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  2. 13 Dec 2023: Hong Ge. Principal Investigator. Senior Research Fellow. atFellow of Darwin college. Email: hg344 [at] cam [dot] ac [dot] uk. I am a Senior Research Fellow in the Department of Engineering at the University of Cambridge. I lead the Turing language
  3. https://mlg.eng.cam.ac.uk/people/index.xml

    https://mlg.eng.cam.ac.uk/people/index.xml
    10 Apr 2024: Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/ Cambridge Machine Learning Group Wowchemy (https://wowchemy.com) en-us ... 300x300_fit_lanczos_3.png Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/.
  4. What should we do about Climate Change?

    https://mlg.eng.cam.ac.uk/carl/climate/
    28 Jun 2024: Most people agree that the atmosphere is a common asset, shared by us all.
  5. Quantifying climate change: Degree Person Days

    https://mlg.eng.cam.ac.uk/carl/climate/dpd.html
    28 Jun 2024: We are 8000 million people on earth enjoying the climate, there are 365 days in a year and CO. ... Therefore:. 0.45 ton / 7800 million ton per ppm 0.01 C / ppm 8000 million people 365 days per year 300 years = 500 degree person days.
  6. https://mlg.eng.cam.ac.uk/people/hong-ge/index.xml

    https://mlg.eng.cam.ac.uk/people/hong-ge/index.xml
    10 Apr 2024: Hong Ge | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/hong-ge/ Hong Ge Wowchemy (https://wowchemy.com) en-us ... ge/avatar_huf0bdcbefe50acb86aa6fdef1240269ab_174405_270x270_fill_lanczos_center_3.png Hong Ge
  7. https://mlg.eng.cam.ac.uk/people/chao-ma/index.xml

    https://mlg.eng.cam.ac.uk/people/chao-ma/index.xml
    10 Apr 2024: Chao Ma | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/chao-ma/ Chao Ma Wowchemy (https://wowchemy.com) en-us ... ma/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Chao Ma
  8. Sustainable Growth

    https://mlg.eng.cam.ac.uk/carl/words/growth.html
    28 Jun 2024: And finally, in reality we are 7 billion people, not 1 person, who expect growth. ... It could be that people who use it are just a bit sloppy, and what they really mean is 'for 10 years or so' or something like that.
  9. 13 Feb 2023: In 16th Bayesian Modelling Applications Workshop at UAI, 2022, 2022. Abstract: The Upper Indus Basin, Himalayas provides water for 270 million people and countless ecosystems.
  10. 19 Jun 2024: on their effects on people belonging to certain sensitivedemographic groups (e.g., gender, race). ... Now we compare user judgments of fairness of individual features, fordifferent demographic subgroups of people.
  11. Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/topics/
    13 Feb 2023: In 16th Bayesian Modelling Applications Workshop at UAI, 2022, 2022. Abstract: The Upper Indus Basin, Himalayas provides water for 270 million people and countless ecosystems.
  12. - IB Paper 7: Probability and Statistics

    https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/lect02.pdf
    19 Nov 2023: Example: What is the probability that two people both have their birthday inJanuary? ... First, work out the probability qn that with n people, none share birthdays.
  13. 2018 Formatting Instructions for Authors Using LaTeX

    https://mlg.eng.cam.ac.uk/adrian/AIES18-crowd_signals.pdf
    19 Jun 2024: 2017),and might help to promote greater understanding and cohe-sion among people. ... CNN You mean, like the UNFOUNDED claims of Russiancollusion? You people are typically selective in your bias pro?https://t.co/CESkVpIZOk@nytimes His actions were
  14. paper8-lect0-13

    https://mlg.eng.cam.ac.uk/zoubin/p8-07/lect0.pdf
    27 Jan 2023: your preferences to other people’s preferences • online shopping: searching for products by giving a few examples • online dating services / social networks: searching for people based on profiles • finance: finding similar ... Appendix. Movie
  15. 4F13: Machine Learninghttp://learning.eng.cam.ac.uk/zoubin/ml06/…

    https://mlg.eng.cam.ac.uk/zoubin/ml06/lecture8.pdf
    27 Jan 2023: Statistical samplingWhat is the average height h of people p in Cambridge C? ... EpC[h(p)] 1|C|. pC. h(p). 1S. Ss=1. h(p(s). ), for random survey of S people {p(s)} C.
  16. Beyond Distributive Fairness in Algorithmic Decision Making: Feature…

    https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf
    19 Jun 2024: However, we note that such judgments can begathered from any other group of people, ranging fromcrowd workers to domain experts. ... people) more likelyto be falsely predicted as having a higher risk of recidivismthan another group of people (e.g., white
  17. Bounding the Integrality Distance ofLP Relaxations for Structured…

    https://mlg.eng.cam.ac.uk/adrian/OPT2016_paper_3.pdf
    19 Jun 2024: That is, max-margin training with approximateinference—which is something people do anyway to learn graphical models—reduces not only theprediction error, but also the inference approximation error.
  18. 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: SampleSize” denotes how many people received this variant. The next two columns contain the proportionof correct answers when identifying epistemic or aleatoric uncertainty for LSAT, respectively.
  19. Blind Justice: Fairness with Encrypted Sensitive Attributes

