Author Archives: zhanxing

About zhanxing

Ph.D student in Machine Learning, University of Edinburgh, UK.

Recent developments in Deep Learning

Recently, I watched Hinton’s talk on recent developments in deep learning. Main points are as below: 1. Replace sigmoid function with rectified linear function: easily for training and test, plus efficient.  2. Dropout training and test could improve accuracy significantly, … Continue reading

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Con­di­tional Gra­di­ent Descent (a.k.a. Frank-Wolfe algorithm)

Recently, I read Martin Wainwright’s old paper: A new class of upper bounds on the log partition function, and found that conditional gradient was used in his paper to optimize edge appearance probability.  Sébastien Bubeck gave a nice introduction on … Continue reading

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Connection between prediction market and stochastic mirror descent

My Ph.D research topic is about machine learning market, primarily trying to apply market mechanism into machine learning to drive efficient and large-scale machine learning tasks, for example, we have used prediction market mechanism to do belief aggregation. We treat … Continue reading

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