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Confidence Weighted Multitask Learning

AAAI 2019 · Bandits and online learning › Online convex optimization and games · approach: Online learning with feedback graphs · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add active adaptive-margin query to CWMT (ACWMT vs CWMT) (ablation)CWMT · Spam Emailqueried labels: 7068 -> 3983.2Helped
add active adaptive-margin query to CWMT (ablation)CWMT · MHC-Iqueried labels: 18664 -> 11388.5Helped
add active adaptive-margin query to CWMT (ablation)CWMT · EachMoviequeried labels: 6000 -> 3171.5Helped
add active adaptive-margin query to CWMT (ablation)CWMT · Spam Email, MHC-I, EachMoviecumulative error rate (%): 4.90 -> 4.89; 36.72 -> 36.73; 17.98 -> 17.97No clear effect
use second-order confidence-weighted multitask query (ACWMT) instead of first-order ALP queryALP · Spam Emailcumulative error rate (%): 7.49 -> 4.89Helped
use ACWMT instead of ALPALP · MHC-Icumulative error rate (%): 42.64 -> 36.73Helped
use ACWMT instead of ALPALP · EachMoviecumulative error rate (%): 21.64 -> 17.97Helped
use ACWMT instead of ALPALP · Spam Emailqueried labels: 5530.8 -> 3983.2Helped
add second-order confidence weighting (CWMT vs OSMTL-e)OSMTL-e · Spam Emailcumulative error rate (%): 5.22 -> 4.90Helped
add second-order confidence weighting (CWMT vs OSMTL-e)OSMTL-e · EachMoviecumulative error rate (%): 19.24 -> 17.98Helped
track covariance of weights (ACWMT vs OSMTL-e)OSMTL-e · Spam Emailrun time (s): 1.36 -> 11.49Hurt
vary query parameter h across 1e-4 to 1 (ablation)ACWMT vs ALP · three datasetscumulative error rate (%) at matched query ratioHelped

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