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27 Jan 2023: Thesedifferent forms of uncertainty give rise to constraints on how sensoryand contextual information must be integrated over time in order to op-timally update an adaptive control system.

27 Jan 2023: P Q R STU V WX Y. 9. AB C D EF G H IJK L M N OP Q R S TU V W X Y.

13 Feb 2023: This is a highly interdisciplinary field which borrows and buildsupon ideas from statistics, computer science, engineering, cognitive science, op-timization theory and many other disciplines of science and mathematics.

13 Feb 2023: Bayesian Time Series Learning. with Gaussian Processes. Roger Frigola-AlcaldeDepartment of Engineering. St Edmund’s CollegeUniversity of Cambridge. August 2015. This dissertation is submitted for the degree ofDoctor of Philosophy. SUMMARY. The

13 Feb 2023: LETTER Communicated by Joris Mooij. Model Reductions for Inference: Generality of Pairwise,Binary, and Planar Factor Graphs. Frederik Eatonfrederik@ofb.netZoubin Ghahramanizoubin@eng.cam.ac.ukDepartment of Engineering, University of Cambridge,

13 Feb 2023: One op-tion to make the model more flexible is to add parameters to φ, which we thinkthey may be of importance. ... Maximizing the evidence using equation (2.24) is a nonlinear, non-convex op-timization problem.

13 Feb 2023: Generalised Bayesian. Matrix Factorisation Models. Shakir Mohamed. St John’s CollegeUniversity of Cambridge. THESIS. Submitted for the degree ofDoctor of Philosophy, University of Cambridge. FEBRUARY 2011. ii. I, SHAKIR MOHAMED, confirm that this

13 Feb 2023: Scalable Inference for StructuredGaussian Process Models. Yunus Saatçi. St. Edmund’s College. University of Cambridge. This dissertation is submitted for the degree of. Doctor of Philosophy. December 15, 2011. Preface. This thesis contributes to

13 Feb 2023: The Indian Buffet Process:. Scalable Inference and Extensions. Finale Doshi-Velez. A Thesis. Presented to the Fellowship of. The University of Cambridge. in Candidacy for the Degree of. Master of Science. Department of Engineering. Zoubin Ghahramani,

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