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

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.

**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.

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