mblondel.org
Mathieu Blondel // Publications
http://www.mblondel.org/publications
Optimization for machine learning. Akinori Fujino, Naonori Ueda, Masakazu Ishihata. In Proceedings of Neural Information Processing Systems ( NIPS. Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. Masakazu Ishihata, Akinori Fujino, Naonori Ueda. In Proceedings of International Conference on Machine Learning ( ICML. Akinori Fujino, Naonori Ueda. Large-scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex. Journal of Machin...
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Chenhao Tan's Homepage - Collaborators
https://chenhaot.com/pages/collaborators.html
Daniel M. Romero. Benjamin K. Tsou. Chenhao Tan · Powered by pelican-bootstrap3.
fa.bianp.net
Publications
http://fa.bianp.net/pages/publications.html
Here are my most recent publications. A similar list can also be found in my Google Scholar profile. On the convergence rate of the three operator splitting scheme. Word meaning in the ventral visual path: a perceptial to conceptual gradient of semantic coding.". Borghesani, Valentina, Fabian Pedregosa, Marco Buiatti, Alexis Amadon, Evelyn Eger, and Manuela Piazza. NeuroImage (2016) HTTP. Asaga: Asynchronous Parallel Saga. Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien, preprint, ArXiv. Borghesani,...
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I say things - SciPy
http://fa.bianp.net/tag/scipy.html
Numerical optimizers for Logistic Regression. Mon 20 May 2013. In this post I compar several implementations of Logistic Regression. The task was to implement a Logistic Regression model using standard optimization tools from. And compare them against state of the art implementations such as LIBLINEAR. In this blog post I'll write down all the implementation details of this model, in the hope that not only the conclusions but also the process would be useful for future comparisons and benchmarks. Begin{a...
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I say things - NumPy
http://fa.bianp.net/tag/numpy.html
PyData Paris - April 2015. Tue 07 April 2015. Last Friday was PyData Paris. In words of the organizers, ' a gathering of users and developers of data analysis tools in Python' . The organizers did a great job in putting together and the event started already with a full room for Gael's. My personal highlights were (note that there were two parallel tracks). Talk on Cleaning Confused Collections of Characters. Many tips and many pointers to libraries. In particular, I discovered fixes text for you. Static...
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I say things - Job
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Job Offer: data scientist in Paris. Fri 10 July 2015. And I are looking looking for a data scientist to work on large-scale non-smooth optimization methods and other topics. You can find more information in this link. The job description is intentionally vague, and depending on the candidate this can be a postdoc-like job with most of their time devoted to research or an engineering-like job with more emphasis on coding tasks and contributing to open source projects. Page 1 / 1.
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I say things - ranking
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Thu 02 May 2013. TL;DR: I've implemented a logistic ordinal regression or proportional odds model. Here is the Python code. Model, also known as the proportional odds was introduced in the early 80s by McCullagh [. And is a generalized linear model specially tailored for the case of predicting ordinal variables, that is, variables that are discrete (as in classification) but which can be ordered (as in regression). It can be seen as an extension of the logistic regression model to the ordinal setting.
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I say things - machine learning
http://fa.bianp.net/tag/machine-learning.html
A fast, fully asynchronous variant of the SAGA algorithm. Wed 12 October 2016. My friend Rémi Leblond. Has recently uploaded to ArXiv our preprint on an asynchronous version of the SAGA optimization algorithm. The main contribution is to develop a parallel (fully asynchronous, no locks) variant of the SAGA algorighm. The core of the asynchronous algorithm is similar to Hogwild! The speedups obtained versus the sequential version are quite impressive. For example, we have observed to commonly obtain 5...
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I say things - Python
http://fa.bianp.net/tag/python.html
Fri 25 March 2016. Announce: first public release of lightning. A library for large-scale linear classification, regression and ranking in Python. The library was started a couple of years ago by Mathieu Blondel. Who also contributed the vast majority of source code. I joined recently its development and decided it was about time for a v0.1! Prebuild conda packages are available for all operating systems (god thank appveyor). More information on lightning's website. Sun 06 March 2016. Mon 22 February 2016.
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I say things - Jupyter
http://fa.bianp.net/tag/jupyter.html
Tue 21 April 2015. TL;DR I created a gallery for IPython/Jupyter notebooks. Check it out :-). A couple of months ago I put online a website that displays a collection of IPython/Jupyter notebooks. The is a website that collects user-submitted and publicly available notebooks and displays them with a nice screenshot. The great thing about this website compared to other. I would like to make a website where it is possible to. Under the hood there's a django app, for which the source code lives here. Don't ...
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