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Discovering Interpretable Representations for Both Deep Generative…
https://mlg.eng.cam.ac.uk/adrian/ICML18-Discovering.pdf19 Jun 2024: Significant re-sults are identified using a paired t-test with p = 0.05. ... The SVHN dataset contains 73,257training digits (instances) and 26,032 test digits. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/authors/13 Feb 2023: Finally, the fourth conversion yields an algorithm for synthesising program source code from input-output examples that is able to solve test problems 1-3 orders of magnitude faster than a ... Versa substitutes optimization at test time with forward -
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 ... Finally,we train the five classifiers -
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 ... Train and test tightness of LP relaxations in structured prediction. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/13 Feb 2023: In this work, we test how well-automated methods can detect conversational behaviors and replace an expert human annotator. ... Abstract: Domain generalization (DG) seeks predictors which perform well on unseen test distributions by leveraging data drawn -
Transparency: Motivations and Challenges? Adrian…
https://mlg.eng.cam.ac.uk/adrian/transparency.pdf19 Jun 2024: truth.”. Defining criteria and tests for practical faithfulness are important open pro-blems. ... 53. Prat, A.: The wrong kind of transparency. American Economic Review 95(3),862–877 (2005). -
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 -
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. -
Healing the Relevance Vector Machine through Augmentation Carl Edward …
https://mlg.eng.cam.ac.uk/pub/pdf/RasQui05.pdf13 Feb 2023: may have contained data close to the test in-put, which hadn’t been designated as relevance vectors. ... For the robot arm we use dis-joint test and training sets both of 2000 cases. -
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring…
https://mlg.eng.cam.ac.uk/adrian/KDD2018_inequality_indices.pdf19 Jun 2024: In this paper, we propose to quantify unfairness using inequal-ity indices that have been extensively studied in economics andsocial welfare [3, 10, 19]. ... For all experiments, we repeatedly split the data into 70%-30%train-test sets 10 times and -
LNAI 7524 - Modelling Input Varying Correlations between Multiple…
https://mlg.eng.cam.ac.uk/pub/pdf/WilGha12a.pdf13 Feb 2023: modeling through spatially varying coregionalization. Test 13(2), 263–312 (2004)Gouriéroux, C.: ARCH models and financial applications. ... The Re-. view of Economic Studies 61(2), 247–264 (1994)Murray, I., Adams, R.P., MacKay, D.J.: Elliptical -
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. ... For each of the classifiers, we also compute -
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. ... To evaluate the model, we randomly split thedata into 50%/50% train/test folds five times, and -
The Dynamic Beamformer Ali Bahramisharif1,2,�, Marcel A.J. van…
https://mlg.eng.cam.ac.uk/pub/pdf/BahvanSchGha12.pdf13 Feb 2023: After optimizing parameters, we computedthe performance on the test set. We used the correlation between the actual andpredicted sine and cosine of the angle as the performance measure. ... b) The prediction on the test setusing 300 sources. Red dots -
Gaussian Processes for time-marked time-series data John P.…
https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf13 Feb 2023: 3.2 Evaluation methods and metrics. To test performance in all data sets, we used leave-one-out cross validation (LOOCV). ... LOOCV test error (RMSE). Time from start Clipping Time-marked GP. GP Averaging GP Averaging Acausal Causal. -
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]. ... The same partitions for training and test are usedto generate the results for XGP. -
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]. ... The same partitions for training and test are usedto generate the results for XGP. -
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. -
Beyond Distributive Fairness in Algorithmic Decision Making: Feature…
https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf19 Jun 2024: 2011). For all reported results, we ran-domly split the data into 50%/50% train/test folds 5 times and re-port average statistics. ... In Univer-sity of Michigan Law & Economics Research Paper No. 16012.Ahmed, F.; Dickerson, J. -
Gaussian Process Regression Networks Andrew Gordon Wilson∗ David A.…
