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Efficient Reinforcement Learning for Motor Control
https://mlg.eng.cam.ac.uk/pub/pdf/DeiRas09b.pdf13 Feb 2023: The objective is to swing the pendulum up and to balanceit in the inverted position in the middle of the track by simplypushing the cart to the left and to the ... The controller manages to keep thecart in the middle of the track, but the pendulum -
standalone.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/QuiRasWil07.pdf13 Feb 2023: test conditional: p(f|u) = N (K,uK1. u,uu, K, Q,) , (10b). ... Lower graph: assumption of conditional independencebetween training and test function values given u. -
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 -
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 -
Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…
https://mlg.eng.cam.ac.uk/pub/pdf/RasGha01.pdf13 Feb 2023: If the modelcomplexity is either too low or too high performance on an independent test set will suffer,giving rise to a characteristic Occam’s Hill. ... The input points are arranged intwo lumps of16 and8 points, the step occurring in the middle of -
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. -
Bayesian Hierarchical Clustering Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/bhcnew.pdf27 Jan 2023: Sec-ond our algorithm is derived from Dirichlet processmixtures. Third the hypothesis test at the core ofour algorithm tests between a single merged hypoth-esis and the alternative is exponentially many ... Note that point 18 in the middle column is -
gppl.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/icml05chuwei-pl.pdf27 Jan 2023: our algorithm. The test results of the two algorithmsare presented in the left graph of Figure 2. ... The middle crosses indicatethe average values over the 20 trials and the vertical linesindicate the standard deviations. -
You Shouldn’t Trust Me: Learning Models WhichConceal Unfairness From…
https://mlg.eng.cam.ac.uk/adrian/ECAI20-You_Shouldn%E2%80%99t_Trust_Me.pdf19 Jun 2024: Each histogramrepresents the ranking across the test set assigned by the designated feature importance method. ... These results suggest that ourattack is successful in generalising across unseen test points. -
Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…
https://mlg.eng.cam.ac.uk/zoubin/papers/occam.pdf27 Jan 2023: If the modelcomplexity is either too low or too high performance on an independent test set will suffer,giving rise to a characteristic Occam’s Hill. ... The input points are arranged intwo lumps of16 and8 points, the step occurring in the middle of -
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 -
chu05a.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha05a.pdf13 Feb 2023: 0.23370.0072. Table 2: Test results of the three algorithms using a Gaussian kernel. ... Figure 4 presents the test results of the three algorithms for different numbers ofselected genes. -
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. -
Scaling Multidimensional Gaussian Processes using ProjectedAdditive…
https://mlg.eng.cam.ac.uk/pub/pdf/GilSaaCun13.pdf13 Feb 2023: This paper introduces and tests a novelmethod of projected additive approximationto multidimensional GPs. ... Scaling Multidimensional Gaussian Processes. Algorithm 1 Gaussian Process Regression using SSMsInput: Jointly sorted training and test input -
The Infinite Partially Observable Markov DecisionProcess Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/Dos09b.pdf13 Feb 2023: states only for the ends of the corridor and groups the middle region as one state. ... The middle three columnsshow the speeds of the three controls relative the iPOMDP. -
Generalization to Local Remappings of the VisuomotorCoordinate…
https://mlg.eng.cam.ac.uk/zoubin/papers/genJN.pdf27 Jan 2023: the y (sagittal) direction to test thehypothesis that the transformationwasconstrained to generalize linearly. ... left and middle columns of targets) in the xdirection and at one of nine targets (top right target) in the ydirection. -
Beyond Dataset Bias: Multi-task UnalignedShared Knowledge Transfer…
https://mlg.eng.cam.ac.uk/pub/pdf/TomQuaCapLam12.pdf13 Feb 2023: time a leave-one-dataset-out experimentalsetup over five existing datasets that can be considered a valid test bed for anycross-dataset generalization method. ... Since the test set changes at each run, the standard de-viations are only barely indicative. -
Bayesian Hierarchical Clustering Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/icml05heller.pdf27 Jan 2023: Sec-ond our algorithm is derived from Dirichlet processmixtures. Third the hypothesis test at the core ofour algorithm tests between a single merged hypoth-esis and the alternative is exponentially many ... Note that point 18 in the middle column is -
