Sebastien
Guest post by Dan Garber and Elad Hazan: The Conditional Gradient Method, A Linear Convergent Algorithm – Part II/II
Guest post by Dan Garber and Elad Hazan: The Conditional Gradient Method, A Linear Convergent Algorithm – Part I/II
5 announcements
Thomas
There’s a new journal in town…
Academia.edu acquires Plasmyd to bring peer review into the 21st century
More on anonymity in peer review
An emerging consensus for open evaluation: 18 visions for the future of scientific publishing
Science Publishing Laboratory
Third-party review platforms
A look at the process of submitting articles to OA journals | Open Science
Steve
CRISPR
ML
Metric Learning: Some Quantum Statistical Mechanics
Music Recommendations and the Logistic Metric Embedding
There’s a new journal in town…
Academia.edu acquires Plasmyd to bring peer review into the 21st century
More on anonymity in peer review
An emerging consensus for open evaluation: 18 visions for the future of scientific publishing
Science Publishing Laboratory
Third-party review platforms
A look at the process of submitting articles to OA journals | Open Science
CRISPR
ML
Metric Learning: Some Quantum Statistical Mechanics
Music Recommendations and the Logistic Metric Embedding
Petros
Publication List Update: Signal Representations and Embeddings
Internship Openings
Larry
Stein’s Method
Jordan
RANDOM SIMPLICIAL COMPLEXES
SEBASTIAN THRUN, MOOC SKEPTIC
Djalil
About the Jensen inequality
Confined particles with singular pair repulsion
Vladimir
Nokia Emulates Pelican and Lytro Refocusing Function
SiOnyx Says Black Silicon Sensors with 2e Read Noise Possible
Superconducting Image Sensor Measures Energy of Each Photon, with Timestamp
ISORG Demos 96x96 Pixel on Plastic Sensor
Pelican Imaging Presentation
Omnivision Announces 13MP/30fps 1.12um PureCel Low Power Sensor
Christian
Bayesian essentials with R available on amazon
machine learning as buzzword
arXiv bonanza!
MCMC for non-linear state space models using ensembles of latent sequences
Herve
La cuisine note à note à la bbc :
La notion d'innovation
Muthu
Data as a Quantifiable Asset
Greg
First look at the Quonset Microwave Coffee Can Radar Kit, on sale now
Small and Short-Range Radar Systems, coming out spring 2014!
First look at the Quonset Microwave Coffee Can Radar Kit!
Alex
A useful trick for computing gradients w.r.t. matrix arguments, with some examples
Quick note on the Chen, Chi, Goldsmith covariance sketching paper
Laurent
Marseille: from the Vieux Port with hole
Kaggle
Mining data on the 'Data wizards'
Anand
the MAP perturbation framework
expected time for an optimal game of memory
dismissing research communities is counterproductive
Andrew
BDA class G+ hangout another try
Statistics is the least important part of data science
“What are some situations in which the classical approach (or a naive implementation of it, based on cookbook recipes) gives worse results than a Bayesian approach, results that actually impeded the science?”
Why ask why? Forward causal inference and reverse causal questions
I’m negative on the expression “false positives”
“Marginally significant”
Shlemiel the Software Developer and Unknown Unknowns
Doing Data Science: What’s it all about?
My talk in Amsterdam tomorrow (Wed 29 Oct): Can we use Bayesian methods to resolve the current crisis of statistically-significant research findings that don’t hold up?
Uncompressing the concept of compressed sensing
Dustin
Phase retrieval from coded diffraction patterns
A geometric intuition for the null space property
A fully automatic problem solver with human-style output
Probably Approximately Correct
Bob
The final lecture schedule
Paper of the Day (Po'D): Towards a universal representation for audio information retrieval and analysis Edition
Paper of the Day (Po'D): Multi-label sparse coding for automatic image annotation Edition
Deconstructing statistical questions and vacuous papers
Larry
Nonparametric Regression, ABC and CNN
PubMed Commons
Dirk
TGV minimizers in 1D and conditional gradient methods
The Kurdyka-Łojasiewicz inequality and gradient descent methods
Post-it for convex optimization for optimal transport, value functions, accelerated forward backward and Bayesion inversion
Tim
DBD1 — initial post
Hein
Simple Fact about Maximizing a Gaussian
Ali Rahimi’s “Random Kitchen Sinks” Video
Assorted Links
Danny
PowerLyra
Online Machine Learning Course by Alex Smola & Geoff Gordon (CMU)
Hunch's Taste Graph
Notable presentation: Datapad @ Strata NY+ PyData
The 3rd GraphLab Conference is coming!
