en
0.25
0.5
0.75
1.25
1.5
1.75
2
Model Selection in Exploration
Published on Feb 4, 20254069 Views
I will discuss model selection in 4 settings: {Selective Sampling, Partial Feedback} x {Agnostic,Realizable}. In selective sampling, you choose on which examples to acquire a label. In partial feedbac
Related categories
Presentation
Model Selection in Exploration00:00
Supervised ERM Learning - 0100:30
Supervised ERM Learning - 0201:14
Supervised ERM Learning - 0301:37
Supervised Model Selection - 0103:07
Supervised Model Selection - 0204:24
Supervised Model Selection - 0305:02
What happens when there is exploration?06:03
Realizable Active Learning (RAL) - 0107:11
Realizable Active Learning (RAL) - 0208:11
Model Selection for RAL - 0113:19
Model Selection for RAL - 0213:48
Model Selection for RAL - 0314:43
Model Selection for RAL - 0415:38
Agnostic Active Learning - 0118:45
Agnostic Active Learning - 0219:53
Label Complexity - 0121:32
Label Complexity - 0224:37
Model Selection for AAL - 0128:38
Model Selection for AAL - 0228:57
Model Selection for AAL - 0331:02
Agnostic Contextual Bandits31:52
EXP4P analysis35:53
Model Selection for CBs - 0136:44
Model Selection for CBs - 0237:16
Model Selection for CBs - 0340:15
Realizable Contextual Bandits - 0142:23
Realizable Contextual Bandits - 0243:29
Realizable CB analysis - 0145:54
Realizable CB analysis - 0246:11
Model Selection for RCB - 0146:44
Model Selection for RCB - 0247:06
The Cost of Model Selection - 0147:52
The Cost of Model Selection - 0248:19