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Polynomial Networks and Factorization Machines: New Insights and
  Efficient Training Algorithms

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms

29 July 2016
Mathieu Blondel
Masakazu Ishihata
Akinori Fujino
N. Ueda
ArXiv (abs)PDFHTML

Papers citing "Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms"

39 / 39 papers shown
Identifiability of Deep Polynomial Neural Networks
Identifiability of Deep Polynomial Neural Networks
K. Usevich
Clara Dérand
Ricardo Augusto Borsoi
Marianne Clausel
321
9
0
20 Jun 2025
On subdifferential chain rule of matrix factorization and beyond
On subdifferential chain rule of matrix factorization and beyond
Jiewen Guan
Anthony Man-Cho So
AI4CE
350
1
0
07 Oct 2024
Constructing structured tensor priors for Bayesian inverse problems
Constructing structured tensor priors for Bayesian inverse problems
Kim Batselier
150
0
0
25 Jun 2024
xDeepInt: a hybrid architecture for modeling the vector-wise and
  bit-wise feature interactions
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions
Yachen Yan
Liubo Li
211
14
0
03 Jan 2023
Detecting Arbitrary Order Beneficial Feature Interactions for
  Recommender Systems
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender SystemsKnowledge Discovery and Data Mining (KDD), 2022
Yixin Su
Yunxiang Zhao
S. Erfani
Junhao Gan
Rui Zhang
840
30
0
28 Jun 2022
Additive Higher-Order Factorization Machines
Additive Higher-Order Factorization Machines
David Rügamer
286
3
0
28 May 2022
Improved Random Features for Dot Product Kernels
Improved Random Features for Dot Product Kernels
Jonas Wacker
Motonobu Kanagawa
Maurizio Filippone
293
10
0
21 Jan 2022
Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple
  Multilinear Correlations
Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations
Yiwei Chen
Yu Pan
D. Dong
328
10
0
19 Aug 2021
SHORING: Design Provable Conditional High-Order Interaction Network via
  Symbolic Testing
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing
Hui Li
Xingbo Fu
Ruofan Wu
Jinyu Xu
Kai Y. Xiao
...
Weiqiang Wang
Shuai Chen
Leilei Shi
Tao Xiong
Yuan Qi
AI4TS
151
0
0
03 Jul 2021
Ladder Polynomial Neural Networks
Ladder Polynomial Neural Networks
Liping Liu
Ruiyuan Gu
Xiaozhe Hu
138
2
0
25 Jun 2021
Factorization Machines with Regularization for Sparse Feature
  Interactions
Factorization Machines with Regularization for Sparse Feature InteractionsJournal of machine learning research (JMLR), 2020
Kyohei Atarashi
S. Oyama
M. Kurihara
334
10
0
19 Oct 2020
LSTM Networks for Online Cross-Network Recommendations
LSTM Networks for Online Cross-Network RecommendationsInternational Joint Conference on Artificial Intelligence (IJCAI), 2018
Dilruk Perera
Roger Zimmermann
214
24
0
25 Aug 2020
CnGAN: Generative Adversarial Networks for Cross-network user preference
  generation for non-overlapped users
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users
Dilruk Perera
Roger Zimmermann
221
32
0
25 Aug 2020
Detecting Beneficial Feature Interactions for Recommender Systems
Detecting Beneficial Feature Interactions for Recommender SystemsAAAI Conference on Artificial Intelligence (AAAI), 2020
Yixin Su
Rui Zhang
S. Erfani
Zhenghua Xu
533
82
0
02 Aug 2020
A Solution for Large Scale Nonlinear Regression with High Rank and
  Degree at Constant Memory Complexity via Latent Tensor Reconstruction
A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction
S. Szedmák
A. Cichońska
H. Julkunen
T. Pahikkala
Juho Rousu
116
6
0
04 May 2020
Generalized Embedding Machines for Recommender Systems
Generalized Embedding Machines for Recommender SystemsMachine Intelligence Research (MIR), 2020
Enneng Yang
Xin Xin
Li Shen
G. Guo
220
3
0
16 Feb 2020
Supervised Learning for Non-Sequential Data: A Canonical Polyadic
  Decomposition Approach
Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach
A. Haliassos
Kriton Konstantinidis
Danilo P. Mandic
315
1
0
27 Jan 2020
Projective Quadratic Regression for Online Learning
Projective Quadratic Regression for Online LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Wenye Ma
104
2
0
25 Nov 2019
Feature Interaction-aware Graph Neural Networks
Feature Interaction-aware Graph Neural Networks
Kaize Ding
Yichuan Li
