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06/11/2021
Recovery of Meteorites Using an Autonomous Drone and Machine Learning
The recovery of freshly fallen meteorites from tracked and triangulated ...
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11/30/2019
Urban Driving with Conditional Imitation Learning
Hand-crafting generalised decision-making rules for real-world urban aut...
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07/01/2018
Learning to Drive in a Day
We demonstrate the first application of deep reinforcement learning to a...
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11/23/2015
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
We develop parallel predictive entropy search (PPES), a novel algorithm ...
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11/20/2015
Unitary Evolution Recurrent Neural Networks
Recurrent neural networks (RNNs) are notoriously difficult to train. Whe...
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11/17/2015
Predictive Entropy Search for Multi-objective Bayesian Optimization
We present PESMO, a Bayesian method for identifying the Pareto set of mu...
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06/26/2015
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process
Stochastic variational inference (SVI) is emerging as the most promising...
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02/18/2014
Student-t Processes as Alternatives to Gaussian Processes
We investigate the Student-t process as an alternative to the Gaussian p...
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09/26/2013
