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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
AlignFlow: Cycle Consistent Learning from Multiple Domains via
  Normalizing Flows
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing FlowsAAAI Conference on Artificial Intelligence (AAAI), 2019
Aditya Grover
Christopher Chute
Rui Shu
Zhangjie Cao
Stefano Ermon
OODDRL
184
71
0
30 May 2019
Semi-Implicit Generative Model
Semi-Implicit Generative Model
Mingzhang Yin
Mingyuan Zhou
VLMGAN
152
3
0
29 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Kaushalya Madhawa
Katushiko Ishiguro
Kosuke Nakago
Motoki Abe
BDL
236
212
0
28 May 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias
Invertible generative models for inverse problems: mitigating representation error and dataset biasInternational Conference on Machine Learning (ICML), 2019
Muhammad Asim
Max Daniels
Oscar Leong
Ali Ahmed
Paul Hand
437
167
0
28 May 2019
Validation of Approximate Likelihood and Emulator Models for
  Computationally Intensive Simulations
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive SimulationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Niccolò Dalmasso
Ann B. Lee
Rafael Izbicki
T. Pospisil
Ilmun Kim
Chieh-An Lin
210
9
0
27 May 2019
Kernel Conditional Density Operators
Kernel Conditional Density OperatorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Ingmar Schuster
Mattes Mollenhauer
Stefan Klus
Krikamol Muandet
220
28
0
27 May 2019
Classification Accuracy Score for Conditional Generative Models
Classification Accuracy Score for Conditional Generative ModelsNeural Information Processing Systems (NeurIPS), 2019
Suman V. Ravuri
Oriol Vinyals
EGVM
406
260
0
26 May 2019
Variational Bayes: A report on approaches and applications
Variational Bayes: A report on approaches and applications
Srikar Yellapragada
K. C. Prakash
BDLUQCV
77
3
0
26 May 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation
  and Bayesian Inference
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian InferenceAAAI Conference on Artificial Intelligence (AAAI), 2019
Jakob Kruse
Gianluca Detommaso
Ullrich Kothe
Robert Scheichl
295
47
0
25 May 2019
The Variational InfoMax AutoEncoder
The Variational InfoMax AutoEncoderIEEE International Joint Conference on Neural Network (IJCNN), 2019
Vincenzo Crescimanna
Bruce P. Graham
DRL
164
3
0
25 May 2019
Generative Latent Flow
Generative Latent Flow
Zhisheng Xiao
Qing Yan
Y. Amit
DRL
110
15
0
24 May 2019
Fully Hyperbolic Convolutional Neural Networks
Fully Hyperbolic Convolutional Neural NetworksResearch in the Mathematical Sciences (RMS), 2019
Keegan Lensink
Bas Peters
E. Haber
MedIm
219
24
0
24 May 2019
Discrete Flows: Invertible Generative Models of Discrete Data
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran
Keyon Vafa
Kumar Krishna Agrawal
Laurent Dinh
Ben Poole
DRL
308
123
0
24 May 2019
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Fast Flow Reconstruction via Robust Invertible nxn ConvolutionFuture Internet (FI), 2019
Thanh-Dat Truong
Khoa Luu
C. Duong
Ngan Le
M. Tran
250
7
0
24 May 2019
Compression with Flows via Local Bits-Back Coding
Compression with Flows via Local Bits-Back CodingNeural Information Processing Systems (NeurIPS), 2019
Jonathan Ho
Evan Lohn
Pieter Abbeel
251
61
0
21 May 2019
Non-Autoregressive Neural Text-to-Speech
Non-Autoregressive Neural Text-to-Speech
Kainan Peng
Ming-Yu Liu
Z. Song
Kexin Zhao
227
40
0
21 May 2019
Minimal Achievable Sufficient Statistic Learning
Minimal Achievable Sufficient Statistic LearningInternational Conference on Machine Learning (ICML), 2019
Milan Cvitkovic
Günther Koliander
271
13
0
19 May 2019
Integer Discrete Flows and Lossless Compression
Integer Discrete Flows and Lossless CompressionNeural Information Processing Systems (NeurIPS), 2019
Emiel Hoogeboom
Jorn W. T. Peters
Rianne van den Berg
Max Welling
540
172
0
17 May 2019
Leveraging exploration in off-policy algorithms via normalizing flows
Leveraging exploration in off-policy algorithms via normalizing flowsConference on Robot Learning (CoRL), 2019
Bogdan Mazoure
T. Doan
A. Durand
R. Devon Hjelm
Joelle Pineau
OnRL
285
71
0
16 May 2019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with
  Hierarchical Latent Variables
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent VariablesInternational Conference on Machine Learning (ICML), 2019
F. Kingma
Pieter Abbeel
Jonathan Ho
345
106
0
16 May 2019
MoGlow: Probabilistic and controllable motion synthesis using
  normalising flows
MoGlow: Probabilistic and controllable motion synthesis using normalising flowsACM Transactions on Graphics (TOG), 2019
G. Henter
Simon Alexanderson
Jonas Beskow
320
103
0
16 May 2019
DeepFlow: History Matching in the Space of Deep Generative Models
DeepFlow: History Matching in the Space of Deep Generative Models
L. Mosser
O. Dubrule
M. Blunt
196
16
0
14 May 2019
Importance Weighted Hierarchical Variational Inference
Importance Weighted Hierarchical Variational InferenceNeural Information Processing Systems (NeurIPS), 2019
Artem Sobolev
Dmitry Vetrov
BDL
166
32
0
08 May 2019
Generative Model with Dynamic Linear Flow
