher Rozell
DML
35
7
0
09 Oct 2019
Learning Nearest Neighbor Graphs from Noisy Distance Samples
Learning Nearest Neighbor Graphs from Noisy Distance Samples
Blake Mason
Ardhendu Shekhar Tripathy
Robert D. Nowak
FedML
35
9
0
30 May 2019
Active embedding search via noisy paired comparisons
Active embedding search via noisy paired comparisons
Gregory H. Canal
A. Massimino
Mark A. Davenport
Christopher Rozell
50
23
0
10 May 2019
As you like it: Localization via paired comparisons
As you like it: Localization via paired comparisons
A. Massimino
Mark A. Davenport
40
16
0
19 Feb 2018
Learning Low-Dimensional Metrics
Learning Low-Dimensional Metrics
Lalit P. Jain
Blake Mason
Robert D. Nowak
59
38
0
18 Sep 2017
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
Lalit P. Jain
Kevin Jamieson
Robert D. Nowak
61
69
0
22 Jun 2016
An Introduction to Matrix Concentration Inequalities
An Introduction to Matrix Concentration Inequalities
J. Tropp
139
1,148
0
07 Jan 2015
Deep metric learning using Triplet network
Deep metric learning using Triplet network
Elad Hoffer
Nir Ailon
SSL
DML
176
1,993
0
20 Dec 2014
Active Ranking using Pairwise Comparisons
Active Ranking using Pairwise Comparisons
Kevin Jamieson
Robert D. Nowak
168
252
0
16 Sep 2011
Spectral Methods for Learning Multivariate Latent Tree Structure
Spectral Methods for Learning Multivariate Latent Tree Structure
Omer Tamuz
Ce Liu
Daniel J. Hsu
Ohad Shamir
Serge J. Belongie
Tong Zhang
80
251
0
07 Jul 2011
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