kirk86 > readings | BibSonomy

bookmarks (hide)9
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

1Michel Goemans - Teaching
Math, Theoretical CS, Stats and Optimization courses
4 years ago by @kirk86
show all tags
course
lecture
mathematics
notes
optimization
readings
stats
website
courselecturemathematicsnotesoptimizationreadingsstatswebsite
(0)
copydelete
- community post
- history of this post
1Statistical Inference Sources
Statistical Inference Online Free Books
4 years ago by @kirk86
show all tags
book
course
learning
notes
readings
stats
website
bookcourselearningnotesreadingsstatswebsite
(0)
copydelete
- community post
- history of this post
1Mathematical Geometry by Robert Ghrist
Robert Ghrist Mathematics Goemetircal Methods Home Page
4 years ago by @kirk86
show all tags
book
lecture
mathematics
notes
readings
website
booklecturemathematicsnotesreadingswebsite
(1)
copydelete
- community post
- history of this post
1Stochastic Approximation
Stochastic Approximation Method, Robbins & Monro
4 years ago by @kirk86
show all tags
approximate
notes
optimization
readings
slides
stochastic
tutorials
approximatenotesoptimizationreadingsslidesstochastictutorials
(0)
copydelete
- community post
- history of this post
1MIA-BayesBag-talk-2019
Bagged Posterior for Robust Inference
4 years ago by @kirk86
show all tags
approximate
bayesian
readings
robustness
slides
approximatebayesianreadingsrobustnessslides
(0)
copydelete
- community post
- history of this post

⟨⟨
⟨
1
2
⟩
⟩⟩

publications (hide)558
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...

