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21 - 30 of 55 search results for Economics test |u:mlg.eng.cam.ac.uk where 12 match all words and 43 match some words.

  1. Results that match 1 of 2 words

  2. TibGM: A Transferable and Information-Based Graphical Model Approach…

    https://mlg.eng.cam.ac.uk/adrian/ICML2019-TibGM.pdf
    16 Jul 2024: Confidence intervals are shown in all the plots. Unlessnoted otherwise, each experiment was repeated 50 timesand significance has been tested via a paired t-test with sig-nificance level at 5%. ... Significance is tested usingthe same paired t-test

  3. Understanding the Bethe Approximation: When and How can it go Wrong?

    https://mlg.eng.cam.ac.uk/adrian/pabc.pdf
    16 Jul 2024: Wolfe used for all runs, aftervalidating against smaller test set usingdual decomposition with guaranteed-approx mesh method (Weller andJebara, 2014).

  4. Characterizing Tightness of LP Relaxations by Forbidding Signed Minors

    https://mlg.eng.cam.ac.uk/adrian/pminor.pdf
    16 Jul 2024: test. REFERENCES. B. Guenin. A characterization of weakly bipartite graphs. Journal of Combinatorial Theory, Series B, 83(1):112–168, 2001.

  5. Leader Stochastic Gradient Descent (LSGD) for Distributed Training of …

    https://mlg.eng.cam.ac.uk/adrian/LSGD_Poster_NeurIPS2019.pdf
    16 Jul 2024: Test error for the center variable versus wall-clock time. Figure: ResNet20 on CIFAR-10 with 4 workers (on the left) and 16 workers (on the right). ... Test error for the center variable versus wall-clock time. Figure: ResNet20 on CIFAR-10.

  6. Ten papers from the group to appear at ICML 2016 | Cambridge Machine…

    https://mlg.eng.cam.ac.uk/news/ten-papers-from-the-group-to-appear-at-icml-2016/
    3 Jul 2024: Train and Test Tightness of LP Relaxations in Structured Prediction. Ofer Meshi, Mehrdad Mahdavi, Adrian Weller and David Sontag.

  7. Structured Prediction Models for Chord Transcription of Music Audio…

    https://mlg.eng.cam.ac.uk/adrian/icmla09adrian.pdf
    16 Jul 2024: Table 2 shows p-values for paired t-tests examining outperformance of each model compared to the baseline HMMv approach. ... Figure 2 shows the TOM test accuracies for all the models trained using Hamming distance as before.

  8. ML-IRL: Machine Learning in Real Life Workshop at ICLR ...

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-CLUE.pdf
    16 Jul 2024: We evaluate the test set of fours, sevens, and nines with our BNN. ... This group was able to reach an accuracyof 88% on unseen test points.

  9. Bayesian Deep Learning via Subnetwork Inference · Cambridge MLG Blog

    https://mlg.eng.cam.ac.uk/blog/2021/07/21/subnetwork-inference.html
    12 Apr 2024: Figure 9: Results on the rotated MNIST benchmark, showing the mean $pm$ std of the test error (top) and log-likelihood (bottom) across three different seeds. ... methods. Figure 10: Results on the corrupted CIFAR-10 benchmark, showing the mean $pm$ std

  10. Exploring Properties of the Deep Image Prior Andreas…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS_2019_DIP7.pdf
    16 Jul 2024: To test the nature of these outputs we introduce a novel saliencymap approach, termed MIG-SG. ... To test this, we evaluated the sensitivity of DIP to changes innetwork architecture.

  11. Speaking Truth to Climate Change

    https://mlg.eng.cam.ac.uk/carl/climate/truth.pdf
    14 Jul 2024: The effect of the alliance is to immediately apply strong economic pressure on allcontries to reduce emissions. ... Alliance dynamics. Initially, from a purely economic perspective, it’ll be advantageous for low percapita emitting countries to join

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