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thesis
https://www.mlmi.eng.cam.ac.uk/files/burt_thesis.pdf6 Nov 2019: plotted for a synthetic data set with N = 200, x N(0,52) and s = 5. ... 1.2 that holds for large N plotted for a syntheticdata set with N = 200, x N(0,52) and s = 5. -
Investigating Inference in BayesianNeural Networks via Active…
https://www.mlmi.eng.cam.ac.uk/files/riccardo_barbano_dissertation_mlmi.pdf18 Nov 2019: Initially, we train on200 labelled data-points, and progress in batches of 50 with a budget of 200. ... 200 epochs are used to guarantee convergence. 40. 7 A More Complex Dataset. -
Pathologies of Deep Sparse Gaussian Process Regression
https://www.mlmi.eng.cam.ac.uk/files/diaz_thesis.pdf30 Oct 2019: Pathologies of Deep SparseGaussian Process Regression. Sergio Pascual Díaz. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Fitzwilliam College August 2017. Declaration. I, -
Overcoming Catastrophic Forgetting in Neural Machine Translation
https://www.mlmi.eng.cam.ac.uk/files/kell_thesis.pdf6 Nov 2019: Overcoming Catastrophic Forgetting inNeural Machine Translation. Gregory Kell. Department of Engineering. University of Cambridge. This dissertation is submitted for the degree of. MPhil Machine Learning Speech and Language Technology. Wolfson -
Tradeoffs in Neural Variational Inference
https://www.mlmi.eng.cam.ac.uk/files/cruz_dissertation.pdf30 Oct 2019: The celebA dataset ([39]) consists of more than 200,000 images of celebrity faces. ... For ourwork, we consider 200,000 of these which we split as follows:. • -
Improving Sample Efficiency forGradient-based Policy Optimisation;…
https://www.mlmi.eng.cam.ac.uk/files/wang_dissertation.pdf30 Oct 2019: Improving Sample Efficiency forGradient-based Policy Optimisation;. with an Application to Structured PolicyFunctions. Sihui Wang. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy -
Extending and Applying the GaussianProcess Autoregressive Regression…
https://www.mlmi.eng.cam.ac.uk/files/mlmi_thesis_justin_bunker.pdf18 Nov 2019: Extending and Applying the GaussianProcess Autoregressive Regression. Model. Justin Bunker. Supervisor:Dr. Richard E. Turner. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in -
Bayesian Neural Networks for K-Shot Learning
https://www.mlmi.eng.cam.ac.uk/files/swiatkowski_dissertation.pdf30 Oct 2019: prior) 200.6 0.4GMM 1-mean (iso) 175.5 0.2. 1-. -
1 Automatically Grading Learners’ English using a Deep Gaussian ...
https://www.mlmi.eng.cam.ac.uk/files/sebastian_popescu_8224831_assignsubmission_file_sgp34_sebastiangabrielpopescu.pdf30 Oct 2019: 1. Automatically Grading Learners’. English using a Deep Gaussian Process. Sebastian Gabriel Popescu. Department of Engineering. University of Cambridge. A dissertation submitted to the University of Cambridge in partial. fulfilment of the -
Bayes By Backprop Neural Networks forDialogue Management Christopher…
https://www.mlmi.eng.cam.ac.uk/files/tegho_dissertation.pdf30 Oct 2019: Bayes By Backprop Neural Networks forDialogue Management. Christopher Tegho. Queens’ College. MPhil Machine Learning,Speech and Language Technology. August 11th, 2017Cambridge University. I, Christopher Tegho of Queens’ college, being a
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