G. Kishan

G. Kishan

UnderGrad @ IIT Roorkee. Interested in interplay at physics and machine learning.

Tricks for Manipulating Probability

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Published:

Dexterity in probability is needed to solve the fundamental problems of machine learning and artificial intelligence. This blog aims at summing up together the various techniques applied in different probability problems to make calculations easier and, sometimes,even possible!

Overview of the blog

  • Identity Trick
  • Bounding Trick
  • Density Ratio Trick
  • Log-derivative Trick
  • Reparametrisation Trick

This blog is published at towards data science in medium. Read the complete blog here

Abstract of the paper “Competitive Gradient Descent”

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Published:

This blog explains method proposed in the paper Competitive gradient descent (Schäfer et al., 2019). This has been written as a supplimentary to the reproducibility report for reproducibility challenge of NeurIPS’19. The report has been published on arXiv. It can be seen at [https://arxiv.org/abs/2001.10820] with this github repository as its source.