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Faster Eigenvector Computation via Shift-and-Invert Preconditioning

Faster Eigenvector Computation via Shift-and-Invert Preconditioning

26 May 2016
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
ArXiv (abs)PDFHTML

Papers citing "Faster Eigenvector Computation via Shift-and-Invert Preconditioning"

50 / 2,354 papers shown
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
591
775
0
15 Nov 2017
Convolutional Normalizing Flows
Convolutional Normalizing Flows
Guoqing Zheng
Yiming Yang
J. Carbonell
BDL
136
11
0
07 Nov 2017
KGAN: How to Break The Minimax Game in GAN
KGAN: How to Break The Minimax Game in GAN
Trung Le
T. Nguyen
Dinh Q. Phung
GAN
111
1
0
06 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
658
6,365
0
02 Nov 2017
Flexible Prior Distributions for Deep Generative Models
Flexible Prior Distributions for Deep Generative Models
Yannic Kilcher
Aurelien Lucchi
Thomas Hofmann
AI4CE
109
1
0
31 Oct 2017
Latent Space Oddity: on the Curvature of Deep Generative Models
Latent Space Oddity: on the Curvature of Deep Generative Models
Georgios Arvanitidis
Lars Kai Hansen
Søren Hauberg
DRL
315
298
0
31 Oct 2017
Learning Independent Features with Adversarial Nets for Non-linear ICA
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel
Yoshua Bengio
OODCML
191
101
0
13 Oct 2017
Bayesian Hypernetworks
Bayesian Hypernetworks
David M. Krueger
Chin-Wei Huang
Riashat Islam
Ryan Turner
Alexandre Lacoste
Aaron Courville
UQCVBDL
196
143
0
13 Oct 2017
Sum-Product-Quotient Networks
Sum-Product-Quotient Networks
Or Sharir
Amnon Shashua
TPM
177
13
0
12 Oct 2017
Learnable Explicit Density for Continuous Latent Space and Variational
  Inference
Learnable Explicit Density for Continuous Latent Space and Variational Inference
Chin-Wei Huang
Ahmed Touati
Laurent Dinh
M. Drozdzal
Mohammad Havaei
Laurent Charlin
Aaron Courville
BDLDRL
222
28
0
06 Oct 2017
Generative Adversarial Networks with Inverse Transformation Unit
Generative Adversarial Networks with Inverse Transformation Unit
Zhifeng Kong
Shuo Ding
GAN
95
0
0
27 Sep 2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
B. Chang
Lili Meng
E. Haber
Lars Ruthotto
David Begert
E. Holtham
AI4CE
304
284
0
12 Sep 2017
Unsupervised Generative Modeling Using Matrix Product States
Unsupervised Generative Modeling Using Matrix Product States
Zhaoyu Han
Jun Wang
H. Fan
Lei Wang
Pan Zhang
284
291
0
06 Sep 2017
Continuous-Time Flows for Efficient Inference and Density Estimation
Continuous-Time Flows for Efficient Inference and Density Estimation
Changyou Chen
Chunyuan Li
Liquan Chen
Wenlin Wang
Yunchen Pu
Lawrence Carin
TPM
385
59
0
04 Sep 2017
Generator Reversal
Generator Reversal
Yannic Kilcher
Aurelien Lucchi
Thomas Hofmann
AI4CE
103
2
0
28 Jul 2017
f-GANs in an Information Geometric Nutshell
f-GANs in an Information Geometric Nutshell
Richard Nock
Zac Cranko
A. Menon
Zhuang Li
Robert C. Williamson
160
28
0
14 Jul 2017
The Reversible Residual Network: Backpropagation Without Storing
  Activations
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan Gomez
Mengye Ren
R. Urtasun
Roger C. Grosse
221
608
0
14 Jul 2017
Channel-Recurrent Autoencoding for Image Modeling
Channel-Recurrent Autoencoding for Image Modeling
Wenling Shang
Kihyuk Sohn
Yuandong Tian
DRLGAN
152
3
0
12 Jun 2017
Recurrent Estimation of Distributions
Recurrent Estimation of Distributions
Junier B. Oliva
Kumar Avinava Dubey
Barnabás Póczós
Eric Xing
J. Schneider
166
2
0
30 May 2017
Filtering Variational Objectives
Filtering Variational Objectives
Chris J. Maddison
Dieterich Lawson
George Tucker
N. Heess
Mohammad Norouzi
A. Mnih
Arnaud Doucet
Yee Whye Teh
FedML
469
219
0
25 May 2017
Non-parametric estimation of Jensen-Shannon Divergence in Generative
  Adversarial Network training
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training
M. Sinn
Ambrish Rawat
GAN
152
23
0
25 May 2017
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in
  Generative Models
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
Aditya Grover
Manik Dhar
Stefano Ermon
GAN
144
24
0
24 May 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image
  Generation
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
Lei Cai
Hongyang Gao
Shuiwang Ji
156
79
0
19 May 2017
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
655
1,492
0
19 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Ivo Danihelka
