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13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie,

13 Feb 2023: Our analysis highlights global partnerships (SDG 17) as a pivot in global sustainability efforts, which have been strongly linked to economic growth (SDG 8). ... However, if economic growth and trade expansion were repositioned as a means instead of an

13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Gaussian Processes and Kernel Methods. Gaussian processes are non-parametric distributions useful for doing Bayesian inference

28 Jun 2024: Contextual background. Real progress on global warming requires a confluence of concepts, including from science, economics, sociology and ethics. ... The economic turnover relies on a single number, the price per ton of CO.

28 Jun 2024: Strong individual economic pressures conflict with our common global interests. Only through global cooperation can individual and common incentives be re-aligned. ... This creates strong economic pressures to keep using fossil fuels. The real

28 Jun 2024: Such a scheme would immediately put economic pressure on all users to reduce their utilisation of the common atmospheric resource. ... In the following years, low per capita emitters will gain immediate economic benefit from joining.

28 Jun 2024: Membership immediately creates economic pressure to cut emissions (for all members, not just large emitters).

10 Apr 2024: My curriculum vitae can be found here.

19 Jun 2024: In this paper, we draw inspiration from the fair-division and envy-freeness literature in economics and game theory and proposepreference-based notions of fairness—given the choice between various sets ... In this work, we introduce, formalize and

19 Jun 2024: Adrian serves on the boards of several organizations. He is a member of the World Economic Forum Global Future Council on the Future of AI, and is co-director of the

19 Jun 2024: 1. IntroductionLearning interpretable data representations is becomingever more important as machine learning models grow insize and complexity, and as applications reach critical so-cial, economic and public health domains.

23 Nov 2022: Online. Bayesian inference and machine learning have found numerous use cases in applied domains and basic science, such as disease modeling, climate research, economics, or astronomy.

25 Jun 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

25 Jun 2024: The cooperative immediately creates strong economic pressure on all members to reduce emissions.

19 Jun 2024: Naturally incorporate spatial information. • Applications from economics to machine learning.

19 Jun 2024: 53. Prat, A.: The wrong kind of transparency. American Economic Review 95(3),862–877 (2005). ... In: KDD (2016). 55. Ross, S.A.: The economic theory of agency: The principal’s problem.

27 Jan 2023: Curriculum Vitae. Zoubin Ghahramani FRS. CONTACT DETAILS. Department: Department of EngineeringUniversity of CambridgeTrumpington StreetCambridge CB2 1PZ, UK.

13 Feb 2023: The Re-. view of Economic Studies 61(2), 247–264 (1994)Murray, I., Adams, R.P., MacKay, D.J.: Elliptical Slice Sampling.

19 Jun 2024: Our core idea is to use existing inequalityindices from economics to measure how unequally the outcomes ofan algorithm benefit different individuals or groups in a population.Our work offers a justified ... In this paper, we propose to quantify

13 Feb 2023: It is also able to cor-rectly map the vector associated with “economic. ... Test vector economic development(“economic development”) economic development. economic development. Random vector vital turningfurther obligationsbad negotiations.

27 Jan 2023: Ph.D. Thesis, Graduate Group in Managerial Science and Applied Economics,University of Pennsylvania, Philadelphia, PA.Everitt, B.

13 Feb 2023: 5. Discussion. EBA is a choice model which has correspondencesto several models in economics and psychology. ... New York:Wiley. McFadden, D. (2000). Economic choice. In T. Persson(Ed.), Nobel lectures, Economics 1996-2000, 330–364.

19 Jun 2024: 3. Prior literature in social, economic, legal, and political sciences distinguishing between directdiscrimination and indirect discrimination makes similar observations as we do in this paper.

19 Nov 2023: Computational Neuroscience: neuronal networks, neural information processing,. • Economics: decision theory, game theory, operational research,.

27 Jan 2023: Using ideas from: Statistics, Computer Science, Engineering, Applied Mathematics,Cognitive Science, Psychology, Computational Neuroscience, Economics. •

19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •

19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •

27 Jan 2023: This setup is very closely related to the classicseemingly unrelated regressionmodel popular in economics [12].

19 Jun 2024: physics (Jordan et al., 1998) and economics(Galichon, 2016), and are increasingly used in machinelearning (Arjovsky et al., 2017; Gulrajani et al., 2017;Peyré and Cuturi, 2018).

