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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. -
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 -
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. -
Bayesian Structured Prediction using Gaussian Processes Sébastien…
https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaGha14a.pdf13 Feb 2023: For each session, we use 10 videosto train a chain CRF or GPstruct and the rest as test data. ... f MAP scheme, thinning at1:1 000. middle: Effect of thinning, i.e. -
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. -
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 -
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. -
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 -
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 -
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.
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