Notable presentation: Mark Levy's Recsys talk
LSRS 2013 - A great success!
Jason
FAA Releases UAS Integration Roadmap
While on Nuit Blanche, we had:
Image Credit: NASA/JPL/Space Science Institute
Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.
Publication List Update: Signal Representations and Embeddings
Internship Openings
Larry
Stein’s Method
Jordan
RANDOM SIMPLICIAL COMPLEXES
SEBASTIAN THRUN, MOOC SKEPTIC
Djalil
About the Jensen inequality
Confined particles with singular pair repulsion
Vladimir
Nokia Emulates Pelican and Lytro Refocusing Function
SiOnyx Says Black Silicon Sensors with 2e Read Noise Possible
Superconducting Image Sensor Measures Energy of Each Photon, with Timestamp
ISORG Demos 96x96 Pixel on Plastic Sensor
Pelican Imaging Presentation
Omnivision Announces 13MP/30fps 1.12um PureCel Low Power Sensor
Christian
Bayesian essentials with R available on amazon
machine learning as buzzword
arXiv bonanza!
MCMC for non-linear state space models using ensembles of latent sequences
Herve
La cuisine note à note à la bbc :
La notion d'innovation
Muthu
Data as a Quantifiable Asset
Greg
First look at the Quonset Microwave Coffee Can Radar Kit, on sale now
Small and Short-Range Radar Systems, coming out spring 2014!
First look at the Quonset Microwave Coffee Can Radar Kit!
Alex
A useful trick for computing gradients w.r.t. matrix arguments, with some examples
Quick note on the Chen, Chi, Goldsmith covariance sketching paper
Laurent
Marseille: from the Vieux Port with hole
Kaggle
Mining data on the 'Data wizards'
Anand
the MAP perturbation framework
expected time for an optimal game of memory
dismissing research communities is counterproductive
Andrew
BDA class G+ hangout another try
Statistics is the least important part of data science
“What are some situations in which the classical approach (or a naive implementation of it, based on cookbook recipes) gives worse results than a Bayesian approach, results that actually impeded the science?”
Why ask why? Forward causal inference and reverse causal questions
I’m negative on the expression “false positives”
“Marginally significant”
Shlemiel the Software Developer and Unknown Unknowns
Doing Data Science: What’s it all about?
My talk in Amsterdam tomorrow (Wed 29 Oct): Can we use Bayesian methods to resolve the current crisis of statistically-significant research findings that don’t hold up?
Uncompressing the concept of compressed sensing
Dustin
Phase retrieval from coded diffraction patterns
A geometric intuition for the null space property
A fully automatic problem solver with human-style output
Probably Approximately Correct
Bob
The final lecture schedule
Paper of the Day (Po'D): Towards a universal representation for audio information retrieval and analysis Edition
Paper of the Day (Po'D): Multi-label sparse coding for automatic image annotation Edition
Deconstructing statistical questions and vacuous papers
Larry
Nonparametric Regression, ABC and CNN
PubMed Commons
Dirk
TGV minimizers in 1D and conditional gradient methods
The Kurdyka-Łojasiewicz inequality and gradient descent methods
Post-it for convex optimization for optimal transport, value functions, accelerated forward backward and Bayesion inversion
Tim
DBD1 — initial post
Hein
Simple Fact about Maximizing a Gaussian
Ali Rahimi’s “Random Kitchen Sinks” Video
Assorted Links
Danny
PowerLyra
Online Machine Learning Course by Alex Smola & Geoff Gordon (CMU)
Hunch's Taste Graph
Notable presentation: Datapad @ Strata NY+ PyData
The 3rd GraphLab Conference is coming!
