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You are here		enginius.tistory.com Uncertainty-related paper
\|	\|	sander.ai Slides for my talk at the Deep Learning London meetup - Sander Dieleman	2.1 parsecs away Travel
\|	\|	Slides for my talk at the Deep Learning London meetup	2.1 parsecs away Travel
\|	\|	dustintran.com MuProp: Unbiased Backpropagation for Stochastic Neural Networks \| Dustin Tran	4.0 parsecs away Travel
\|	\|	Having recently finished some papers with Rajesh Ranganath and Dave Blei on variational models [1] [2], I'm now a bit free to catch up on my reading of recen...	4.0 parsecs away Travel
\|	\|	blog.evjang.com Eric Jang: Summary of NIPS 2016	4.2 parsecs away Travel
\|	\|	The 30th annual Neural Information Processing Systems (NIPS) conference took place in Barcelona in early December. In this post, I share my ...	4.2 parsecs away Travel
\|	\|	blog.evjang.com Eric Jang: Tips for Training Likelihood Models	23.5 parsecs away Travel
\|		This is a tutorial on common practices in training generative models that optimize likelihood directly, such as autoregressive models and ...	23.5 parsecs away Travel