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  2. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/slides_msr2.pdf
    19 Jun 2024: 24 / 21. Error in log Z vs number of clamps: complete graphs. ... 24 / 21. Time (secs) vs error in log Z for various methods.
  3. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/newsclamp.pdf
    19 Jun 2024: 0.1. 0.2. 0.3. 0.4. max interaction strength W 24 / 19.
  4. https://www.ermc.cam.ac.uk/2018/01/supervisors-training-day/feed/

    https://www.ermc.cam.ac.uk/2018/01/supervisors-training-day/feed/
    19 Jun 2024: Comments on: Supervisors’ Training Day with Ed Kessler, Director of the Woolf Institute https://www.ermc.cam.ac.uk/2018/01/supervisors-training-day/ Wed, 24 Jan 2018 12:32:17
  5. Dr Adam Pellegrini wins a prestigious research grant – Newnham College

    https://newn.cam.ac.uk/newnham-news/dr-adam-pellegrini-wins-a-prestigious-research-grant/
    19 Jun 2024: storage. Using new tools to help manage 24 million square km of drylands can help model the future of soils in the world’s savanna-grasslands.
  6. Blind Justice: Fairness with Encrypted Sensitive Attributes

    https://mlg.eng.cam.ac.uk/adrian/poster_ICML18_BlindJustice.pdf
    19 Jun 2024: Bank. Datasets and Feasibility. Adult Bank COMPAS German SQFn training examples 214 215 212 29 216d features 51 62 7 24 23p sensitive attributes 1 1 7 1 1certification 802 ms
  7. Cambridge Zero takes centre stage at Climate Week NYC |…

    https://www.zero.cam.ac.uk/who-we-are/blog/news/cambridge-zero-takes-centre-stage-climate-week-nyc
    19 Jun 2024: Professor Shuckburgh (Trinity and Darwin) will be at Climate Week NYC  (17-24 September) to discuss how to address the challenges the world faces in keeping global temperatures to 1.5
  8. Now You See Me (CME): Concept-based Model Extraction

    https://mlg.eng.cam.ac.uk/adrian/AIMLAI20-CME.pdf
    19 Jun 2024: Model ExtractionModel extraction techniques use rules [20, 21, 22], de-cision trees [23, 24], or other more readily explainablemodels [25] to approximate complex models, in orderto study their behaviour. ... 24] M. Sato, H. Tsukimoto, Rule extraction
  9. Geometrically Coupled Monte Carlo Sampling Mark Rowland∗University of …

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS18-gcmc.pdf
    19 Jun 2024: Geometrically Coupled Monte Carlo Sampling. Mark RowlandUniversity of Cambridgemr504@cam.ac.uk. Krzysztof ChoromanskiGoogle Brain Roboticskchoro@google.com. François ChalusUniversity of Cambridgechalusf3@gmail.com. Aldo PacchianoUniversity of
  10. Uprooting and Rerooting Higher-Order GraphicalModels Mark…

    https://mlg.eng.cam.ac.uk/adrian/uprooting-higher-order.pdf
    19 Jun 2024: 4], which relates to generalized belief propagation,24) and MAP inference (using loopy belief propagation, LBP [9]). ... InArtificial Intelligence and Statistics (AISTATS), 2016. [24] J. Yedidia, W. Freeman, and Y.
  11. Unifying Orthogonal Monte Carlo Methods

    https://mlg.eng.cam.ac.uk/adrian/ICML2019-unified.pdf
    19 Jun 2024: E[x̃λỹλx̃λvỹλv x̃. 2λỹ. 2λv. ] (24)We next show the following. Lemma A.7.

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