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1 - 10 of 164 search results for Economics test |u:www.mlmi.eng.cam.ac.uk where 13 match all words and 151 match some words.

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  2. Understanding Uncertainty in Bayesian Neural Networks

    https://www.mlmi.eng.cam.ac.uk/files/mphil_thesis_javier_antoran.pdf
    18 Nov 2019: The MNIST test set digits have been projected onto the latent space and are displayedwith a different colour per class. ... Fig. 2.8 MNIST test-set digits with pixels randomly dropped and corresponding VAEAC inpaintings.

  3. Fairness in Machine Learning withCausal Reasoning Philip Ball…

    https://www.mlmi.eng.cam.ac.uk/files/ball_thesis.pdf
    6 Nov 2019: Fairness in Machine Learning withCausal Reasoning. Philip Ball. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning, Speech and Language. Technology. Sidney

  4. Sum-Product Copulas

    https://www.mlmi.eng.cam.ac.uk/files/ramonacomanescu-thesis.pdf
    18 Nov 2019: SPNshave achieved competitive results on numerous tasks. A good test for deep architectures is that of image completion, where it is essential todetect deep structure.

  5. Multilingual Models in Neural Machine Translation

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/multilingual_models_in_neural_machine_translation.pdf
    24 Nov 2023: processing. 29. 4.5 Examples of translation hypotheses from the test set of WMT’21 Chinese-English. ... In this project, we test the impact of using 2 to 32 demonstrationexamples.

  6. Distributed Variational Inferenceand Privacy

    https://www.mlmi.eng.cam.ac.uk/files/dissertation_-_xiping_liu.pdf
    18 Nov 2019: Distributed Variational Inferenceand Privacy. Xiping Liu. Supervisor: Dr Richard E. Turner. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine

  7. A Policy Agnostic Framework for Post Hoc Analysis of Organ Allocation …

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/framework_for_analysis_of_organ_allocation_policies.pdf
    15 Nov 2021: 12 Background. and their rapidity in test phase compared to competing kernel methods, the network is thenoptimized through gradient descent.

  8. Better Encoders for Neural Process Family Models

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/better_encoders_for_neural_process_family_models.pdf
    6 Dec 2022: representation can be learnt. However, once meta-training has been performed, the test-. ... having the true observations passed through to make realistic predictions at test-time.

  9. thesis

    https://www.mlmi.eng.cam.ac.uk/files/james_requeima_8224681_assignsubmission_file_requeimajamesthesis.pdf
    30 Oct 2019: 53. Chapter 1. Introduction. 1.1 Optimization. Optimization problems are widespread in science, engineering, economics and finance.For example, regional electricity grid system operators (ISOs) optimise the productionof electricity (solar, wind

  10. Interpretability for Conditional Average Treatment Effect Estimation

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/interpretability_for_conditional_average_treatment_effect_estimation_-_javier_abad.pdf
    24 Jan 2022: Introduction. Inferring the causal effect of interventions is a fundamental problem in many domains,including economics, education, and healthcare.

  11. Non-Gaussian Lévy Processes in Machine Learning

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/non-gaussian_levy_processes_in_machine_learning_reduced.pdf
    25 Nov 2022: Non-Gaussian Lévy Processes inMachine Learning. Trevor Clark. Machine Learning and Machine IntelligenceDepartment of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Fitzwilliam College

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