%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 ] /Type /Pages /Count 9 >> 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 (2014) /EventType (Poster) /Description-Abstract (We propose a semi\055parametric and dynamic rank factor model for topic modeling\054 capable of \0501\051 discovering topic prevalence over time\054 and \0502\051 learning contemporary multi\055scale dependence structures\054 providing topic and word correlations as a byproduct\056 The high\055dimensional and time\055evolving ordinal\057rank observations \050such as word counts\051\054 after an arbitrary monotone transformation\054 are well accommodated through an underlying dynamic sparse factor model\056 The framework naturally admits heavy\055tailed innovations\054 capable of inferring abrupt temporal jumps in the importance of topics\056 Posterior inference is performed through straightforward Gibbs sampling\054 based on the forward\055filtering backward\055sampling algorithm\056 Moreover\054 an efficient data subsampling scheme is leveraged to speed up inference on massive datasets\056 The modeling framework is illustrated on two real datasets\072 the US State of the Union Address and the JSTOR collection from Science\056) /Producer (PyPDF2) /Title (Dynamic Rank Factor Model for Text Streams) /Date (2014) /ModDate (D\07220141202154316\05508\04700\047) /Published (2014) /Type (Conference Proceedings) /firstpage (2663) /Book (Advances in Neural Information Processing Systems 27) /Description (Paper accepted and presented at the Neural Information Processing Systems Conference \050http\072\057\057nips\056cc\057\051) /Editors (Z\056 Ghahramani and M\056 Welling and C\056 Cortes and N\056D\056 Lawrence and K\056Q\056 Weinberger) /Author (Shaobo Han\054 Lin Du\054 Esther Salazar\054 Lawrence Carin) /lastpage (2671) >> endobj 3 0 obj << /Type /Catalog /Pages 1 0 R >> endobj 4 0 obj << /Contents 13 0 R /Parent 1 0 R /Resources 14 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 48 0 R 49 0 R 50 0 R 51 0 R 52 0 R 53 0 R ] /Type /Page >> endobj 5 0 obj << /Contents 54 0 R /Parent 1 0 R /Resources 55 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 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 ] /Type /Page >> endobj 6 0 obj << /Contents 95 0 R /Parent 1 0 R /Resources 96 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 105 0 R 106 0 R 107 0 R 108 0 R 109 0 R 110 0 R 111 0 R 112 0 R 113 0 R 114 0 R 115 0 R 116 0 R 117 0 R 118 0 R 119 0 R 120 0 R ] /Type /Page >> endobj 7 0 obj << /Contents 121 0 R /Parent 1 0 R /Resources 122 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 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 ] /Type /Page >> endobj 8 0 obj << /Contents 142 0 R /Parent 1 0 R /Resources 143 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 144 0 R 145 0 R 146 0 R 147 0 R 148 0 R 149 0 R 150 0 R 151 0 R ] /Type /Page >> endobj 9 0 obj << /Contents 152 0 R /Parent 1 0 R /Resources 153 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 172 0 R 173 0 R 174 0 R ] /Type /Page >> endobj 10 0 obj << /Contents 175 0 R /Parent 1 0 R /Resources 176 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 253 0 R 254 0 R 255 0 R 256 0 R ] /Type /Page >> endobj 11 0 obj << /Contents 257 0 R /Parent 1 0 R /Resources 258 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 283 0 R ] /Type /Page >> endobj 12 0 obj << /Contents 284 0 R /Parent 1 0 R /Type /Page /Resources 285 0 R /MediaBox [ 0 0 612 792 ] >> endobj 13 0 obj << /Length 3222 /Filter /FlateDecode >> stream xڝYIW!Kl˲b3d`ǣ_- 1L*5ql{\* 7ao"4ޔ+"E"O7ܿ^y{Gal7a8dYE;l>zSfi>KMzNڃyOC< ۡ sϚtëoO~tꏟ?ljsDYvn؏Hp{2|o0ހs4+C@Yɜ߂ 'v5t,n\Y;Y; ~8Y孩ɀi
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