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. -
chu05a.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/chu05a.pdf27 Jan 2023: 0.23370.0072. Table 2: Test results of the three algorithms using a Gaussian kernel. ... Figure 4 presents the test results of the three algorithms for different numbers ofselected genes. -
December 8, 2008 5:18 Connection Science connsci Connection…
https://mlg.eng.cam.ac.uk/pub/pdf/DosRoy08.pdf13 Feb 2023: Tests using HMM-based state estimation for modelupdating performed slightly but not significantly worse. ... Initial and True Parameter Values for Simulation Tests. The initial model parameters assume a higher. -
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. -
Tree-Based Inference for Dirichlet Process Mixtures Yang Xu Machine…
https://mlg.eng.cam.ac.uk/pub/pdf/XuHelGha09.pdf13 Feb 2023: It then iteratively mergespairs of clusters to construct the hierarchy. The maindifference between BHC and traditional hierarchicalclustering methods is that BHC uses a statistical hy-pothesis test to choose which clusters ... For the synthetic datasets, -
Perfusion Quantification Using Gaussian ProcessDeconvolution I.K.…
https://mlg.eng.cam.ac.uk/pub/pdf/AndSzyRasetal02.pdf13 Feb 2023: The box and trianglefunctions were constructed as in Ref. 9 in order to test theability of the methods to extract non-exponential features. ... To test theperformance of the methods close to ideal conditions,noise was also added, with s 4 MRu. -
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. -
Görür D, Rasmussen CE. Dirichlet process Gaussian mixture models:…
https://mlg.eng.cam.ac.uk/pub/pdf/GoeRas10.pdf13 Feb 2023: Table 2. Paired t-Test Scores of Leave One Out PredictiveDensities (The test does not give enough evidence in case ofthe Geyser data, however it shows that KDE is statisticallysignificantly different ... Dilan Görür et al.: (Conditionally) Conjugate -
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. -
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. -
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. -
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. -
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 -
Tightness of LP Relaxations for Almost Balanced Models Adrian ...
https://mlg.eng.cam.ac.uk/adrian/tricam.pdf19 Jun 2024: Tightness of LP Relaxations for Almost Balanced Models. Adrian Weller Mark Rowland David SontagUniversity of Cambridge University of Cambridge New York University. Abstract. Linear programming (LP) relaxations are widelyused to attempt to identify a -
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. -
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,. -
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 -
Scalable Inference for StructuredGaussian Process Models Yunus…
https://mlg.eng.cam.ac.uk/pub/pdf/Saa11.pdf13 Feb 2023: we only need to query the GP at training and test inputs, which form a finite set. ... 1.26). where KMN is the cross-covariance of the training and test inputs and KM the. -
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 -
Efficient Reinforcement Learning using Gaussian Processes
https://mlg.eng.cam.ac.uk/pub/pdf/Dei10.pdf13 Feb 2023: The variables xj in the center plate are a finite number of test inputs. ... us start scalar training targets yi R and a deterministic test input x. -
Computation and Psychophysics ofSensorimotor IntegrationbyZoubin…
https://mlg.eng.cam.ac.uk/zoubin/papers/thesis.pdf27 Jan 2023: The series of experimentsin Chapters 2 and 3, are designed to test these models in two distinct sensorimotorsystems.There may be no single principle underlying the integration of information frommultiple sources ... We start, however, with the hypothesis -
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 -
~~~::'-"-~ ;~~ Cahiers de Psychologie Cognitive/~ Current…
https://mlg.eng.cam.ac.uk/zoubin/papers/KorGhaCPC.pdf27 Jan 2023: 16». When the distributionof the current sensory feedback (the middle factor in Eq. ... To test the effect of feedback on the ongoing movement, Korenbergand Ghahramani introduced a novel type of catch trial for. -
Journal of Machine Learning Research 10 (2009) 1187-1238 Submitted ...
https://mlg.eng.cam.ac.uk/pub/pdf/SilGha09.pdf13 Feb 2023: Y1. Y2 Y3. Figure 3: After marginalizing variablesH1 and H2 from the DAG on the left, one possible DMGrepresentation of the same dependencies is shown by the graph in the -
griffiths11a.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/GriGha11.pdf13 Feb 2023: Journal of Machine Learning Research 12 (2011) 1185-1224 Submitted 3/10; Revised 3/11; Published 4/11. The Indian Buffet Process: An Introduction and Review. Thomas L. Griffiths TOM GRIFFITHS@BERKELEY.EDUDepartment of PsychologyUniversity of
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