https://mlg.eng.cam.ac.uk/pub/pdf/WilKnoGha11.pdf13 Feb 2023: x), for a test input x, than if we were to treat the dimensionsindependently. ... Journal of Economic and Social Measurement, 25:59–71. Minka, T. P., Winn, J. -
Clamping Variables and Approximate Inference Adrian WellerColumbia…
https://mlg.eng.cam.ac.uk/adrian/NeurIPS14-clamp.pdf19 Jun 2024: 6. Test models were constructed as follows: For n variables, singleton potentials were drawn θi U[Tmax,Tmax]; edge weights were drawn Wij U[0,Wmax] for attractive models, or Wij ... In UAI, 2009. P. Milgrom. The envelope theorems. Department of Economics -
A Nonparametric Bayesian Model for Multiple Clustering…
https://mlg.eng.cam.ac.uk/pub/pdf/NiuDyGha12.pdf13 Feb 2023: We test our method to see whetherwe can find these two clustering views. ... This datasetis also very rich. Articles contain topics on politics,economics, business, sports and so on. -
Max–Planck–Institut f ür biologische KybernetikMax Planck Institute…
https://mlg.eng.cam.ac.uk/pub/pdf/KusPfiCsaRas05.pdf13 Feb 2023: The posterior predictive distributionof the latent function valuef for an arbitrary test locationx. -
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,. -
thesis.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/Ras96b.pdf13 Feb 2023: test cases can be stored with the same disk requirements. Attempts can be made to further increase the effectiveness (in terms of data) of the tests. ... according to training sets and test cases. Generally paired tests are more powerful than. -
Bayesian Knowledge Corroboration with LogicalRules and User Feedback…
https://mlg.eng.cam.ac.uk/pub/pdf/KasVanGraHer10.pdf13 Feb 2023: They report results on various datasets one of whichis a sixth-grade biology test dataset. ... This test consists of 15 yes-no questionswhich can be viewed as statements in our setting. -
Gaussian Processes forState Space Models andChange Point Detection…
https://mlg.eng.cam.ac.uk/pub/pdf/Tur11.pdf13 Feb 2023: correct character in a test set when novel images are provided to the algorithm. ... However, power willbe the function of a true latent parameter. Only in simple situations will there be a test that isuniformly most powerful: more powerful than other -
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). ... 5.1 Distance estimation. We begin with a test bed of small-scale -
1471-2105-10-242.fm
https://mlg.eng.cam.ac.uk/pub/pdf/SavHelXuetal09.pdf13 Feb 2023: However, instead ofdistance, the algorithm uses a statistical hypothesis test tochoose which clusters to merge. ... multiple time series. Journal of Business and Economic Statistics2008, 26:78-89. 13. -
Methods for Inference in Graphical Models
https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf19 Jun 2024: 91. 7.6.2 Test sets. 93. 7.7 Conclusions. 95. 8 Clamping Variables and Approximate Inference 96. ... cave functions. They have attracted attention in combinatorics (Lovász, 1983), economics (Topkis,. -
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. ... era1,2. Faced with the upheavals throughout theSoviet -
Bayesian nonparametrics andthe probabilistic approach to modelling…
https://mlg.eng.cam.ac.uk/pub/pdf/Gha12.pdf13 Feb 2023: Moreover, at test time, the DPM always allows for the possibility thata new test point (e.g. -
/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 -
Generalised Bayesian Matrix Factorisation Models Shakir Mohamed St…
https://mlg.eng.cam.ac.uk/pub/pdf/Moh11.pdf13 Feb 2023: a) RMSE on training data (b) RMSE on test data(c) NLP (shown on a log-scale to aid viewing). ... 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 -
Bayesian Learning forData-Efficient Control Rowan McAllister…
https://mlg.eng.cam.ac.uk/pub/pdf/Mca16.pdf13 Feb 2023: We test our method on the cartpole swing-up task, which involvesnonlinear dynamics and requires nonlinear control. ... Learning control of dynamical systems is a broad subject. Applications rangeform industrial (refining, manufacturing, power), Results that match 1 of 2 words
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TibGM: A Transferable and Information-Based Graphical Model Approach…
https://mlg.eng.cam.ac.uk/adrian/ICML2019-TibGM.pdf19 Jun 2024: Confidence intervals are shown in all the plots. Unlessnoted otherwise, each experiment was repeated 50 timesand significance has been tested via a paired t-test with sig-nificance level at 5%. ... Significance is tested usingthe same paired t-test -
A robust Bayesian two-sample test for detecting intervals of ...
