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GILBO: One Metric to Measure Them All
Alexander A. Alemi, Ian Fischer
Neural Information Processing Systems http://nips.cc/
525bd8aedafa375564f73bacdef411e5-Paper-Datasets_and_Benchmarks_Track.pdf
Mutual Information (MI) is a fundamental metric for quantifying dependency between two random variables.
Sparse PCA from Sparse Linear Regression
Guy Bresler, Sung Min Park, Madalina Persu
SLR, but an explicit connection between the two had not been made.
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function
Aviv Rosenberg, Yishay Mansour
We consider online learning in episodic loop-free Markov decision processes (MDPs), where the loss function can change arbitrarily between episodes.
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives
Neural Information Processing Systems http://nips.cc/
Learning Task Specifications from Demonstrations
Marcell Vazquez-Chanlatte, Susmit Jha, Ashish Tiwari, Mark K. Ho, Sanjit Seshia
Neural Information Processing Systems http://nips.cc/
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
Bart van Merrienboer, Dan Moldovan, Alexander Wiltschko
Manyapplicationsinmachine learning relyongradient-based optimization, oratleasttheefficient calculation of derivatives of models expressed as computer programs. Researchers have a wide variety of tools from which they can choose, particularly if they are using the Python language [21,16,24,2,1].
Network Pruning via Transformable Architecture Search
Neural Information Processing Systems http://nips.cc/