Balaji Lakshminarayanan
Benigno Uria
Daan Wierstra
Peter Dayan
GAN
121
54
0
15 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement
  Learning
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
Thomas M. Moerland
Joost Broekens
Catholijn M. Jonker
OffRL
323
32
0
01 May 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for
  Variational Inference
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder
Yuhuai Wu
David Duvenaud
BDL
462
213
0
27 Mar 2017
Temporal Non-Volume Preserving Approach to Facial Age-Progression and
  Age-Invariant Face Recognition
Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition
C. Duong
Kha Gia Quach
Khoa Luu
Ngan Le
Marios Savvides
139
96
0
24 Mar 2017
Inference via low-dimensional couplings
Inference via low-dimensional couplings
Alessio Spantini
Daniele Bigoni
Youssef Marzouk
352
124
0
17 Mar 2017
Sharp Minima Can Generalize For Deep Nets
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh
Razvan Pascanu
Samy Bengio
Yoshua Bengio
ODL
414
832
0
15 Mar 2017
Parallel Multiscale Autoregressive Density Estimation
Parallel Multiscale Autoregressive Density Estimation
Scott E. Reed
Aaron van den Oord
Nal Kalchbrenner
Sergio Gomez Colmenarejo
Ziyun Wang
Dan Belov
Nando de Freitas
BDL
241
216
0
10 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural
  Networks
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
Christos Louizos
Max Welling
BDL
335
484
0
06 Mar 2017
Boosted Generative Models
Boosted Generative ModelsAAAI Conference on Artificial Intelligence (AAAI), 2016
Aditya Grover
Stefano Ermon
264
51
0
27 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other ModificationsInternational Conference on Learning Representations (ICLR), 2017
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
332
991
0
19 Jan 2017
Synthesizing Normalized Faces from Facial Identity Features
Synthesizing Normalized Faces from Facial Identity FeaturesComputer Vision and Pattern Recognition (CVPR), 2017
Forrester Cole
David Belanger
Dilip Krishnan
Aaron Sarna
Inbar Mosseri
William T. Freeman
3DHCVBM
422
144
0
17 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and
  Generative Adversarial Networks
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial NetworksInternational Conference on Machine Learning (ICML), 2017
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GANBDL
413
559
0
17 Jan 2017
Maximum Entropy Flow Networks
Maximum Entropy Flow NetworksInternational Conference on Learning Representations (ICLR), 2017
Gabriel Loaiza-Ganem
Yuanjun Gao
John P. Cunningham
187
29
0
12 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
601
1,795
0
31 Dec 2016
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
Alexander Kolesnikov
Christoph H. Lampert
GAN
208
3
0
24 Dec 2016
Recurrent Image Captioner: Describing Images with Spatial-Invariant
  Transformation and Attention Filtering
Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering
Hao Liu
Yang Yang
Fumin Shen
Lixin Duan
Heng Tao Shen
151
9
0
15 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSLDRL
356
689
0
29 Nov 2016
Bottleneck Conditional Density Estimation
Bottleneck Conditional Density Estimation
Rui Shu
Hung Bui
Mohammad Ghavamzadeh
BDL
211
24
0
25 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction
Deep Variational Inference Without Pixel-Wise Reconstruction
Siddharth Agrawal
Ambedkar Dukkipati
DRL3DVBDL
138
13
0
16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani
Kundan Kumar
Faruk Ahmed
Adrien Ali Taïga
Francesco Visin
David Vazquez
Aaron Courville
DRLSSLBDL
242
354
0
15 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu
Yuri Burda
Ruslan Salakhutdinov
Roger C. Grosse
GAN
310
225
0
14 Nov 2016
A Connection between Generative Adversarial Networks, Inverse
  Reinforcement Learning, and Energy-Based Models
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn
Paul Christiano
Pieter Abbeel
Sergey Levine
OffRLAI4CEGAN
260
373
0
11 Nov 2016
Variational Lossy Autoencoder
Variational Lossy Autoencoder
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRLSSLGAN
417
693
0
08 Nov 2016
Normalizing Flows on Riemannian Manifolds
Normalizing Flows on Riemannian Manifolds
Mevlana Gemici
Danilo Jimenez Rezende
S. Mohamed
BDL
303
112
0
07 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
438
1,055
0
07 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
1.1K
3,434
0
30 Oct 2016
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