%PDF-1.3
1 0 obj
<<
/Kids [ 4 0 R 5 0 R 6 0 R 7 0 R 8 0 R 9 0 R 10 0 R 11 0 R 12 0 R 13 0 R 14 0 R ]
/Type /Pages
/Count 11
>>
endobj
2 0 obj
<<
/Subject (Neural Information Processing Systems http\072\057\057nips\056cc\057)
/Publisher (Curran Associates\054 Inc\056)
/Language (en\055US)
/Created (2019)
/EventType (Poster)
/Description-Abstract (A key challenge in crowdsourcing is inferring the ground truth from noisy and unreliable data\056 To do so\054 existing approaches rely on collecting redundant information from the crowd\054 and aggregating it with some probabilistic method\056 However\054 oftentimes such methods are computationally inefficient\054 are restricted to some specific settings\054 or lack theoretical guarantees\056 In this paper\054 we revisit the problem of binary classification from crowdsourced data\056 Specifically we propose Streaming Bayesian Inference for Crowdsourcing \050SBIC\051\054 a new algorithm that does not suffer from any of these limitations\056 First\054 SBIC has low complexity and can be used in a real\055time online setting\056 Second\054 SBIC has the same accuracy as the best state\055of\055the\055art algorithms in all settings\056 Third\054 SBIC has provable asymptotic guarantees both in the online and offline settings\056)
/Producer (PyPDF2)
/Title (Streaming Bayesian Inference for Crowdsourced Classification)
/Date (2019)
/ModDate (D\07220200213045637\05508\04700\047)
/Published (2019)
/Type (Conference Proceedings)
/firstpage (12782)
/Book (Advances in Neural Information Processing Systems 32)
/Description (Paper accepted and presented at the Neural Information Processing Systems Conference \050http\072\057\057nips\056cc\057\051)
/Editors (H\056 Wallach and H\056 Larochelle and A\056 Beygelzimer and F\056 d\047Alch\351\055Buc and E\056 Fox and R\056 Garnett)
/Author (Edoardo Manino\054 Long Tran\055Thanh\054 Nicholas Jennings)
/lastpage (12792)
>>
endobj
3 0 obj
<<
/Type /Catalog
/Pages 1 0 R
>>
endobj
4 0 obj
<<
/Contents 15 0 R
/Parent 1 0 R
/Resources 16 0 R
/MediaBox [ 0 0 612 792 ]
/Annots [ 78 0 R 79 0 R 80 0 R 81 0 R 82 0 R 83 0 R 84 0 R 85 0 R 86 0 R 87 0 R 88 0 R 89 0 R 90 0 R 91 0 R 92 0 R 93 0 R 94 0 R 95 0 R 96 0 R 97 0 R 98 0 R 99 0 R 100 0 R 101 0 R 102 0 R ]
/Type /Page
>>
endobj
5 0 obj
<<
/Contents 103 0 R
/Parent 1 0 R
/Resources 104 0 R
/MediaBox [ 0 0 612 792 ]
/Annots [ 128 0 R 129 0 R 130 0 R 131 0 R 132 0 R 133 0 R 134 0 R 135 0 R 136 0 R 137 0 R 138 0 R 139 0 R 140 0 R 141 0 R 142 0 R 143 0 R 144 0 R 145 0 R 146 0 R 147 0 R 148 0 R 149 0 R 150 0 R 151 0 R 152 0 R 153 0 R ]
