Results 1 to 10 of about 400,613 (25)

Logistic Regression as Soft Perceptron Learning [PDF]

arXiv, 2017
We comment on the fact that gradient ascent for logistic regression has a connection with the perceptron learning algorithm. Logistic learning is the "soft" variant of perceptron learning.
arxiv  

Rejoinder: New Objectives for Policy Learning [PDF]

arXiv, 2020
I provide a rejoinder for discussion of "More Efficient Policy Learning via Optimal Retargeting" to appear in the Journal of the American Statistical Association with discussion by Oliver Dukes and Stijn Vansteelandt; Sijia Li, Xiudi Li, and Alex Luedtkeand; and Muxuan Liang and Yingqi Zhao.
arxiv  

Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer? [PDF]

arXiv, 2022
We explain Poisson learning on graph-based semi-supervised learning to see if it could avoid the problem of global information loss problem as Laplace-based learning methods on large graphs. From our analysis, Poisson learning is simply Laplace regularization with thresholding, cannot overcome the problem.
arxiv  

Joint Training of Deep Boltzmann Machines [PDF]

arXiv, 2012
We introduce a new method for training deep Boltzmann machines jointly. Prior methods require an initial learning pass that trains the deep Boltzmann machine greedily, one layer at a time, or do not perform well on classifi- cation tasks.
arxiv  

Proceedings of the 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications [PDF]

arXiv, 2016
This is the Proceedings of the ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, which was held on June 24, 2016 in New York.
arxiv  

Lecture Notes: Optimization for Machine Learning [PDF]

arXiv, 2019
Lecture notes on optimization for machine learning, derived from a course at Princeton University and tutorials given in MLSS, Buenos Aires, as well as Simons Foundation, Berkeley.
arxiv  

Piecewise Linear Multilayer Perceptrons and Dropout [PDF]

arXiv, 2013
We propose a new type of hidden layer for a multilayer perceptron, and demonstrate that it obtains the best reported performance for an MLP on the MNIST dataset.
arxiv  

A Kernel for Hierarchical Parameter Spaces [PDF]

arXiv, 2013
We define a family of kernels for mixed continuous/discrete hierarchical parameter spaces and show that they are positive definite.
arxiv  

Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems [PDF]

arXiv, 2016
This is the Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems, held in Barcelona, Spain on December 9 ...
arxiv  

Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World [PDF]

arXiv, 2017
This is the Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World, held in Long Beach, California, USA on December 8 ...
arxiv