Notable presentation: Mark Levy's Recsys talk
LSRS 2013 - A great success!
Jason
FAA Releases UAS Integration Roadmap
While on Nuit Blanche, we had:
- Sunday Morning Insight: Exploring Further the Limits of Admissibility
- Summary of Paris Machine Learning Meetup #5: Genomics and SARAH
- CSjob: Internship opening at MERL, Depth Sensing
- Parallel and distributed sparse optimization - implementation -
- A Q&A between Mahdi Soltanolkotabi and Dustin Mixon
- Phase Retrieval from masked Fourier transforms - implementation -
- Ce soir: Paris Machine Learning Meetup #5: La Génomique et l'Internet des Objets
- Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions
- Compressed Sensing with Linear Correlation Between Signal and Measurement Noise - implementation -
- Sunday Morning Insight: The Map Makers
- Sparse Spikes Deconvolution Numerical Tour - implementation -
- One million here, one million there ....
- The Block-Coordinate Update method for Advanced Matrix Factorization - implementation -
- BiG-AMP: Bilinear Generalized Approximate Message Passing - implementation -
- The Business Side of Sensors, Part Deux
- Group Discussions on LinkedIn, Reddit and Google+
- The achievable performance of convex demixing, Convexity in source separation: Models, geometry, and algorithms
- CSjob: PhD studentship Collaborative Filtering; Indraprastha Institute of Information Technology, Dehli, India
- Sunday Morning Insight: The Business Side of Sensors
- Videos: Parallel and Distributed Algorithms for Inference and Optimization
- Nuit Blanche In Review (October 2013)
- Simultaneous reconstruction of absorption and scattering using joint sparsity in diffuse optical tomography
- Task-based evaluation of segmentation algorithms for diffusion-weighted MRI without using a gold standard
- Randomized Items:Uncompressing CS, Les Houches school on "Statistical physics, Optimization, Inference and Message-Passing algorithms", Upcoming workshop on "Statistical Issues in Compressive Sensing"
- WCSCM Special Session: “Advances in data acquisition and processing techniques for health monitoring of civil infrastructure"
- Sunday Morning Insight: Structured Sparsity and Structural DNA Folding Information
- Sunday Morning Insight: Watching P vs NP
- Saturday Morning Videos: This is why we fly; a phase separator in different gravity levels; concurrent vertical two phase flow
- Startup News: GraphLab, InView Corp., Centice
- Sparse FFT implementation: FFAST, Fast Fourier Aliasing-based Sparse Transform
- Robust Sparse Signal Recovery for Compressed Sensing with Sampling and Representation Uncertainties - implementation -
- 1-Bit Matrix Completion - implementation -
- CSJob: Postdoc, imaging techniques for earthquake science and geophysics, Harvard
- The Red Wedding in Science and Technology
- CSJob: Shell-MIT Postdoctoral Researcher
- Summary: Paris Machine Learning #4, Fake and Real Bayesian Worlds
- Saturday Morning Videos: Space, Gravity, an old Geiger counter and how kilowatt-hour meters work
- Direct deconvolution of radio synthesis images using L1 minimisation - implementation -
- Implementation: EM-NN-AMP: Recovering Linearly-Constrained Non-Negative Sparse Signals
- Tonight / Ce Soir: Fourth Paris Machine Learning Meetup: Fake and Real Bayesian Worlds
- Application of compressed sensing to genome wide association studies and genomic selection
- Two postdocs: UC Davis Math, EPFL
- Around the Blogs in 78 Summer Hours: Phase transitions, infinite CS and earliest version of phase transitions ?
Image Credit: NASA/JPL/Space Science Institute
W00084967.jpg was taken on November 16, 2013 and received on Earth November 18, 2013. The camera was pointing toward SATURN-RINGS at approximately 1,998,613 miles (3,216,456 kilometers) away, and the image was taken using the CL1 and CL2 filters. This image has not been validated or calibrated.
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.
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