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61 - 70 of 78 search results for Economics test |u:mlg.eng.cam.ac.uk where 12 match all words and 66 match some words.

  1. Results that match 1 of 2 words

  2. Blind Justice: Fairness with Encrypted Sensitive Attributes

    https://mlg.eng.cam.ac.uk/adrian/ICML18-BlindJustice.pdf
    19 Jun 2024: Figure 2 shows the test set accuracyover the constraint value. By design, the synthetic datasetexhibits a clear trade-off between accuracy and fairness. ... Biddle, D. Adverse impact and test validation: A practi-tioner’s guide to valid and defensible

  3. You Shouldn’t Trust Me: Learning Models WhichConceal Unfairness From…

    https://mlg.eng.cam.ac.uk/adrian/ECAI20-You_Shouldn%E2%80%99t_Trust_Me.pdf
    19 Jun 2024: Each histogramrepresents the ranking across the test set assigned by the designated feature importance method. ... These results suggest that ourattack is successful in generalising across unseen test points.

  4. Geometrically Coupled Monte Carlo Sampling Mark Rowland∗University of …

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS18-gcmc.pdf
    19 Jun 2024: 5.2 Variance-reduced ELBO estimation for deep generative models. In this section, we test GCMC sampling strategies on a deep generative modelling application. ... 10. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, and

  5. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1617/cw/coursework3.pdf
    19 Nov 2023: What is theexpression for the predictive distribution? e) 10% : What is the log probability for the test document with ID 2001? ... Explain whether, whencomputing the log probability of a test document, you would use the multinomial with or withoutthe

  6. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/cw/coursework3.pdf
    19 Nov 2023: What is theexpression for the predictive distribution? e) 10% : What is the log probability for the test document with ID 2001? ... Explain whether, whencomputing the log probability of a test document, you would use the multinomial with or without

  7. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf
    19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •

  8. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/cw/coursework3.pdf
    19 Nov 2023: What is theexpression for the predictive distribution? e) 10% : What is the log probability for the test document with ID 2001? ... Explain whether, whencomputing the log probability of a test document, you would use the multinomial with or without

  9. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/cw/coursework3.pdf
    19 Nov 2023: What is theexpression for the predictive distribution? e) 10% : What is the log probability for the test document with ID 2001? ... Explain whether, whencomputing the log probability of a test document, you would use the multinomial with or withoutthe

  10. Evaluating and Aggregating Feature-based Model Explanations

    https://mlg.eng.cam.ac.uk/adrian/IJCAI20_EvaluatingAndAggregating.pdf
    19 Jun 2024: For Iris [Dua and Graff, 2017], we train our modelto 96% test accuracy. ... 45). Table 2: Faithfulness µF averaged over a test set: (Zero Baseline,Training Average Baseline).

  11. Modelling data

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/modelling%20data.pdf
    19 Nov 2023: generalize from observations in the training set to new test cases(interpolation and extrapolation). • ... make predictions on test cases• interpret the trained model, what insights is the model providing?• evaluate the accuracy of model. •

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