George Tucker

According to our database1, George Tucker authored at least 10 papers between 2013 and 2018.

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Bibliography

2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Mirage of Action-Dependent Baselines in Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Smoothed Action Value Functions for Learning Gaussian Policies.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Hard Alignments with Variational Inference.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Filtering Variational Objectives.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Model Compression Applied to Small-Footprint Keyword Spotting.
Proceedings of the Interspeech 2016, 2016

2014
Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach.
BMC Systems Biology, 2014

2013
A sampling framework for incorporating quantitative mass spectrometry data in protein interaction analysis.
BMC Bioinformatics, 2013


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