/Type /Page
>>
endobj
6 0 obj
<<
/Contents 154 0 R
/Parent 1 0 R
/Resources 155 0 R
/MediaBox [ 0 0 612 792 ]
/Annots [ 180 0 R 181 0 R 182 0 R 183 0 R 184 0 R 185 0 R 186 0 R 187 0 R 188 0 R 189 0 R 190 0 R 191 0 R 192 0 R 193 0 R 194 0 R 195 0 R 196 0 R 197 0 R 198 0 R 199 0 R 200 0 R 201 0 R 202 0 R 203 0 R 204 0 R 205 0 R 206 0 R 207 0 R 208 0 R 209 0 R 210 0 R 211 0 R 212 0 R 213 0 R 214 0 R 215 0 R 216 0 R 217 0 R ]
/Type /Page
>>
endobj
7 0 obj
<<
/Contents 218 0 R
/Parent 1 0 R
/Resources 219 0 R
/MediaBox [ 0 0 612 792 ]
/Annots [ 254 0 R 255 0 R 256 0 R 257 0 R 258 0 R 259 0 R 260 0 R 261 0 R 262 0 R 263 0 R 264 0 R 265 0 R 266 0 R 267 0 R 268 0 R 269 0 R 270 0 R 271 0 R 272 0 R 273 0 R 274 0 R 275 0 R ]
/Type /Page
>>
endobj
8 0 obj
<<
/Contents 276 0 R
/Parent 1 0 R
/Resources 277 0 R
/MediaBox [ 0 0 612 792 ]
/Annots [ 282 0 R 283 0 R 284 0 R 285 0 R 286 0 R 287 0 R 288 0 R 289 0 R 290 0 R 291 0 R 292 0 R ]
/Type /Page
>>
endobj
9 0 obj
<<
/Contents 293 0 R
/Parent 1 0 R
/Resources 294 0 R
/MediaBox [ 0 0 612 792 ]
/Annots [ 295 0 R 296 0 R 297 0 R 298 0 R 299 0 R 300 0 R 301 0 R 302 0 R 303 0 R 304 0 R 305 0 R 306 0 R ]
/Type /Page
>>
endobj
10 0 obj
<<
/Contents 307 0 R
/Parent 1 0 R
/Resources 308 0 R
/MediaBox [ 0 0 612 792 ]
/Annots [ 309 0 R 310 0 R 311 0 R 312 0 R 313 0 R 314 0 R 315 0 R 316 0 R 317 0 R 318 0 R 319 0 R ]
/Type /Page
>>
endobj
11 0 obj
<<
/Contents 320 0 R
/Parent 1 0 R
/Resources 321 0 R
/MediaBox [ 0 0 612 792 ]
/Annots [ 345 0 R 346 0 R 347 0 R 348 0 R 349 0 R 350 0 R 351 0 R 352 0 R 353 0 R 354 0 R 355 0 R 356 0 R 357 0 R 358 0 R 359 0 R 360 0 R 361 0 R 362 0 R 363 0 R ]
/Type /Page
>>
endobj
12 0 obj
<<
/Contents 364 0 R
/Parent 1 0 R
/Resources 365 0 R
/MediaBox [ 0 0 612 792 ]
/Annots [ 374 0 R 375 0 R ]
/Type /Page
>>
endobj
13 0 obj
<<
/Contents 376 0 R
/Parent 1 0 R
/Type /Page
/Resources 377 0 R
/MediaBox [ 0 0 612 792 ]
>>
endobj
14 0 obj
<<
/Contents 378 0 R
/Parent 1 0 R
/Type /Page
/Resources 379 0 R
/MediaBox [ 0 0 612 792 ]
>>
endobj
15 0 obj
<<
/Length 3196
/Filter /FlateDecode
>>
stream
xڭYYs~ׯGl,ؒ%G8!T+Z3>_O`-)V*O z>nD"Z&:{~z#b!|EydQnQBE,zxx7oo|!,"7!.EaM
~)mݮ+D[Q`ZL>֖IK]`GM4'[(B&|FC(뮥oߜ K y{-*4?]1'0{sXWGӎT(c01tqNCnF֭yC({5t+{Thuq)g44$Δ@;3v+ F<w1CI#\0?eHs<0njޑ7mF)Թ8"JYƐ/%]VIKuGdwk[\J4&5-E[aO0s*(E1 3heYDwPF%ۏWDHkݬGj2fPsfꌳe,!c~[[a/ڇz[;X#B0P5~L̆?ț'bPU**knD nY3k/; q1%R$ų(`K\27e9!-E=XU&Bd2f[g QIjVYQ lq~@o2HT721ː{r2g^aKi&g;1V;$͂RziS,#/0WUA cJ1C!83睊V
YԻy pt66rd2vNF; 7lfڒYkN?iWsP;76HE7MVn*OF_o:reS8k7S8#EfKPIJu&EQ:CzzNQ2._>=VQXtz_fZyra7d5E