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Deep Learning without Poor Local Minima
(2016-05-23)
In this paper, we prove a conjecture published in 1989 and also partially address an open problem announced at the Conference on Learning Theory (COLT) 2015. For an expected loss function of a deep nonlinear neural network, ...
Towards Understanding Generalization via Analytical Learning Theory
(2018-10-01)
This paper introduces a novel measure-theoretic theory for machine learning
that does not require statistical assumptions. Based on this theory, a new
regularization method in deep learning is derived and shown to ...
Probability of Wellbore Failure and its Prediction Using Machine Learning
(AUST, 2019-06-09)
Wellbore instability (WI) is one of the major challenges experienced during drilling operations costing the oil and gas industry over $1 billion yearly. During the drilling, borehole breakout and drilling induced fractures ...