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11 - 20 of 51 search results for TALK:PC53 20 |u:mlg.eng.cam.ac.uk where 0 match all words and 51 match some words.

  1. Results that match 1 of 2 words

  2. Directed and Undirected Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/2018-MLSALT4-AW1-models.pdf
    19 Jun 2024: Also known as Markov random fields (MRFs) or Markov networks. 20 / 26.

  3. Network Ranking With Bethe Pseudomarginals Kui TangColumbia…

    https://mlg.eng.cam.ac.uk/adrian/2013_NeurIPS_DiscML_Network.pdf
    19 Jun 2024: 0 10 20. BP. Figure 1: Top: Expected AUCs. Bottom: Entropies of singleton marginals.

  4. Bounding the Integrality Distance ofLP Relaxations for Structured…

    https://mlg.eng.cam.ac.uk/adrian/OPT2016_paper_3.pdf
    19 Jun 2024: 1. δ. ). 8m. (20). What remains is to optimize for all posteriors simultaneously. ... j , 2j. 8m ln2. δ. (21). For each j, we assign δj , δ2(j1) probability to the probability that Equation 20 does not hold,substituting (j,δj) for (,δ).

  5. Adversarial Graph Embeddings for Fair Influence Maximization over…

    https://mlg.eng.cam.ac.uk/adrian/IJCAI20_AdversarialGraphEmbeddings.pdf
    19 Jun 2024: 10 20 30 40Number of Seeds. 0.03. 0.06. 0.09. 0.12. 0.15. ... Attr-1Attr-2Attr-1Attr-2. (a). 10 20 30 40Number of Seeds. 0. 2. 4.

  6. Understanding the Bethe Approximation: When and How can it ...

    https://mlg.eng.cam.ac.uk/adrian/abc.pdf
    19 Jun 2024: 2020 15 10 5 0 5 10 15 20. 0.18. 0.16. ... 2. 4. 6. (b) cycle0.2 0 0.20. 2. 4. 6. (c) marginal.

  7. Evaluating and Aggregating Feature-based Model Explanations

    https://mlg.eng.cam.ac.uk/adrian/IJCAI20_EvaluatingAndAggregating.pdf
    19 Jun 2024: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20). ... Nk(xtest, D) = arg minN D,|N |=k. zN. ρ(xtest, z). Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

  8. Junction Tree, BP and Variational Methods

    https://mlg.eng.cam.ac.uk/adrian/2018-MLSALT4-AW3-approx.pdf
    19 Jun 2024: 20 / 32. Message passing for a general junction tree. 1.

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

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-Counterfactual_Accuracy.pdf
    19 Jun 2024: Machine Learning Research, 20(177):1–81, 2019.

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

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-CLUE.pdf
    19 Jun 2024: We feed these proba-bilities directly into our BNNs and DGMs. We use 20-dimensional latent spaces for MNIST and8-dimensional latent spaces for COMPAS and LSAT.

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

    https://mlg.eng.cam.ac.uk/adrian/ICML2019-TibGM.pdf
    19 Jun 2024: IB(z,st,at) Epθ(z,st)[log qφ(z|st) log pθ(z)]αEp(at)KL[pθ(z|at)‖qφ(z)] (20). The first term in (18) -which can also ... time steps (10 3). 0 10 20 30 40 50. 0100200300400500600.

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