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Machine Learning 4f13 Lent 2011
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/19 Nov 2023: Feb 22, 24. Variational approximations (2L): KL divergences, mean field, expectation propagation. -
Machine Learning 4f13 Lent 2010
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/19 Nov 2023: Feb 24, 25. Model comparison (1L): Bayes factors, Occam's razor, BIC, Laplace approximations. -
Machine Learning 4f13 Lent 2014
https://mlg.eng.cam.ac.uk/teaching/4f13/1314/19 Nov 2023: Feb 3, 6, 10, 13. Probabilistic Ranking. Feb 17, 20, 24, 27, Mar 3, 6. -
Statistical Approaches to Learning and Discovery Course Web Page
https://mlg.eng.cam.ac.uk/zoubin/SALD/27 Jan 2023: Week 14/15 (April 24, 29, May 1). Model Selection. Bayes Factors. -
Understanding the Bethe Approximation: When and How can it go Wrong?
https://mlg.eng.cam.ac.uk/adrian/pabc.pdf16 Jul 2024: 100. Maximum coupling strength y. BethelocalBethecycleBethemargTRWlocalTRWcycleTRWmarg. log partition error. 2 8 16 24 320. ... 2 8 16 24 320. 0.1. 0.2. 0.3. 0.4. Maximum coupling strength y. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [2022. James Urquhart Allingham, Florian Wenzel, Zelda E Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, -
Yarin Gal awarded Research Fellowship at St Catherine’s College,…
https://mlg.eng.cam.ac.uk/news/yarin-gal-awarded-research-fellowship-at-st-catherine-college-cambridge/3 Jul 2024: Mar 24, 2016. Well done to Yarin Gal who has been awarded the Michael and Morven Heller Research Fellowship at St Catherine’s College, Cambridge. -
Blind Justice: Fairness with Encrypted Sensitive Attributes
https://mlg.eng.cam.ac.uk/adrian/poster_ICML18_BlindJustice.pdf16 Jul 2024: Bank. Datasets and Feasibility. Adult Bank COMPAS German SQFn training examples 214 215 212 29 216d features 51 62 7 24 23p sensitive attributes 1 1 7 1 1certification 802 ms -
Clamping Variables and Approximate Inference
https://mlg.eng.cam.ac.uk/adrian/newsclamp.pdf16 Jul 2024: 0.1. 0.2. 0.3. 0.4. max interaction strength W 24 / 19. -
The Case for Process Fairness in Learning:Feature Selection for ...
https://mlg.eng.cam.ac.uk/adrian/grgic.pdf16 Jul 2024: Age 46% 56% 32%Gender 24% 50% 22%Race 24% 35% 15%. Table 3: Comparing judgment of fairness of each feature, of 54 male users, when they have differentknowledge about the ... Age 42% 63% 33%Gender 24% 54% 23%Race 18% 43% 18%. Table 5: Comparing judgment
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