19 Jun 2024: Working Draft. 1. Accountability of AI Under the Law: The Role of Explanation. Finale Doshi-Velez, Mason Kortz, Ryan Budish, Chris Bavitz, Sam Gershman, David O’Brien, Kate Scott, Stuart Shieber, James Waldo, David Weinberger, Adrian Weller,.

13 Feb 2023: 3.1.2 Gameday Traffic Data. Time-marked data appears in broader contexts thanexperimental science, such as economics and finance(where for example equity volatility may depend bothon calendar events and

13 Feb 2023: This datasetis also very rich. Articles contain topics on politics,economics, business, sports and so on.

27 Jan 2023: Ross D. ShachterEngineering-Economic Systems and Operations Research Dept. Stanford UniversityStanford, CA 94305-4023shachter@stanford.edu.

27 Jan 2023: Ross D. ShachterEngineering-Economic Systems and Operations Research Dept. Stanford UniversityStanford, CA 94305-4023shachter@stanford.edu.

27 Jan 2023: Vygotsky thought of as the ‘historicalnature’ of psychological processes – the extent towhich reasoning, memory and categorization areshaped by the social and economic practices of a given.

13 Feb 2023: In: Gamesand Economic Behavior, 56(1), pp. 148–173. Elsevier (2006). 35. Jøsang, A., Marsh, S., Pope, S.: Exploring Different Types of Trust Propagation.In: 4th International Conference on Trust Management

13 Feb 2023: multiple time series. Journal of Business and Economic Statistics2008, 26:78-89. 13.

13 Feb 2023: and Pelikan, S. Competitive chaos. Journalof economic theory, 40(1):13–25, 1986. Depeweg, S., Hernández-Lobato, J.

13 Feb 2023: Journal of Economic and Social Measurement, 25:59–71. Minka, T. P., Winn, J.

13 Feb 2023: Bayesian nonparametrics andthe probabilistic approach to modelling. Zoubin Ghahramani. Department of EngineeringUniversity of Cambridge, UK. zoubin@eng.cam.ac.ukhttp://mlg.eng.cam.ac.uk/zoubin. Modelling is fundamental to many fields of science and

19 Jun 2024: cave functions. They have attracted attention in combinatorics (Lovász, 1983), economics (Topkis,.

19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •

13 Feb 2023: LETTER Communicated by Volker Tresp. Variational Learning for Switching State-Space Models. Zoubin GhahramaniGeoffrey E. HintonGatsby Computational Neuroscience Unit, University College London, London WC1N3AR, U.K. We introduce a new statistical

13 Feb 2023: Max–Planck–Institut f ür biologische KybernetikMax Planck Institute for Biological Cybernetics. Technical Report No. 136. Approximate Inference forRobust Gaussian Process. Regression. Malte Kuss1, Tobias Pfingsten1,2, Lehel Csató1,Carl E.

13 Feb 2023: Faculty of InformaticsInstitute for AnthropomaticsIntelligent Sensor-Actuator-Systems Laboratory (ISAS)Prof. Dr.-Ing. Uwe D. Hanebeck Sensor-Actuator-Systems. Intelligent. Efficient Reinforcement Learningusing Gaussian Processes. Marc Peter

13 Feb 2023: Gaussian Processes forState Space Models andChange Point Detection. Ryan Darby Turner. Department of Engineering. University of Cambridge. A thesis submitted for the degree of. Doctor of Philosophy. July 17, 2011. b. Acknowledgements. I would like

13 Feb 2023: 1.1 The Ubiquitous Latent Variable. Models with latent variables hold a central role in in the analysis of data in a diverseset of research areas spanning machine learning, statistics, economics,

13 Feb 2023: Learning control of dynamical systems is a broad subject. Applications rangeform industrial (refining, manufacturing, power), transportation, logistics, electron-ics, robotics, computer science, to economics. ... There is themathematics community

13 Feb 2023: EVALUATION OF GAUSSIAN PROCESSES AND. OTHER METHODS FOR NON-LINEAR REGRESSION. Carl Edward Rasmussen. A thesis submitted in conformity with the requirements. for the degree of Doctor of Philosophy,. Graduate Department of Computer Science,. in the

19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •