%PDF-1.4
%
190 0 obj
<>/OCGs[193 0 R]>>/OutputIntents[187 0 R]/PageLabels 185 0 R/Pages 31 0 R/Type/Catalog>>
endobj
192 0 obj
<>/Font<>>>/Fields 197 0 R>>
endobj
189 0 obj
<>stream
2017-01-21T19:41:27-08:00
TeX
2017-01-22T15:24:13-08:00
2017-01-22T15:24:13-08:00
Machine Learning Methods
Acrobat Distiller 15.0 (Macintosh)
False
This is pdfTeX, Version 3.14159265-2.6-1.40.17 (TeX Live 2016) kpathsea version 6.2.2
application/pdf
Aditya Gopalan, Prashanth L.A., Michael Fu and Steve Marcus
Weighted Bandits Or: How Bandits Learn Distorted Values That Are Not Expected
Copyright© 2017 Association for the Advancement of Artificial Intelligence
Proceedings of the the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)
Machine Learning Methods
True
http://www.aaai.org
uuid:646c3277-1117-5045-bffc-bce12a1dbb37
uuid:2e72c8fe-895a-1b44-8290-16f63f91a5c7
1
B
endstream
endobj
185 0 obj
<>
endobj
31 0 obj
<>
endobj
2 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/Type/Page>>
endobj
32 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/Type/Page>>
endobj
40 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/Type/Page>>
endobj
44 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/Type/Page>>
endobj
49 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/Type/Page>>
endobj
52 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/Type/Page>>
endobj
55 0 obj
<>/Font<>/ProcSet[/PDF/Text]/XObject<>>>/Type/Page>>
endobj
216 0 obj
<>stream
HW[s۸~ϯ# xO:ݝ"lH-/q_s/ܙv ïw|Z˳//y6(g~8}gN}$g[q^W۲om]O*`Iqw}P0VY(ꪴӔ&o*[=,/v}/{ӌ|.y)F߉gcwWض{~ς)ۺp&p2M^ڟy~%o`$;<ބPIa+Aہ;ٝ諶k-8wƁz'⋈KJ6fo{C9Ϋb?فPʛgZ&ߛ4D~::pb25by{'
:
m?$i^XҶ:k,5{Su'OF gKΊ$\4v Gmk;0yaps_|/\"L!4aAowr;z9j8צx+nكDZ* GRŷ5ی~pշm
UPY,~_( X1^xl&8}>7JF8v#75t
c1-lrdŲXb
[@Y ~t=ָf(P51^'(,1]`=j|0]{ӦؼcIvcܷሡX;Za>UqOTC=e2vi[Ҩ:#orNM*8JbZSm
N0C."qK'BS=`+$U Saq4#NFT@t㍖fҝN`PK3wgIŚiDaN,/Wxm% u.HOE2>k/9?Շ+ %uogU0헣Pfju2έtgŅ|Xx78; 莂
&Y$!&29
IHd4e}ZpX,yn1]TBg+26HL|C5P͝ ;9;لpHQuUnxngsze+6^30\zQP\۰:W1M LiYsi3
U 1U |6iZf [ٟVJ 2Kٲmijq
IB hêm'R%
)!yݼ$MX)thlgo>a
πH _חy'ƙ Pa3g2ۺ4C
`sVrp?PH*(oY