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Addressing Climate Change
https://mlg.eng.cam.ac.uk/carl/climate/eaccs.html4 Jul 2024: Membership immediately creates economic pressure to cut emissions (for all members, not just large emitters). -
Computational abstractions for probabilistic and differentiable…
https://mlg.eng.cam.ac.uk/capp-workshop/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. -
Adrian Weller
https://mlg.eng.cam.ac.uk/adrian/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 -
LNAI 7524 - Modelling Input Varying Correlations between Multiple…
https://mlg.eng.cam.ac.uk/pub/pdf/WilGha12a.pdf13 Feb 2023: The Re-. view of Economic Studies 61(2), 247–264 (1994)Murray, I., Adams, R.P., MacKay, D.J.: Elliptical Slice Sampling. -
linsys-new.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/tr-96-2.pdf27 Jan 2023: Ph.D. Thesis, Graduate Group in Managerial Science and Applied Economics,University of Pennsylvania, Philadelphia, PA.Everitt, B. -
3F3: Signal and Pattern Processing Lecture 1: Introduction to ...
https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf19 Nov 2023: Computational Neuroscience: neuronal networks, neural information processing,. • Economics: decision theory, game theory, operational research,. -
International Cooperation against Climate Change
https://mlg.eng.cam.ac.uk/carl/climate/internationalcooperation.html4 Jul 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 -
Orthogonal estimation of Wasserstein distances Mark Rowland*, Jiri…
https://mlg.eng.cam.ac.uk/adrian/slicedwasserstein_poster.pdf19 Jun 2024: Naturally incorporate spatial information. • Applications from economics to machine learning. -
The Voluntary International Carbon Alliance
https://mlg.eng.cam.ac.uk/carl/climate/vica.html4 Jul 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. -
4F13: Machine Learning Lectures 1-2: Introduction to Machine Learning …
https://mlg.eng.cam.ac.uk/zoubin/ml06/lect1-2.pdf27 Jan 2023: Using ideas from: Statistics, Computer Science, Engineering, Applied Mathematics,Cognitive Science, Psychology, Computational Neuroscience, Economics. • -
The Dynamic Beamformer Ali Bahramisharif1,2,�, Marcel A.J. van…
https://mlg.eng.cam.ac.uk/pub/pdf/BahvanSchGha12.pdf13 Feb 2023: Corresponding author. The authors gratefully acknowledge the support of the Brain-Gain Smart Mix Programme of the Netherlands Ministry of Economic Affairs andthe Netherlands Ministry of Education, Culture and Science. -
Who owns the atmosphere?
https://mlg.eng.cam.ac.uk/carl/climate/eacc.html4 Jul 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. -
Unsupervised Learning Week 1: Introduction, Statistical Basics,and a…
https://mlg.eng.cam.ac.uk/zoubin/course05/lect1.pdf27 Jan 2023: Cognitive Science: computational linguistics, philosophy of mind,. • Economics: decision theory, game theory, operational research. • -
Transparency: Motivations and Challenges? Adrian…
https://mlg.eng.cam.ac.uk/adrian/transparency.pdf19 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. -
A Generative Model of Vector Space Semantics
https://mlg.eng.cam.ac.uk/pub/pdf/AndGha13a.pdf13 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. -
Speaking Truth to Climate Change
https://mlg.eng.cam.ac.uk/carl/climate/truth.pdf4 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 -
The Case for Process Fairness in Learning:Feature Selection for ...
https://mlg.eng.cam.ac.uk/adrian/grgic.pdf19 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. -
Mechanisms Against Climate Change
https://mlg.eng.cam.ac.uk/carl/talks/cifar.pdf4 Jul 2024: The cooperative immediately creates strong economic pressure on all members to reduce emissions. -
A Choice Model with Infinitely Many Latent Features Dilan ...