    https://mlg.eng.cam.ac.uk/adrian/ICML18-BlindJustice.pdf
    19 Jun 2024: 2.2. Fairness Criteria. In large part, works that formalize fairness in machine learn-ing do so by balancing a certain condition between groupsof people with different sensitive attributes, z versus ... Figure 3. The fraction of people with z = 0
  20. Network Ranking With Bethe Pseudomarginals Kui TangColumbia…

    https://mlg.eng.cam.ac.uk/adrian/2013_NeurIPS_DiscML_Network.pdf
    19 Jun 2024: 1 Introduction. Many important data-sets involve networks: people belong to social networks, webpages are joined in a linkgraph, and power utilities are connected in a grid.
  21. Adversarial Graph Embeddings for Fair Influence Maximization over…

    https://mlg.eng.cam.ac.uk/adrian/IJCAI20_AdversarialGraphEmbeddings.pdf
    19 Jun 2024: in terms of thetotal number of people influenced, and the fraction of peopleinfluenced from both A and B communities. ... maximizing the to-tal number of influenced people, while also significantly de-creasing disparity.
  22. 10 | UNIVERSITY OF CAMBRIDGE NEWSLETTER | FEBRUARY / ...

    https://mlg.eng.cam.ac.uk/zoubin/misc/KarstenMalariaNewsletter.pdf
    27 Jan 2023: According to the World Health Organisation, more than 1 million people die from its effects every 12 months. ... Near-missesWhy do people gamble if they know that the house always wins?
  23. Mind Reading by Machine Learning

    https://mlg.eng.cam.ac.uk/pub/pdf/HusNopLen10.pdf
    13 Feb 2023: Finally, we also implemented as an alternative methoda previously published algorithm (‘MCMC with people’)to infer subjective distributions (Sanborn & Griffiths,2008). ... Notably, it outperformedthe ‘MCMC with people’ method even in the case
  24. https://mlg.eng.cam.ac.uk/people/jiri-hron/index.xml

    https://mlg.eng.cam.ac.uk/people/jiri-hron/index.xml
    10 Apr 2024: Jiri Hron | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/jiri-hron/ Jiri Hron Wowchemy (https://wowchemy.com) en-us ... hron/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Jiri Hron
  25. A Simple Bayesian Framework for Content-Based Image Retrieval…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha06.pdf
    27 Jan 2023: everyday lives of people around the world. Accordingly,. there has been a substantial amount of CBIR research, and. ... as ease of displaying the images, reasonable quantities for. human hand labelling, and because when people perform.
  26. The Indian Buffet Process and Extensions Zoubin Ghahramani University …

    https://mlg.eng.cam.ac.uk/zoubin/talks/turin09.pdf
    27 Jan 2023: But clustering models are restrictive. • Consider modelling people’s movie preferences (the “Netflix” problem). ... 3.1 The Independent Component Analysis i F H M M. Independent C omponent A nal ysis [9] (I C A ) means di fferent things to di
  27. Variational Inference for BayesianMixtures of Factor Analysers Zoubin …

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf
    27 Jan 2023: Variational Inference for BayesianMixtures of Factor Analysers. Zoubin Ghahramani and Matthew J. Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk
  28. Gender Classification with Bayesian Kernel Methods [IJCNN1261]

    https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06b.pdf
    13 Feb 2023: People respond differentlyaccording to gender. Human computer interaction system canbe more user-friendly and more human-like when it considersthe user’s gender. ... This database has color faceimages of 103 Asian people, 53 men and 50 women, where.
  29. A Nonparametric Bayesian Approach toModeling Overlapping Clusters…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha07over.pdf
    27 Jan 2023: A common approach is tocluster people; clusters could characterize gender, age,ethnicity, or simply movie taste (e.g. ... people who likehorror movies). However, any particular person canclearly belong to multiple such clusters at the sametime, e.g.
  30. Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bsets-nips05.pdf
    27 Jan 2023: Depending on the application, the set D may consist of web pages, movies, people,words, proteins, images, or any other object we may wish to form queries on. ... The size of the dataset after preprocessing was 1813 people by 1532 movies.
  31. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/ihmm.pdf
    27 Jan 2023: The Infinite Hidden Markov Model. Matthew J. Beal Zoubin Ghahramani Carl Edward Rasmussen. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. {m.beal,zoubin,edward
  32. Working Draft 1 Accountability of AI Under the Law: ...

