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MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

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Thanks for developing such a library. I am trying to learn the SGD through the demon, it helps me a lot. But when I try to run this demo(test_l1_linear_regression.m), the...

Dear Prof. Hiroyuki KASAI, I have some confusion about the damping scheme in obfgs. You gave a citation of Wang et al. 's "Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization,"...

Hi @hiroyuki-kasai , Thanks for publishing this project. This looks great and I would like do some research with this toolbox. My trouble is in the sgd_cm.m. It looks like...

It seems to me that the experiment in demo_paper.m has a mismatch between the result and setting. ![image](https://user-images.githubusercontent.com/10891654/50022008-7950f880-ffa0-11e8-8e49-2171a28e5764.png) Should the variable be info_sag instead? Also, I am wondering if the...

Hello, @hiroyuki-kasai Thank you for creating this project with a wide variety of algorithms. I went through the code in linear_regression_data_generator.m and was not quite clear how the data is...

Hello, this library is really good. I am now learning machine learning algorithms. It helps me a lot and I have some problems. When I was learning this library, I...

Greetings Hiroyuki, I'm so excited to have come across such a rich library in SGD, thank you for these great project. I'm currently learning Python, Matlab and Machine Learning for...

Thanks for developing such a library. When trying to use it, I found that when I change the values of "d" and "n" in the file "demo.m", there will be...

Greetings, First, I would like to thank you for creating such a nice project with so many optimization algorythms! I'm currently trying to port the online memory limited BFGS algorythm...