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Spectral Methods for Learning Multivariate Latent Tree Structure

Spectral Methods for Learning Multivariate Latent Tree Structure

7 July 2011
Omer Tamuz
Ce Liu
Daniel J. Hsu
Ohad Shamir
Serge J. Belongie
Tong Zhang
ArXivPDFHTML

Papers citing "Spectral Methods for Learning Multivariate Latent Tree Structure"

20 / 20 papers shown
Title
Optimal estimation of Gaussian (poly)trees
Optimal estimation of Gaussian (poly)trees
Yuhao Wang
Ming Gao
Wai Ming Tai
Bryon Aragam
Arnab Bhattacharyya
TPM
27
1
0
09 Feb 2024
Learning Human-Compatible Representations for Case-Based Decision
  Support
Learning Human-Compatible Representations for Case-Based Decision Support
Han Liu
Yizhou Tian
Chacha Chen
Shi Feng
Yuxin Chen
Chenhao Tan
25
5
0
06 Mar 2023
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
Oracle Guided Image Synthesis with Relative Queries
Oracle Guided Image Synthesis with Relative Queries
Alec Helbling
Christopher Rozell
Matthew R. O’Shaughnessy
Kion Fallah
18
0
0
28 Apr 2022
Enriching ImageNet with Human Similarity Judgments and Psychological
  Embeddings
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
Brett D. Roads
Bradley C. Love
3DH
19
39
0
22 Nov 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data
Two Simple Ways to Learn Individual Fairness Metrics from Data
Debarghya Mukherjee
Mikhail Yurochkin
Moulinath Banerjee
Yuekai Sun
FaML
24
96
0
19 Jun 2020
Spectral neighbor joining for reconstruction of latent tree models
Spectral neighbor joining for reconstruction of latent tree models
Ariel Jaffe
Noah Amsel
Yariv Aizenbud
B. Nadler
Joseph T. Chang
Y. Kluger
BDL
8
4
0
28 Feb 2020
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
Uncertainty Estimates for Ordinal Embeddings
Uncertainty Estimates for Ordinal Embeddings
Michael Lohaus
Philipp Hennig
U. V. Luxburg
23
6
0
27 Jun 2019
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel
  $k$-means Clustering
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel kkk-means Clustering
Manuel Fernández
David P. Woodruff
T. Yasuda
13
6
0
15 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
28
23
0
10 May 2019
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic
  Geometry
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
Maximilian Nickel
Douwe Kiela
13
450
0
09 Jun 2018
Human-in-the-Loop Interpretability Prior
Human-in-the-Loop Interpretability Prior
Isaac Lage
A. Ross
Been Kim
S. Gershman
Finale Doshi-Velez
26
120
0
29 May 2018
The Geometry of Culture: Analyzing Meaning through Word Embeddings
The Geometry of Culture: Analyzing Meaning through Word Embeddings
Austin C. Kozlowski
Matt Taddy
James A. Evans
27
376
0
25 Mar 2018
Actively Learning Hemimetrics with Applications to Eliciting User
  Preferences
Actively Learning Hemimetrics with Applications to Eliciting User Preferences
Adish Singla
Sebastian Tschiatschek
Andreas Krause
12
17
0
23 May 2016
Triplet Probabilistic Embedding for Face Verification and Clustering
Triplet Probabilistic Embedding for Face Verification and Clustering
S. Sankaranarayanan
A. Alavi
Carlos D. Castillo
Rama Chellappa
CVBM
3DH
26
214
0
19 Apr 2016
Bayesian representation learning with oracle constraints
Bayesian representation learning with oracle constraints
Theofanis Karaletsos
Serge J. Belongie
Gunnar Rätsch
BDL
19
92
0
16 Jun 2015
Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons
Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons
James Y. Zou
Kamalika Chaudhuri
Adam Tauman Kalai
16
32
0
31 Mar 2015
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
27
4,396
0
20 Nov 2014
Learning loopy graphical models with latent variables: Efficient methods
  and guarantees
Learning loopy graphical models with latent variables: Efficient methods and guarantees
Anima Anandkumar
R. Valluvan
45
50
0
17 Mar 2012
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