https://mlg.eng.cam.ac.uk/pub/pdf/SteDenWiletal09.pdf13 Feb 2023: A robust Bayesian two-sample test for. detecting intervals of differential gene expression. ... Hence its ability to correctly detect differential geneexpression on these reference datasets is again more than competitive with thatof the state-of-the-art -
The Voluntary International Carbon Alliance
https://mlg.eng.cam.ac.uk/carl/climate/vica.html1 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. -
When will we reach +1.5°C?
https://mlg.eng.cam.ac.uk/carl/climate/tempvCO2.html1 Jul 2024: Here we are using the scatter plot to empirically test the strength of the relationship within the 65 years of CO. -
Who owns the atmosphere?
https://mlg.eng.cam.ac.uk/carl/climate/eacc.html1 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. -
Addressing Climate Change
https://mlg.eng.cam.ac.uk/carl/climate/eaccs.html1 Jul 2024: Membership immediately creates economic pressure to cut emissions (for all members, not just large emitters). -
International Cooperation against Climate Change
https://mlg.eng.cam.ac.uk/carl/climate/internationalcooperation.html1 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 -
arXiv:0906.4032v1 [cs.LG] 22 Jun 2009
https://mlg.eng.cam.ac.uk/pub/pdf/BorGha09a.pdf13 Feb 2023: An associated test is called a two-sample test. Such tests are encountered invarious disciplines from the life sciences to the social sciences:. • ... 3. 3 Concept of Bayesian two-sample tests. 3.1 Bayes factor as test criterion. -
https://mlg.eng.cam.ac.uk/zoubin/misc/karna.txt
https://mlg.eng.cam.ac.uk/zoubin/misc/karna.txt27 Jan 2023: This could take time and test our patience. Q. Once the enemy is defined, is violence the proper response? ... It may require education. It will require time and may test our patience. -
https://mlg.eng.cam.ac.uk/index.xml
https://mlg.eng.cam.ac.uk/index.xml10 Apr 2024: Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/ Cambridge Machine Learning Group Wowchemy (https://wowchemy.com) en-us Wed, 22 Mar 2023 00:00:00 0000 -
images/test_user_webdesign.eps
https://mlg.eng.cam.ac.uk/pub/pdf/IwaShaGha13a.pdf13 Feb 2023: The vertical axis is the test likelihood, and the horizontal is the test time period. ... Thevertical axis is the test likelihood, and the horizontal is the test time period. -
ML-IRL: Machine Learning in Real Life Workshop at ICLR ...
https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-Counterfactual_Accuracy.pdf19 Jun 2024: would we have to give up so that the predictionfor the test point would change? ... 2017)), and then we constrain fora random test point to obtain counterfactual accuracy. -
- IB Paper 7: Probability and Statistics
https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/lect06.pdf19 Nov 2023: We get 10 people to blind test, each given a randomly selected drink. ... One-sided and two-sided tests. Depending on the circumstances, it may be necessary to use a two-sided test. -
Engineering Tripos Part IB SECOND YEAR PART IB Paper ...
https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/IBP7ex75.pdf19 Nov 2023: 7. Commercial airline pilots need to pass four out of five separate tests for certification. ... Assume that the testsare equally difficult, and that the performance on separate tests are independent. -
Evaluating and Aggregating Feature-based Model Explanations
https://mlg.eng.cam.ac.uk/adrian/IJCAI20_EvaluatingAndAggregating.pdf19 Jun 2024: For Iris [Dua and Graff, 2017], we train our modelto 96% test accuracy. ... 45). Table 2: Faithfulness µF averaged over a test set: (Zero Baseline,Training Average Baseline).
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