4A Tutorial on Thompson Sampling
D. Russo, B. Roy, A. Kazerouni, I. Osband, and Z. Wen. (2018)
4 years ago by @kirk86
show all tags
readings
sampling
tutorials
readingssamplingtutorials
(0)
copydeleteadd this publication to your clipboard
2Most Probable Explanations In Bayesian Networks: Complexity And Tractability
J. Kwisthout. (2011)
4 years ago by @kirk86
show all tags
bayesian
complexity
readings
uncertainty
bayesiancomplexityreadingsuncertainty
(0)
copydeleteadd this publication to your clipboard
2Fisher Information and Natural Gradient Learning in Random Deep Networks
S. Amari, R. Karakida, and M. Oizumi. Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, page 694--702. PMLR, (16--18 Apr 2019)
4 years ago by @kirk86
show all tags
deep-learning
geometry
information
optimization
readings
deep-learninggeometryinformationoptimizationreadings
(0)
copydeleteadd this publication to your clipboard
2Lower Bounds for Non-Convex Stochastic Optimization
Y. Arjevani, Y. Carmon, J. Duchi, D. Foster, N. Srebro, and B. Woodworth. (2019)cite arxiv:1912.02365.
4 years ago by @kirk86
show all tags
bounds
generalization
optimization
readings
boundsgeneralizationoptimizationreadings
(0)
copydeleteadd this publication to your clipboard
2Variational Particle Approximations
A. Saeedi, T. Kulkarni, V. Mansinghka, and S. Gershman. v18, (2017)
4 years ago by @kirk86
show all tags
approximate
bayesian
readings
variational
approximatebayesianreadingsvariational
(0)
copydeleteadd this publication to your clipboard
1A General and Adaptive Robust Loss Function
J. Barron. (2017)cite arxiv:1701.03077Comment: CVPR 2019.
4 years ago by @kirk86
show all tags
objectives
readings
robustness
objectivesreadingsrobustness
(0)
copydeleteadd this publication to your clipboard
3Lossless Compression of Deep Neural Networks
T. Serra, A. Kumar, and S. Ramalingam. (2020)cite arxiv:2001.00218Comment: Under review.
4 years ago by @kirk86
show all tags
compression
deep-learning
mixed-integer-progamming
readings
compressiondeep-learningmixed-integer-progammingreadings
(0)
copydeleteadd this publication to your clipboard
2Randomly Projected Additive Gaussian Processes for Regression
I. Delbridge, D. Bindel, and A. Wilson. (2019)cite arxiv:1912.12834.
4 years ago by @kirk86
show all tags
dimensionality-reduction
gaussian-proceses
readings
regression
dimensionality-reductiongaussian-procesesreadingsregression
(0)
copydeleteadd this publication to your clipboard
3Convex Optimization: Algorithms and Complexity
S. Bubeck. (2015)cite arxiv:1405.4980Comment: A previous version of the manuscript was titled "Theory of Convex Optimization for Machine Learning".
4 years ago by @kirk86
show all tags
convex
optimization
readings
convexoptimizationreadings
(0)
copydeleteadd this publication to your clipboard
3Convex Optimization: Algorithms and Complexity
S. Bubeck. (2015)
4 years ago by @kirk86
show all tags
convex
optimization
readings
survey
convexoptimizationreadingssurvey
(0)
copydeleteadd this publication to your clipboard
1Theoretical guarantees for approximate sampling from smooth and log-concave densities
A. Dalalyan. (2014)cite arxiv:1412.7392Comment: To appear in JRSS B.
4 years ago by @kirk86
show all tags
approximate
bayesian
readings
sampling
approximatebayesianreadingssampling
(0)
copydeleteadd this publication to your clipboard
2Lower bounds on the size of semidefinite programming relaxations
J. Lee, P. Raghavendra, and D. Steurer. (2014)cite arxiv:1411.6317.
4 years ago by @kirk86
show all tags
bounds
readings
relaxation
semidefinite-programming
boundsreadingsrelaxationsemidefinite-programming
(0)
copydeleteadd this publication to your clipboard
2High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models
M. Janzamin, and A. Anandkumar. Journal of Machine Learning Research, (2014)
4 years ago by @kirk86
show all tags
bayesian
mcmc
readings
sparsity
bayesianmcmcreadingssparsity
(0)
copydeleteadd this publication to your clipboard
2Sinkhorn Distances: Lightspeed Computation of Optimal Transport
M. Cuturi. page 2292-2300. (2013)
4 years ago by @kirk86
show all tags
divergences
optimal-transport
readings
divergencesoptimal-transportreadings
(0)
copydeleteadd this publication to your clipboard
1Community Detection and Stochastic Block Models
E. Abbe. (2015)
4 years ago by @kirk86
show all tags
clustering
information
readings
stats
stochastic
survey
clusteringinformationreadingsstatsstochasticsurvey
(0)
copydeleteadd this publication to your clipboard
2Bandit Algorithms
T. Lattimore, and C. Szepesvari. (2019)
4 years ago by @kirk86
show all tags
bandits
book
readings
banditsbookreadings
(0)
copydeleteadd this publication to your clipboard
5A Modern Introduction to Online Learning
F. Orabona. (2019)cite arxiv:1912.13213.
4 years ago by @kirk86
show all tags
online-learning
optimization
readings
online-learningoptimizationreadings
(0)
copydeleteadd this publication to your clipboard
1Fast and accurate approximation of the full conditional for gamma shape parameters
J. Miller. (2018)cite arxiv:1802.01610.
4 years ago by @kirk86
show all tags
approximate
bayesian
readings
uncertainty
approximatebayesianreadingsuncertainty
(0)
copydeleteadd this publication to your clipboard
2Quantile Propagation for Wasserstein-Approximate Gaussian Processes
R. Zhang, C. Walder, E. Bonilla, M. Rizoiu, and L. Xie. (2019)cite arxiv:1912.10200.
4 years ago by @kirk86
show all tags
approximate
bayesian
gaussian-proceses
readings
uncertainty
approximatebayesiangaussian-procesesreadingsuncertainty
(0)
copydeleteadd this publication to your clipboard
2The role of over-parametrization in generalization of neural networks
B. Neyshabur, Z. Li, S. Bhojanapalli, Y. LeCun, and N. Srebro. International Conference on Learning Representations, (2019)
4 years ago by @kirk86
show all tags
bounds
generalization
iclr2019
optimization
readings
theory
boundsgeneralizationiclr2019optimizationreadingstheory
(0)
copydeleteadd this publication to your clipboard

BibSonomy

bookmarks (hide)9
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

1Michel Goemans - Teaching

1Statistical Inference Sources

1Mathematical Geometry by Robert Ghrist

1Stochastic Approximation

1MIA-BayesBag-talk-2019

publications (hide)558
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...

4A Tutorial on Thompson Sampling

2Most Probable Explanations In Bayesian Networks: Complexity And Tractability

2Fisher Information and Natural Gradient Learning in Random Deep Networks

2Lower Bounds for Non-Convex Stochastic Optimization

2Variational Particle Approximations

1A General and Adaptive Robust Loss Function

3Lossless Compression of Deep Neural Networks

2Randomly Projected Additive Gaussian Processes for Regression

3Convex Optimization: Algorithms and Complexity

3Convex Optimization: Algorithms and Complexity

1Theoretical guarantees for approximate sampling from smooth and log-concave densities

2Lower bounds on the size of semidefinite programming relaxations

2High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models

2Sinkhorn Distances: Lightspeed Computation of Optimal Transport

1Community Detection and Stochastic Block Models

2Bandit Algorithms

5A Modern Introduction to Online Learning

1Fast and accurate approximation of the full conditional for gamma shape parameters

2Quantile Propagation for Wasserstein-Approximate Gaussian Processes

2The role of over-parametrization in generalization of neural networks

browse

related tags

concepts

tags

bookmarks (hide)9 displayallbookmarks onlybookmarks per page5102050100 sort byadded attitle RSSBibTeXXML

publications (hide)558 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

browse

related tags

tags

bookmarks (hide)9
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

publications (hide)558
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...