Keep the gradient flowing
On the Link Between Optimization and Polynomials, Part 6.
Optimization Nuggets: Stochastic Polyak Step-size, Part 2
Optimization Nuggets: Stochastic Polyak Step-size
On the Convergence of the Unadjusted Langevin Algorithm
The Russian Roulette: An Unbiased Estimator of the Limit
Notes on the Frank-Wolfe Algorithm, Part III: backtracking line-search
On the Link Between Optimization and Polynomials, Part 5
Optimization Nuggets: Implicit Bias of Gradient-based Methods
Optimization Nuggets: Exponential Convergence of SGD
On the Link Between Optimization and Polynomials, Part 4
On the Link Between Optimization and Polynomials, Part 3
On the Link Between Optimization and Polynomials, Part 2
On the Link Between Polynomials and Optimization, Part 1
How to Evaluate the Logistic Loss and not NaN trying
Notes on the Frank-Wolfe Algorithm, Part II: A Primal-dual Analysis
Three Operator Splitting
Notes on the Frank-Wolfe Algorithm, Part I
Optimization inequalities cheatsheet
A fully asynchronous variant of the SAGA algorithm
Hyperparameter optimization with approximate gradient
Lightning v0.1
scikit-learn-contrib, an umbrella for scikit-learn related projects.
SAGA algorithm in the lightning library
On the consistency of ordinal regression methods
Holdout cross-validation generator
IPython/Jupyter notebook gallery
PyData Paris - April 2015
Data-driven hemodynamic response function estimation
Plot memory usage as a function of time
Surrogate Loss Functions in Machine Learning
Different ways to get memory consumption or lessons learned from ``memory_profiler``
Numerical optimizers for Logistic Regression
Logistic Ordinal Regression
Isotonic Regression
Householder matrices
Loss Functions for Ordinal regression
Memory plots with memory_profiler
Singular Value Decomposition in SciPy
Learning to rank with scikit-learn: the pairwise transform
line-by-line memory usage of a Python program
Low rank approximation
qr_multiply function in scipy.linalg
scikit-learn 0.9
Reworked example gallery for scikit-learn
scikit-learn’s EuroScipy 2011 coding sprint -- day two
scikit-learn EuroScipy 2011 coding sprint -- day one
Ridge regression path
LLE comes in different flavours
Manifold learning in scikit-learn
Handwritten digits and Locally Linear Embedding
Low-level routines for Support Vector Machines
new get_blas_funcs in scipy.linalg
Locally linear embedding and sparse eigensolvers
scikits.learn is now part of pythonxy
Least squares with equality constrain
A profiler for Python extensions
scikit-learn coding sprint in Paris
py3k in scikit-learn
Computing the vector norm
Smells like hacker spirit
New examples in scikits.learn 0.6
Weighted samples for SVMs
Coming soon ...
memory efficient bindigs for libsvm
solve triangular matrices using scipy.linalg
LARS algorithm
Second scikits.learn coding sprint
Support for sparse matrices in scikits.learn
Flags to debug python C extensions.
July in Paris
Support Vector machines with custom kernels using scikits.learn
Howto link against system-wide BLAS library using numpy.distutils
scikits.learn 0.2 release
Plot the maximum margin hyperplane with scikits.learn
Fast bindings for LibSVM in scikits.learn
scikits.learn coding sprint in Paris
Scikit-learn 0.1
scikit-learn project on sourceforge
After holidays
Winter in Paris is not funny
Last days in Granada
Learning, Machine Learning
Moving to Paris!
Summer of Code is over
Speed improvements for ask() (sympy.queries.ask)
Logic module (sympy.logic): improving speed
Refine module
Query module - finally in trunk
django, change language settings dynamically
can we merge now, pleeease ?
Refine module, proof of concept
Preparing a new release
Efficient DPLL algorithm
Queries and performance
Reading CNF files
Logic module merged
The boolean satisfiability problem
Initial implementation of the query system
Assumption system and automatic theorem proving. Should I be learning LISP ?
Homenaje a Antonio Vega en La Percha