https://mlg.eng.cam.ac.uk/pub/pdf/GoeJaeRas06.pdf13 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. -
From Parity to Preference-based Notionsof Fairness in Classification…
https://mlg.eng.cam.ac.uk/adrian/NeurIPS17-from-parity-to-preference.pdf19 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 -
Healing the Relevance Vector Machine through Augmentation Carl Edward …
https://mlg.eng.cam.ac.uk/pub/pdf/RasQui05.pdf13 Feb 2023: 1978). He-donic prices and the demand for clean air.Journal of Environmental Economics & Man-agement, 5, 81–102. -
Discovering Interpretable Representations for Both Deep Generative…
https://mlg.eng.cam.ac.uk/adrian/ICML18-Discovering.pdf19 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. -
nips2007-final.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SilChuGha08.pdf13 Feb 2023: This setup is very closely related to the classicseemingly unrelated regressionmodel popular in economics [12]. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/authors/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, -
nips2007-final.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/SilChuGha08.pdf27 Jan 2023: This setup is very closely related to the classicseemingly unrelated regressionmodel popular in economics [12]. -
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring…
https://mlg.eng.cam.ac.uk/adrian/KDD2018_inequality_indices.pdf19 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 -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/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 -
Human Perceptions of Fairness in Algorithmic Decision Making: A Case…
https://mlg.eng.cam.ac.uk/adrian/WWW18-HumanPerceptions.pdf19 Jun 2024: We draw these latentproperties from the existing literature in social-economic-political-moral sciences, philosophy, and the law, as detailed below.I. ... Caused by Sensitive Group Membership. Inspired by thenotions of indirect discrimination in -
Beyond Distributive Fairness in Algorithmic Decision Making: Feature…
https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf19 Jun 2024: Prior work in economics, law, and political science dis-tinguishes between direct and indirect discrimination, sug-gesting that the “wrong” of direct discrimination (which weidentify with violating process fairness) should be ... In Univer-sity of -
Gaussian Processes for time-marked time-series data John P.…
https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf13 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 -
Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/topics/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 -
Clamping Variables and Approximate Inference Adrian WellerColumbia…
https://mlg.eng.cam.ac.uk/adrian/NeurIPS14-clamp.pdf19 Jun 2024: In UAI, 2009. P. Milgrom. The envelope theorems. Department of Economics, Standford University, Mimeo, 1999. -
Bayes-Ball: The Rational Pastime(for Determining Irrelevance and…
https://mlg.eng.cam.ac.uk/zoubin/course04/BayesBall.pdf27 Jan 2023: Ross D. ShachterEngineering-Economic Systems and Operations Research Dept. Stanford UniversityStanford, CA 94305-4023shachter@stanford.edu. -
Bayes-Ball: The Rational Pastime(for Determining Irrelevance and…
https://mlg.eng.cam.ac.uk/zoubin/course03/BayesBall.pdf27 Jan 2023: Ross D. ShachterEngineering-Economic Systems and Operations Research Dept. Stanford UniversityStanford, CA 94305-4023shachter@stanford.edu. -
TCS November 2001, 2nd pages.qxd
https://mlg.eng.cam.ac.uk/zoubin/papers/WolGhaFla01.pdf27 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. -
A Nonparametric Bayesian Model for Multiple Clustering…
https://mlg.eng.cam.ac.uk/pub/pdf/NiuDyGha12.pdf13 Feb 2023: This datasetis also very rich. Articles contain topics on politics,economics, business, sports and so on. -
Bayesian Knowledge Corroboration with LogicalRules and User Feedback…
https://mlg.eng.cam.ac.uk/pub/pdf/KasVanGraHer10.pdf13 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 -
Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…
https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf19 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). -
1471-2105-10-242.fm
https://mlg.eng.cam.ac.uk/pub/pdf/SavHelXuetal09.pdf13 Feb 2023: multiple time series. Journal of Business and Economic Statistics2008, 26:78-89. 13. -
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
https://mlg.eng.cam.ac.uk/pub/pdf/ParRasPetDoy18.pdf13 Feb 2023: and Pelikan, S. Competitive chaos. Journalof economic theory, 40(1):13–25, 1986. Depeweg, S., Hernández-Lobato, J. -
Working Draft 1 Accountability of AI Under the Law: ...
https://mlg.eng.cam.ac.uk/adrian/SSRN-id3064761-Dec19.pdf19 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,. -
Gaussian Process Regression Networks Andrew Gordon Wilson∗ David A.…
https://mlg.eng.cam.ac.uk/pub/pdf/WilKnoGha11.pdf13 Feb 2023: Journal of Economic and Social Measurement, 25:59–71. Minka, T. P., Winn, J. -
Bayesian nonparametrics andthe probabilistic approach to modelling…
https://mlg.eng.cam.ac.uk/pub/pdf/Gha12.pdf13 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 -
/users/joe/src/tops/dvips
https://mlg.eng.cam.ac.uk/pub/pdf/GhaHin00a.pdf13 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 -
Max–Planck–Institut f ür biologische KybernetikMax Planck Institute…
https://mlg.eng.cam.ac.uk/pub/pdf/KusPfiCsaRas05.pdf13 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. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
Methods for Inference in Graphical Models
https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf19 Jun 2024: cave functions. They have attracted attention in combinatorics (Lovász, 1983), economics (Topkis,.
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