ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1611.05010
  4. Cited By
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm

Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm

15 November 2016
Kejun Huang
Xiao Fu
N. Sidiropoulos
ArXivPDFHTML

Papers citing "Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm"

25 / 25 papers shown
Title
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
Subash Timilsina
Sagar Shrestha
Xiao Fu
23
0
0
28 Sep 2024
Checking the Sufficiently Scattered Condition using a Global Non-Convex
  Optimization Software
Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software
Nicolas Gillis
Robert Luce
10
1
0
08 Feb 2024
Deep Learning From Crowdsourced Labels: Coupled Cross-entropy
  Minimization, Identifiability, and Regularization
Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization
Shahana Ibrahim
Tri Nguyen
Xiao Fu
23
19
0
05 Jun 2023
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric
  Regularization Approach
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
Tri Nguyen
Shahana Ibrahim
Xiao Fu
27
5
0
30 May 2023
Unsupervised Learning under Latent Label Shift
Unsupervised Learning under Latent Label Shift
Manley Roberts
P. Mani
Saurabh Garg
Zachary Chase Lipton
OOD
57
9
0
26 Jul 2022
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference
Moontae Lee
Sungjun Cho
Kun Dong
David M. Mimno
D. Bindel
27
1
0
12 Nov 2021
Learning Topic Models: Identifiability and Finite-Sample Analysis
Learning Topic Models: Identifiability and Finite-Sample Analysis
Yinyin Chen
Shishuang He
Yun Yang
Feng Liang
11
6
0
08 Oct 2021
Memory-Efficient Convex Optimization for Self-Dictionary Separable
  Nonnegative Matrix Factorization: A Frank-Wolfe Approach
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach
Tri Nguyen
Xiao Fu
Ruiyuan Wu
25
10
0
23 Sep 2021
Probabilistic semi-nonnegative matrix factorization: a Skellam-based
  framework
Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework
Benoit Fuentes
G. Richard
13
0
0
07 Jul 2021
Author Clustering and Topic Estimation for Short Texts
Author Clustering and Topic Estimation for Short Texts
Graham Tierney
C. Bail
A. Volfovsky
11
1
0
15 Jun 2021
Mixed Membership Graph Clustering via Systematic Edge Query
Mixed Membership Graph Clustering via Systematic Edge Query
Shahana Ibrahim
Xiao Fu
8
4
0
25 Nov 2020
Deep topic modeling by multilayer bootstrap network and lasso
Deep topic modeling by multilayer bootstrap network and lasso
Georgios Balikas
Ioannis Partalas
BDL
21
0
0
24 Oct 2019
Dirichlet Simplex Nest and Geometric Inference
Dirichlet Simplex Nest and Geometric Inference
Mikhail Yurochkin
Aritra Guha
Yuekai Sun
X. Nguyen
8
4
0
27 May 2019
Minimum Volume Topic Modeling
Minimum Volume Topic Modeling
B. Jang
Alfred Hero
16
4
0
03 Apr 2019
Learning Nonlinear Mixtures: Identifiability and Algorithm
Learning Nonlinear Mixtures: Identifiability and Algorithm
Bo Yang
Xiao Fu
N. Sidiropoulos
Kejun Huang
CML
9
11
0
06 Jan 2019
Overlapping Clustering Models, and One (class) SVM to Bind Them All
Overlapping Clustering Models, and One (class) SVM to Bind Them All
Xueyu Mao
Purnamrita Sarkar
Deepayan Chakrabarti
15
37
0
18 Jun 2018
Nonnegative Matrix Factorization for Signal and Data Analytics:
  Identifiability, Algorithms, and Applications
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
Xiao Fu
Kejun Huang
N. Sidiropoulos
Wing-Kin Ma
15
201
0
03 Mar 2018
Learning Hidden Markov Models from Pairwise Co-occurrences with
  Application to Topic Modeling
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling
Kejun Huang
Xiao Fu
N. Sidiropoulos
22
23
0
19 Feb 2018
Prior-aware Dual Decomposition: Document-specific Topic Inference for
  Spectral Topic Models
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models
Moontae Lee
D. Bindel
David M. Mimno
20
0
0
19 Nov 2017
On Identifiability of Nonnegative Matrix Factorization
On Identifiability of Nonnegative Matrix Factorization
Xiao Fu
Kejun Huang
N. Sidiropoulos
26
93
0
02 Sep 2017
Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix
  Factorization Framework via Facet Enumeration and Convex Optimization
Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization
Chia-Hsiang Lin
Ruiyuan Wu
Wing-Kin Ma
Chong-Yung Chi
Yijiao Wang
32
50
0
09 Aug 2017
Consistent Estimation of Mixed Memberships with Successive Projections
Consistent Estimation of Mixed Memberships with Successive Projections
Maxim Panov
Konstantin Slavnov
Roman Ushakov
16
20
0
05 Jul 2017
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
Xueyu Mao
Purnamrita Sarkar
Deepayan Chakrabarti
15
50
0
01 Jul 2016
Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix
  Factorization
Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization
Nicolas Gillis
S. Vavasis
58
222
0
06 Aug 2012
Factoring nonnegative matrices with linear programs
Factoring nonnegative matrices with linear programs
Victor Bittorf
Benjamin Recht
Christopher Ré
J. Tropp
81
204
0
06 Jun 2012
1