    https://mlg.eng.cam.ac.uk/adrian/SSRN-id3064761-Dec19.pdf
    19 Jun 2024: for most people.8 Moreover, decisions about how to define objective functions and what training data to use can introduce human error into AI decision making.9 Thus, there exist legitimate
  33. Graphical Models Zoubin Ghahramani Department of…

    https://mlg.eng.cam.ac.uk/zoubin/talks/lect2gm.pdf
    27 Jan 2023: many others, see http://people.cs.ubc.ca/murphyk/Software/bnsoft.html. Summary. • inference consists of the problem of computingp(variables of interest|observed variables). •
  34. Propagation Algorithms for VariationalBayesian Learning Zoubin…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea00a.pdf
    13 Feb 2023: Propagation Algorithms for VariationalBayesian Learning. Zoubin Ghahramani and Matthew J. Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk
  35. ibpnips4.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GriGha06.pdf
    13 Feb 2023: αi1α. Customers areexchangeableunder this process: the probability of a particularseating arrangement depends only on the number of people at each table, and not the orderin which they enter the restaurant.
  36. 13 Feb 2023: People often object to Bayesian methods on the basis that it forces one todefine priors on the parameters. ... Finally, people trained in the sciences are uncomfortable with the very notionof subjectivity in data analysis and modelling.
  37. Propagation Algorithms for VariationalBayesian Learning Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips00beal.pdf
    27 Jan 2023: Propagation Algorithms for VariationalBayesian Learning. Zoubin Ghahramani and Matthew J. Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk
  38. December 8, 2008 5:18 Connection Science connsci Connection…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosRoy08.pdf
    13 Feb 2023: Unfortunately, agents that interact with people using natural language often expe-rience communication errors and do not correctly understand the user’s intentions. ... Another set of challenges arise because people may have different preferences inhow
  39. 13 Feb 2023: As theevening progresses, these groups naturally evolve as people. The Random Forest Kernel (and creating other kernels for big data from random partitions).
  40. Learning with Multiple Labels

    https://mlg.eng.cam.ac.uk/pub/pdf/JinGha02a.pdf
    13 Feb 2023: As will be shown later, this constraint makes it possible for us to build up a purely discriminative approach while for learning problems using unlabeled data people usually take a generative
  41. Large Scale Nonparametric Bayesian Inference:Data Parallelisation in…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosKnoMohGha09.pdf
    13 Feb 2023: While large, thesedatasets are often still sparse: For example, a biologist may have expression levels from thousandsof genes from only a few people. ... buffet. The first customer takesthe first Poisson(α) dishes. The following customers try previously
  42. A Probabilistic Model for Online Document Clustering with Application …

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhaGhaYan04a.pdf
    13 Feb 2023: The most obvious application of noveltydetection is that, by detecting novel events, systems can automatically alert people whennew events happen, for example.
  43. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf
    13 Feb 2023: The Infinite Hidden Markov Model. Matthew J. Beal Zoubin Ghahramani Carl Edward Rasmussen. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. {m.beal,zoubin,edward
  44. Statistical Models for Partial Membership Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/pub/pdf/HelWilGha08.pdf
    13 Feb 2023: is expected to be (Are 100% ofthe people themselves 75% “White British” and 25%“Pakistani”? ... Or are 75% of the people 100% “WhiteBritish” and the rest are 100% “Pakistani”?
  45. 544 The Block Diagonal Infinite Hidden Markov Model Thomas ...

    https://mlg.eng.cam.ac.uk/pub/pdf/SteGhaGoretal09.pdf
    13 Feb 2023: This datasettakes the form of a matrix of counts cmn of the numberof people commuting each day between municipalitiesindexed by m and n. ... We may assume that this matrixhas a block-diagonal structure, since people are morelikely to commute between
  46. Variational Inference for the Indian Buffet Process Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf
    13 Feb 2023: The first customer takes the firstPoisson(α) dishes. The ith customer then takes dishesthat have been previously sampled with probabilitymk/i, where mk is the number of people who have ... The YaleFaces (Georghiades et al., 2001) dataset consisted of721
  47. Gaussian Processes for time-marked time-series data John P.…

    https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf
    13 Feb 2023: see attendance of 40-55 thou-sand people. ... 259. Gaussian Processes for time-marked time-series data. ball game on traffic, as people tend to arrive and leaveearly.
  48. nips2007-final.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SilChuGha08.pdf
    13 Feb 2023: available at http://people.scs.fsu.edu/burkardt/msrc/rcm/rcm.html. Table 1: The averaged AUC scores of citation prediction on test cases of the Cora database arerecorded along with
  49. A Probabilistic Model for Online DocumentClustering with Application…

    https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips04.pdf
    27 Jan 2023: The most obvious application of noveltydetection is that, by detecting novel events, systems can automatically alert people when.
  50. Statistical Causal Inference

    https://mlg.eng.cam.ac.uk/zoubin/SALD/Intro-Causal.pdf
    27 Jan 2023: For example, although poverty may cause crime, we cannot ethically intervene to impoverish people. ... single marginal independence between X1 and X2. This gives many people pause, as it should.
  51. zglactive.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf
    27 Jan 2023: 1http://www.ai.mit.edu/people/jrennie/20Newsgroups/. 10 20 30 40 500. 100. 200. 300. 400. 500.

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