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preferential_fairness_nips_2017.pages
https://mlg.eng.cam.ac.uk/adrian/preferential_fairness_nips_2017.pdf16 May 2024: 4. New notions of fairness. M (100). W (100)M (200) W (200). ... Benefit: 0% (M), 67% (W). M (100). W (100)M (200) W (200). -
Exploring Properties of the Deep Image Prior Andreas…
https://mlg.eng.cam.ac.uk/adrian/NeurIPS_2019_DIP7.pdf16 May 2024: This is confirmed by the confidenceof the DIP output, which increased to > 0:5 after just 200 iterations. ... 2. (a) 100 iterationsConf.: 0.004. (b) 200 iterationsConf.: 0.52. (c) 300 iterationsConf.: 0.72. -
ML-IRL: Machine Learning in Real Life Workshop at ICLR ...
https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-CLUE.pdf16 May 2024: MNIST 2 1200 6 -LSAT 2 200 3 300. COMPAS 2 200 3 300. -
Network Ranking With Bethe Pseudomarginals Kui TangColumbia…
https://mlg.eng.cam.ac.uk/adrian/2013_NeurIPS_DiscML_Network.pdf16 May 2024: We drew independent nodescores from a mixture of Gaussians and a scale free network (100 nodes, 200 edges) from the Barabsi-Albertmodel [12]. -
TibGM: A Transferable and Information-Based Graphical Model Approach…
https://mlg.eng.cam.ac.uk/adrian/ICML2019-TibGM.pdf16 May 2024: 0 100 200 300 400 500. 103 steps0. 50. 100. 150. ... 200. 250. 300. 350. retu. rn. (a) Swimmer (rllab). 0 250 500 750 1000 1250 1500 1750 2000. -
From Parity to Preference-based Notionsof Fairness in Classification…
https://mlg.eng.cam.ac.uk/adrian/NeurIPS17-from-parity-to-preference.pdf16 May 2024: W (100)M (200) W (200). f2. f1Acc: 0.83. Benefit: 0% (M), 67% (W). ... M (100). W (100)M (200) W (200). f2. f1Acc: 0.72. Benefit: 22% (M), 22% (W)Acc: 1.00. -
Understanding the Bethe Approximation: When and How can it ...
https://mlg.eng.cam.ac.uk/adrian/abc.pdf16 May 2024: Understanding the Bethe Approximation: When and How can it go Wrong? Adrian WellerColumbia UniversityNew York NY 10027. adrian@cs.columbia.edu. Kui TangColumbia UniversityNew York NY 10027. kt2384@cs.columbia.edu. David SontagNew York UniversityNew -
Now You See Me (CME): Concept-based Model Extraction
https://mlg.eng.cam.ac.uk/adrian/AIMLAI20-CME.pdf16 May 2024: This dataset consists of 11,788 im-ages of 200 bird species with every image annotatedusing 312 binary concept labels (e.g. ... 28] C. Wah, S. Branson, P. Welinder, P. Perona, S. Be-longie, The caltech-ucsd birds-200-2011 dataset(2011). -
2018 Formatting Instructions for Authors Using LaTeX
https://mlg.eng.cam.ac.uk/adrian/AIES18-crowd_signals.pdf16 May 2024: Weuse this set of 200 labeled tweets as our ground truth dataset. -
Beyond Distributive Fairness in Algorithmic Decision Making: Feature…
https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf16 May 2024: For a given dataset, we gather responses to the abovequestions from 200 different AMT workers (that is, each fea-ture is judged by 200 different workers).
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