Jundong Li
Chenghao Liu
Huan Liu
GNN
184
10
0
19 Aug 2019
Expressive power of tensor-network factorizations for probabilistic
  modeling, with applications from hidden Markov models to quantum machine
  learning
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learningNeural Information Processing Systems (NeurIPS), 2019
I. Glasser
R. Sweke
Nicola Pancotti
Jens Eisert
J. I. Cirac
345
143
0
08 Jul 2019
Nonlinear System Identification via Tensor Completion
Nonlinear System Identification via Tensor CompletionAAAI Conference on Artificial Intelligence (AAAI), 2019
Nikos Kargas
N. Sidiropoulos
241
15
0
13 Jun 2019
Kervolutional Neural Networks
Kervolutional Neural Networks
Chen Wang
Jianfei Yang
Lihua Xie
Junsong Yuan
246
71
0
08 Apr 2019
Which Factorization Machine Modeling is Better: A Theoretical Answer
  with Optimal Guarantee
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal GuaranteeAAAI Conference on Artificial Intelligence (AAAI), 2019
Ming Lin
Delin Qu
Jieping Ye
Xiaomin Song
Qi Qian
Liang Sun
Shenghuo Zhu
Rong Jin
138
4
0
30 Jan 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive
  Neural Networks
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song
Chence Shi
Zhiping Xiao
Zhijian Duan
Yewen Xu
Ming Zhang
Jian Tang
CML
442
1,032
0
29 Oct 2018
Multimodal Polynomial Fusion for Detecting Driver Distraction
Multimodal Polynomial Fusion for Detecting Driver Distraction
Yulun Du
Chirag Raman
A. Black
Louis-Philippe Morency
M. Eskénazi
111
17
0
24 Oct 2018
Attribute-aware Collaborative Filtering: Survey and Classification
Attribute-aware Collaborative Filtering: Survey and Classification
Wen-Hao Chen
Chin-Chi Hsu
Yi-An Lai
Vincent Liu
Mi-Yen Yeh
Shou-De Lin
152
1
0
20 Oct 2018
From probabilistic graphical models to generalized tensor networks for
  supervised learning
From probabilistic graphical models to generalized tensor networks for supervised learning
I. Glasser
Nicola Pancotti
J. I. Cirac
AI4CE
303
83
0
15 Jun 2018
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge
  Regression
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Michiel Stock
T. Pahikkala
A. Airola
B. De Baets
Willem Waegeman
231
26
0
05 Mar 2018
Online Compact Convexified Factorization Machine
Online Compact Convexified Factorization Machine
Wenpeng Zhang
Xiao Lin
P. Zhao
322
17
0
05 Feb 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks
Learning Relevant Features of Data with Multi-scale Tensor Networks
Tayssir Doghri
347
151
0
31 Dec 2017
Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression
Strongly Hierarchical Factorization Machines and ANOVA Kernel RegressionSDM (SDM), 2017
Ruocheng Guo
Hamidreza Alvari
Paulo Shakarian
154
1
0
25 Dec 2017
Neural Factorization Machines for Sparse Predictive Analytics
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He
Tat-Seng Chua
360
1,404
0
16 Aug 2017
Multi-output Polynomial Networks and Factorization Machines
Multi-output Polynomial Networks and Factorization Machines
Mathieu Blondel
Vlad Niculae
Takuma Otsuka
N. Ueda
195
15
0
22 May 2017
Argument Mining with Structured SVMs and RNNs
Argument Mining with Structured SVMs and RNNs
Vlad Niculae
Joonsuk Park
Claire Cardie
273
120
0
23 Apr 2017
Learning from Multi-View Multi-Way Data via Structural Factorization
  Machines
Learning from Multi-View Multi-Way Data via Structural Factorization Machines
Chun-Ta Lu
Lifang He
Hao Ding
Bokai Cao
Philip S. Yu
239
16
0
10 Apr 2017
The Second Order Linear Model
The Second Order Linear Model
Ming Lin
Delin Qu
Bin Hong
Jieping Ye
307
6
0
02 Mar 2017
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex
  Matrix Factorization
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
Xingguo Li
Junwei Lu
R. Arora
Jarvis Haupt
Han Liu
Zhaoran Wang
T. Zhao
287
53
0
29 Dec 2016
A Non-convex One-Pass Framework for Generalized Factorization Machine
  and Rank-One Matrix Sensing
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix SensingNeural Information Processing Systems (NeurIPS), 2016
Ming Lin
Jieping Ye
286
24
0
21 Aug 2016
Higher-Order Factorization Machines
Higher-Order Factorization Machines
Mathieu Blondel
Akinori Fujino
N. Ueda
Masakazu Ishihata
343
219
0
25 Jul 2016
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