Generative Model with Dynamic Linear FlowIEEE Access (IEEE Access), 2019
Huadong Liao
Jiawei He
Kun-xian Shu
DRL
117
5
0
08 May 2019
Sum-of-Squares Polynomial Flow
Sum-of-Squares Polynomial FlowInternational Conference on Machine Learning (ICML), 2019
P. Jaini
Kira A. Selby
Yaoliang Yu
TPM
329
148
0
07 May 2019
Label-Noise Robust Multi-Domain Image-to-Image Translation
Label-Noise Robust Multi-Domain Image-to-Image Translation
Takuhiro Kaneko
Tatsuya Harada
154
3
0
06 May 2019
3D Packing for Self-Supervised Monocular Depth Estimation
3D Packing for Self-Supervised Monocular Depth EstimationComputer Vision and Pattern Recognition (CVPR), 2019
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Sudeep Pillai
Allan Raventos
Adrien Gaidon
SSL3DPCMDE
626
750
0
06 May 2019
FaceShapeGene: A Disentangled Shape Representation for Flexible Face
  Image Editing
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing
Sen-Zhe Xu
Haozhi Huang
Shimin Hu
Wei Liu
CVBM
113
5
0
06 May 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent SettingsIEEE International Conference on Computer Vision (ICCV), 2019
Nicholas Rhinehart
R. McAllister
Kris Kitani
Sergey Levine
401
395
0
03 May 2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning
Semi-Conditional Normalizing Flows for Semi-Supervised Learning
Andrei Atanov
Alexandra Volokhova
Arsenii Ashukha
Ivan Sosnovik
Dmitry Vetrov
BDL
317
43
0
01 May 2019
Similarity of Neural Network Representations Revisited
Similarity of Neural Network Representations RevisitedInternational Conference on Machine Learning (ICML), 2019
Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
1.3K
1,798
0
01 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
On Scalable and Efficient Computation of Large Scale Optimal TransportInternational Conference on Machine Learning (ICML), 2019
Yujia Xie
Minshuo Chen
Haoming Jiang
T. Zhao
H. Zha
OT
451
46
0
01 May 2019
Exponential Family Estimation via Adversarial Dynamics Embedding
Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai
Ziqiang Liu
H. Dai
Niao He
Arthur Gretton
Le Song
Dale Schuurmans
304
56
0
27 Apr 2019
Machine Learning Tips and Tricks for Power Line Communications
Machine Learning Tips and Tricks for Power Line Communications
Andrea M. Tonello
N. A. Letizia
Davide Righini
Francesco Marcuzzi
193
33
0
24 Apr 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward
  Energy-Based Model
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
413
229
0
22 Apr 2019
Conditionally structured variational Gaussian approximation with
  importance weights
Conditionally structured variational Gaussian approximation with importance weights
Linda S. L. Tan
Aishwarya Bhaskaran
David J. Nott
282
13
0
21 Apr 2019
Effective Estimation of Deep Generative Language Models
Effective Estimation of Deep Generative Language Models
Tom Pelsmaeker
Wilker Aziz
BDL
252
28
0
17 Apr 2019
High-dimensional copula variational approximation through transformation
High-dimensional copula variational approximation through transformation
M. Smith
Rubén Loaiza-Maya
David J. Nott
247
37
0
16 Apr 2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic
  Grasping
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping
Mengyuan Yan
A. Li
Mrinal Kalakrishnan
P. Pastor
158
20
0
15 Apr 2019
Copula-like Variational Inference
Copula-like Variational Inference
Marcel Hirt
P. Dellaportas
Alain Durmus
196
6
0
15 Apr 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
465
1,083
0
15 Apr 2019
Generative Hybrid Representations for Activity Forecasting with
  No-Regret Learning
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
Jiaqi Guan
Ye Yuan
Kris Kitani
Nicholas Rhinehart
AI4TS
218
32
0
12 Apr 2019
Supervised Anomaly Detection based on Deep Autoregressive Density
  Estimators
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators
Tomoharu Iwata
Yuki Yamanaka
127
13
0
12 Apr 2019
Autoregressive Energy Machines
Autoregressive Energy Machines
C. Nash
Conor Durkan
130
57
0
11 Apr 2019
Energy-Based Continuous Inverse Optimal Control
Energy-Based Continuous Inverse Optimal Control
Yifei Xu
Jianwen Xie
Tianyang Zhao
Chris L. Baker
Yibiao Zhao
Ying Nian Wu
491
20
0
10 Apr 2019
Block Neural Autoregressive Flow
Block Neural Autoregressive Flow
Nicola De Cao
Ivan Titov
Wilker Aziz
DRL
224
135
0
09 Apr 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic
  Segmentation
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Hermann Blum
Paul-Edouard Sarlin
Juan I. Nieto
Roland Siegwart
Cesar Cadena
UQCV
395
180
0
05 Apr 2019
A Learned Representation for Scalable Vector Graphics
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo-Lopes
David R Ha
Douglas Eck
Jonathon Shlens
GANOCL
198
134
0
04 Apr 2019
Density Matching for Bilingual Word Embedding
Density Matching for Bilingual Word Embedding
Chunting Zhou
Xuezhe Ma
Di Wang
Graham Neubig
252
40
0
04 Apr 2019
Conditional Adversarial Generative Flow for Controllable Image Synthesis
Conditional Adversarial Generative Flow for Controllable Image Synthesis
R. Liu
Yu Liu
Xinyu Gong
Xiaogang Wang
Jiaming Song
184
46
0
03 Apr 2019
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