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12/10/2019
Measuring the Reliability of Reinforcement Learning Algorithms
Lack of reliability is a well-known issue for reinforcement learning (RL...
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02/20/2019
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following
Reinforcement learning is a promising framework for solving control prob...
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11/30/2016
Speed/accuracy trade-offs for modern convolutional object detectors
The goal of this paper is to serve as a guide for selecting a detection ...
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06/14/2015
Bayesian Dark Knowledge
We consider the problem of Bayesian parameter estimation for deep neural...
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03/05/2015
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC
Despite having various attractive qualities such as high prediction accu...
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04/19/2013
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Can we make Bayesian posterior MCMC sampling more efficient when faced w...
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06/27/2012