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. 2010.00554
  4. Cited By
EigenGame: PCA as a Nash Equilibrium

EigenGame: PCA as a Nash Equilibrium

1 October 2020
I. Gemp
Brian McWilliams
Claire Vernade
T. Graepel
ArXivPDFHTML

Papers citing "EigenGame: PCA as a Nash Equilibrium"

30 / 30 papers shown
Title
Rethinking Teacher-Student Curriculum Learning through the Cooperative
  Mechanics of Experience
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience
Manfred Diaz
Liam Paull
Andrea Tacchetti
47
0
0
03 Apr 2024
Operator SVD with Neural Networks via Nested Low-Rank Approximation
Operator SVD with Neural Networks via Nested Low-Rank Approximation
Jeonghun Ryu
Xiangxiang Xu
H. Erol
Yuheng Bu
Lizhong Zheng
G. Wornell
26
0
0
06 Feb 2024
On the Error-Propagation of Inexact Hotelling's Deflation for Principal
  Component Analysis
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
Sorawit Saengkyongam
J. Kim
Cruz Barnum
Anastasios Kyrillidis
22
0
0
06 Oct 2023
Enhancing multimodal cooperation via sample-level modality valuation
Enhancing multimodal cooperation via sample-level modality valuation
Yake Wei
Ruoxuan Feng
Zihe Wang
Di Hu
33
11
0
12 Sep 2023
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast
  Algorithms
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
F. Tonin
Alex Lambert
Panagiotis Patrinos
Johan A. K. Suykens
16
0
0
09 Jun 2023
Representations and Exploration for Deep Reinforcement Learning using
  Singular Value Decomposition
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
Yash Chandak
S. Thakoor
Z. Guo
Yunhao Tang
Rémi Munos
Will Dabney
Diana Borsa
24
2
0
01 May 2023
Heterogeneous-Agent Reinforcement Learning
Heterogeneous-Agent Reinforcement Learning
Yifan Zhong
J. Kuba
Xidong Feng
Siyi Hu
Jiaming Ji
Yaodong Yang
25
37
0
19 Apr 2023
A Novel Stochastic Gradient Descent Algorithm for Learning Principal
  Subspaces
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
Charline Le Lan
Joshua Greaves
Jesse Farebrother
Mark Rowland
Fabian Pedregosa
Rishabh Agarwal
Marc G. Bellemare
52
8
0
08 Dec 2022
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning
  Iterative Algorithms
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
Danimir T. Doncevic
Alexander Mitsos
Yu Guo
Qianxiao Li
Felix Dietrich
Manuel Dahmen
Ioannis G. Kevrekidis
21
7
0
22 Nov 2022
A Generalized EigenGame with Extensions to Multiview Representation
  Learning
A Generalized EigenGame with Extensions to Multiview Representation Learning
James Chapman
A. L. Aguila
Lennie Wells
24
0
0
21 Nov 2022
Spectral Representation Learning for Conditional Moment Models
Spectral Representation Learning for Conditional Moment Models
Ziyu Wang
Yucen Luo
Yueru Li
Jun Zhu
Bernhard Schölkopf
CML
36
7
0
29 Oct 2022
Principal Component Classification
Principal Component Classification
Rozenn Dahyot
24
1
0
23 Oct 2022
Neural Eigenfunctions Are Structured Representation Learners
Neural Eigenfunctions Are Structured Representation Learners
Zhijie Deng
Jiaxin Shi
Hao Zhang
Peng Cui
Cewu Lu
Jun Zhu
53
14
0
23 Oct 2022
Game Theoretic Rating in N-player general-sum games with Equilibria
Game Theoretic Rating in N-player general-sum games with Equilibria
Luke Marris
Marc Lanctot
I. Gemp
Shayegan Omidshafiei
Stephen Marcus McAleer
Jerome T. Connor
K. Tuyls
T. Graepel
20
3
0
05 Oct 2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent
  Environments
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
I. Gemp
Thomas W. Anthony
Yoram Bachrach
Avishkar Bhoopchand
Kalesha Bullard
...
Florian Strub
Andrea Tacchetti
Eugene Tarassov
Zhe Wang
K. Tuyls
LLMAG
AI4CE
46
3
0
22 Sep 2022
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering
Elise van der Pol
I. Gemp
Yoram Bachrach
Richard Everett
31
0
0
29 Jul 2022
On the Limitations of Elo: Real-World Games, are Transitive, not
  Additive
On the Limitations of Elo: Real-World Games, are Transitive, not Additive
Quentin Bertrand
Wojciech M. Czarnecki
Gauthier Gidel
21
22
0
21 Jun 2022
Pursuit of a Discriminative Representation for Multiple Subspaces via
  Sequential Games
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games
Druv Pai
Michael Psenka
Chih-Yuan Chiu
Manxi Wu
Yan Sun
Yi Ma
24
6
0
18 Jun 2022
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
I. Gemp
Chen Chen
Brian McWilliams
18
0
0
10 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for
  Neural Networks
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhiwei Deng
Olga Russakovsky
FedML
DD
41
94
0
06 Jun 2022
PixelGame: Infrared small target segmentation as a Nash equilibrium
PixelGame: Infrared small target segmentation as a Nash equilibrium
Heng Zhou
Chunna Tian
Zhenxi Zhang
Chengyang Li
Yongqiang Xie
Zhongbo Li
35
14
0
26 May 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks
NeuralEF: Deconstructing Kernels by Deep Neural Networks
Zhijie Deng
Jiaxin Shi
Jun Zhu
27
18
0
30 Apr 2022
Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement
  Learning Perspective
Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement Learning Perspective
N. Vadori
23
1
0
14 Mar 2022
Self-consistent Gradient-like Eigen Decomposition in Solving
  Schrödinger Equations
Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations
Xihan Li
Xiang Chen
Rasul Tutunov
Haitham Bou-Ammar
Lei Wang
Jun Wang
30
0
0
03 Feb 2022
Analog MIMO Communication for One-shot Distributed Principal Component
  Analysis
Analog MIMO Communication for One-shot Distributed Principal Component Analysis
Xu Chen
Erik G. Larsson
Kaibin Huang
39
4
0
04 Nov 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
J. Kuba
Ruiqing Chen
Munning Wen
Ying Wen
Fanglei Sun
Jun Wang
Yaodong Yang
44
231
0
23 Sep 2021
Speeding up PCA with priming
Speeding up PCA with priming
Bálint Máté
Franccois Fleuret
23
0
0
08 Sep 2021
A Non-Negative Matrix Factorization Game
A Non-Negative Matrix Factorization Game
Satpreet H. Singh
13
0
0
11 Apr 2021
EigenGame Unloaded: When playing games is better than optimizing
EigenGame Unloaded: When playing games is better than optimizing
I. Gemp
Brian McWilliams
Claire Vernade
T. Graepel
15
12
0
08 Feb 2021
Regularized linear autoencoders recover the principal components,
  eventually
Regularized linear autoencoders recover the principal components, eventually
Xuchan Bao
James Lucas
Sushant Sachdeva
Roger C. Grosse
42
29
0
13 Jul 2020
1