EigenGame: PCA as a Nash Equilibrium

1 October 2020

Papers citing "EigenGame: PCA as a Nash Equilibrium"

30 / 30 papers shown

Title
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 Jeonghun Ryu Xiangxiang Xu H. Erol Yuheng Bu Lizhong Zheng G. Wornell 21 0 0 06 Feb 2024
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis Sorawit Saengkyongam J. Kim Cruz Barnum Anastasios Kyrillidis 17 0 0 06 Oct 2023
Enhancing multimodal cooperation via sample-level modality valuation Yake Wei Ruoxuan Feng Zihe Wang Di Hu 27 11 0 12 Sep 2023
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 Yash Chandak S. Thakoor Z. Guo Yunhao Tang Rémi Munos Will Dabney Diana Borsa 13 2 0 01 May 2023
Heterogeneous-Agent Reinforcement Learning Yifan Zhong J. Kuba Xidong Feng Siyi Hu Jiaming Ji Yaodong Yang 20 36 0 19 Apr 2023
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 44 8 0 08 Dec 2022
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 13 7 0 22 Nov 2022
A Generalized EigenGame with Extensions to Multiview Representation Learning James Chapman A. L. Aguila Lennie Wells 19 0 0 21 Nov 2022
Spectral Representation Learning for Conditional Moment Models Ziyu Wang Yucen Luo Yueru Li Jun Zhu Bernhard Schölkopf CML 34 7 0 29 Oct 2022
Principal Component Classification Rozenn Dahyot 16 1 0 23 Oct 2022
Neural Eigenfunctions Are Structured Representation Learners Zhijie Deng Jiaxin Shi Hao Zhang Peng Cui Cewu Lu Jun Zhu 50 14 0 23 Oct 2022
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 15 3 0 05 Oct 2022
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 39 3 0 22 Sep 2022
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering Elise van der Pol I. Gemp Yoram Bachrach Richard Everett 21 0 0 29 Jul 2022
On the Limitations of Elo: Real-World Games, are Transitive, not Additive Quentin Bertrand Wojciech M. Czarnecki Gauthier Gidel 13 22 0 21 Jun 2022
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games Druv Pai Michael Psenka Chih-Yuan Chiu Manxi Wu Edgar Dobriban Y. Ma 21 6 0 18 Jun 2022
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium I. Gemp Chen Chen Brian McWilliams 16 0 0 10 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 28 92 0 06 Jun 2022
PixelGame: Infrared small target segmentation as a Nash equilibrium Heng Zhou Chunna Tian Zhenxi Zhang Chengyang Li Yongqiang Xie Zhongbo Li 27 14 0 26 May 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks Zhijie Deng Jiaxin Shi Jun Zhu 16 18 0 30 Apr 2022
Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement Learning Perspective N. Vadori 18 1 0 14 Mar 2022
Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations Xihan Li Xiang Chen Rasul Tutunov Haitham Bou-Ammar Lei Wang Jun Wang 8 0 0 03 Feb 2022
Analog MIMO Communication for One-shot Distributed Principal Component Analysis Xu Chen Erik G. Larsson Kaibin Huang 31 4 0 04 Nov 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 30 229 0 23 Sep 2021
Speeding up PCA with priming Bálint Máté Franccois Fleuret 13 0 0 08 Sep 2021
A Non-Negative Matrix Factorization Game Satpreet H. Singh 13 0 0 11 Apr 2021
EigenGame Unloaded: When playing games is better than optimizing I. Gemp Brian McWilliams Claire Vernade T. Graepel 10 12 0 08 Feb 2021
Regularized linear autoencoders recover the principal components, eventually Xuchan Bao James Lucas Sushant Sachdeva Roger C. Grosse 31 29 0 13 Jul 2020