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PU Learning for Matrix Completion

PU Learning for Matrix Completion

22 November 2014
Cho-Jui Hsieh
Nagarajan Natarajan
Inderjit S. Dhillon
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Papers citing "PU Learning for Matrix Completion"

18 / 18 papers shown
Title
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
47
1
0
05 Feb 2025
Misclassification excess risk bounds for 1-bit matrix completion
Misclassification excess risk bounds for 1-bit matrix completion
The Tien Mai
24
0
0
20 Dec 2023
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational
  Loss for Hyperspectral Remote Sensing Imagery
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
Hengwei Zhao
Xinyu Wang
Jingtao Li
Yanfei Zhong
37
9
0
29 Aug 2023
Multiscale Positive-Unlabeled Detection of AI-Generated Texts
Multiscale Positive-Unlabeled Detection of AI-Generated Texts
Yuchuan Tian
Hanting Chen
Xutao Wang
Zheyuan Bai
Qinghua Zhang
Ruifeng Li
Chaoxi Xu
Yunhe Wang
DeLMO
38
42
0
29 May 2023
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with
  Constraints
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints
Soumyajit Gupta
Gurpreet Singh
Raghu Bollapragada
Matthew Lease
30
4
0
28 Oct 2021
One-Bit Matrix Completion with Differential Privacy
One-Bit Matrix Completion with Differential Privacy
Zhengpin Li
Zheng Wei
Zengfeng Huang
Xiaojun Mao
Jian Wang
27
0
0
02 Oct 2021
Multi-Label Learning from Single Positive Labels
Multi-Label Learning from Single Positive Labels
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
23
108
0
17 Jun 2021
GAN-based Recommendation with Positive-Unlabeled Sampling
GAN-based Recommendation with Positive-Unlabeled Sampling
Yao Zhou
Jianpeng Xu
Jun Wu
Zeinab Taghavi Nasrabadi
Evren Körpeoglu
Kannan Achan
Jingrui He
25
4
0
12 Dec 2020
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Wenhui Yu
Zheng Qin
NoLa
26
49
0
28 Jun 2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from
  Implicit Feedback
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback
Chao Wang
Hengshu Zhu
Chen Zhu
Chuan Qin
Hui Xiong
CML
BDL
15
40
0
23 Feb 2020
Distantly Supervised Named Entity Recognition using Positive-Unlabeled
  Learning
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
Minlong Peng
Xiaoyu Xing
Qi Zhang
Jinlan Fu
Xuanjing Huang
21
102
0
04 Jun 2019
On Exploring Undetermined Relationships for Visual Relationship
  Detection
On Exploring Undetermined Relationships for Visual Relationship Detection
Yibing Zhan
Jun-chen Yu
Ting Yu
Dacheng Tao
31
82
0
05 May 2019
Learning from positive and unlabeled data: a survey
Learning from positive and unlabeled data: a survey
Jessa Bekker
Jesse Davis
17
550
0
12 Nov 2018
SQL-Rank: A Listwise Approach to Collaborative Ranking
SQL-Rank: A Listwise Approach to Collaborative Ranking
Liwei Wu
Cho-Jui Hsieh
James Sharpnack
24
38
0
28 Feb 2018
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback
Peng Yang
P. Zhao
Xin Gao
Yong Liu
29
20
0
03 Jul 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo
Gang Niu
M. C. D. Plessis
Masashi Sugiyama
33
468
0
02 Mar 2017
Efficient Training for Positive Unlabeled Learning
Efficient Training for Positive Unlabeled Learning
Emanuele Sansone
F. D. De Natale
Zhi-Hua Zhou
32
65
0
24 Aug 2016
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational
  Approximation
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation
V. Cottet
Pierre Alquier
38
36
0
14 Apr 2016
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