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- Machine Learning 4F13, Spring 2015
https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect0304.pdf19 Nov 2023: 1. 0. 1. 2M=0. 1 0 1 24. 2. 0. 2. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. -
Blind Justice: Fairness with Encrypted Sensitive Attributes
https://mlg.eng.cam.ac.uk/adrian/ICML18-BlindJustice.pdf19 Jun 2024: d features 51 62 7 24 23p sensitive attr. 1 1 7 1 1certification 802 ms 827 ms 288 ms 250 ms 765 mstraining 43 min 51 min 7 min 1 ... Bennett Capers, I. Blind justice. Yale Journal of Law &Humanities, 24:179, 2012. -
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 -
ICML-Presentation
https://mlg.eng.cam.ac.uk/zoubin/talks/ICML-Presentation.pdf27 Jan 2023: International Conference onMachine Learning. Corvallis, Oregon, June 20-24 2007. Summary Presentation:Statistics, Awards, Comments. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1213/lect0304.pdf19 Nov 2023: 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. ... p(x, y)dy = p(x):. wkp(w)dw =. wk(. p(wk, w/k)dw/k. )dwk =. wkp(wk)dwk. Rasmussen & Ghahramani (CUED) Lecture 3 and 4: Gaussian Processes 24 / 32. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning 24 / 26. -
paper.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/KimGha08.pdf13 Feb 2023: GPC log-ev -24.40.6 -41.80.8 -51.81.1 -60.21.0error(%) 3.700.36 4.900.77 7.500.88 8.151.42. robust log-ev ... MS-robust- log-ev -24.40.6 -41.00.7 -50.50.7 -58.60.8GPC error(%) 3.700.36 4.540.62 6.760.76 6.850.73. -
book
https://mlg.eng.cam.ac.uk/pub/pdf/PerGhaPon07.pdf13 Feb 2023: 1.23). subject to:. wt φt(xn, ynt) wt φt(xn, yt) Mynt,yt ξnt n, t, yt (1.24). ... We end up having a significant reduction in the number ofconstraints2 in our optimisation formulation for CGMs in (1.23)-(1.24). -
Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: ...
https://mlg.eng.cam.ac.uk/pub/pdf/DeiRasPet08.pdf13 Feb 2023: pages 19–24, Bruges, Belgium, April 2008. Model-Based Reinforcement Learning withContinuous States and Actions. -
1 Automatic Causal Discovery Richard Scheines Peter Spirtes, Clark ...
https://mlg.eng.cam.ac.uk/zoubin/SALD/scheines.pdf27 Jan 2023: Τ2. Μ4. 24. D-separation Equivalence Over a set XXXX. Let X = {X1,X2,X3}, then Ga and Gb1) are not d-separation equivalent, but.
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