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Showing below up to 250 results in range #1 to #250.

1. 13Stat946papers‏‎ (22:41, 18 June 2013)
2. stat341 / CM 361‏‎ (09:45, 30 August 2017)
3. monte Carlo methods‏‎ (09:45, 30 August 2017)
4. schedule946‏‎ (09:45, 30 August 2017)
5. schedule‏‎ (09:45, 30 August 2017)
6. stat946f10‏‎ (09:45, 30 August 2017)
7. importance Sampling June 2 2009‏‎ (09:45, 30 August 2017)
8. maximum Variance Unfolding (June 2 2009)‏‎ (09:45, 30 August 2017)
9. techniques for Normal and Gamma Sampling‏‎ (09:45, 30 August 2017)
10. generating Random Numbers‏‎ (09:45, 30 August 2017)
11. acceptance-Rejection Sampling‏‎ (09:45, 30 August 2017)
12. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (09:45, 30 August 2017)
13. importance Sampling and Monte Carlo Simulation‏‎ (09:45, 30 August 2017)
14. monte Carlo Integration‏‎ (09:45, 30 August 2017)
15. bayesian and Frequentist Schools of Thought‏‎ (09:45, 30 August 2017)
16. a Deeper Look into Importance Sampling‏‎ (09:45, 30 August 2017)
17. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (09:45, 30 August 2017)
18. markov Chain Definitions‏‎ (09:45, 30 August 2017)
19. again on Markov Chain‏‎ (09:45, 30 August 2017)
20. paper 13‏‎ (09:45, 30 August 2017)
21. measuring Statistical Dependence with Hilbert-Schmidt Norm‏‎ (09:45, 30 August 2017)
22. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (09:45, 30 August 2017)
23. proposal for STAT946 projects‏‎ (09:45, 30 August 2017)
24. sparse PCA‏‎ (09:45, 30 August 2017)
25. neighbourhood Components Analysis‏‎ (09:45, 30 August 2017)
26. learning Spectral Clustering, With Application To Speech Separation‏‎ (09:45, 30 August 2017)
27. visualizing Similarity Data with a Mixture of Maps‏‎ (09:45, 30 August 2017)
28. learning a Nonlinear Embedding by Preserving Class Neighborhood Structure‏‎ (09:45, 30 August 2017)
29. independent Component Analysis: algorithms and applications‏‎ (09:45, 30 August 2017)
30. convex and Semi Nonnegative Matrix Factorization‏‎ (09:45, 30 August 2017)
31. relevant Component Analysis‏‎ (09:45, 30 August 2017)
32. graph Laplacian Regularization for Larg-Scale Semidefinite Programming‏‎ (09:45, 30 August 2017)
33. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization‏‎ (09:45, 30 August 2017)
34. visualizing Data using t-SNE‏‎ (09:45, 30 August 2017)
35. kernelized Sorting‏‎ (09:45, 30 August 2017)
36. regression on Manifold using Kernel Dimension Reduction‏‎ (09:45, 30 August 2017)
37. maximum-Margin Matrix Factorization‏‎ (09:45, 30 August 2017)
38. stat841‏‎ (09:45, 30 August 2017)
39. test1‏‎ (09:45, 30 August 2017)
40. wikicoursenote:Manual of Style‏‎ (09:45, 30 August 2017)
41. infoboxtest‏‎ (09:45, 30 August 2017)
42. statf09841Proposal‏‎ (09:45, 30 August 2017)
43. statf09841Scribe‏‎ (09:45, 30 August 2017)
44. stat841f10‏‎ (09:45, 30 August 2017)
45. proposal for STAT946 projects Fall 2010‏‎ (09:45, 30 August 2017)
46. stat946-Fall 2010‏‎ (09:45, 30 August 2017)
47. wikicoursenote:cleanup‏‎ (09:45, 30 August 2017)
48. statf10841Scribe‏‎ (09:45, 30 August 2017)
49. f10 Stat841 digest‏‎ (09:45, 30 August 2017)
50. sign up for your presentation‏‎ (09:45, 30 August 2017)
51. schedule of Project Presentations‏‎ (09:45, 30 August 2017)
52. proposal Fall 2010‏‎ (09:45, 30 August 2017)
53. proof of Theorem 1‏‎ (09:45, 30 August 2017)
54. paper Summaries‏‎ (09:45, 30 August 2017)
55. proof of Lemma 1‏‎ (09:45, 30 August 2017)
56. a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis‏‎ (09:45, 30 August 2017)
57. a Direct Formulation For Sparse PCA Using Semidefinite Programming‏‎ (09:45, 30 August 2017)
58. self-Taught Learning‏‎ (09:45, 30 August 2017)
59. discLDA: Discriminative Learning for Dimensionality Reduction and Classification‏‎ (09:45, 30 August 2017)
60. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (09:45, 30 August 2017)
61. compressive Sensing‏‎ (09:45, 30 August 2017)
62. deflation Methods for Sparse PCA‏‎ (09:45, 30 August 2017)
63. mark Your Contribution here‏‎ (09:45, 30 August 2017)
64. mark your contribution here‏‎ (09:45, 30 August 2017)
65. supervised Dictionary Learning‏‎ (09:45, 30 August 2017)
66. link to my paper‏‎ (09:45, 30 August 2017)
67. matrix Completion with Noise‏‎ (09:45, 30 August 2017)
68. probabilistic Matrix Factorization‏‎ (09:45, 30 August 2017)
69. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (09:45, 30 August 2017)
70. uncovering Shared Structures in Multiclass Classification‏‎ (09:45, 30 August 2017)
71. a Rank Minimization Heuristic with Application to Minimum Order System Approximation‏‎ (09:45, 30 August 2017)
72. compressive Sensing (Candes)‏‎ (09:45, 30 August 2017)
73. probabilistic PCA with GPLVM‏‎ (09:45, 30 August 2017)
74. multi-Task Feature Learning‏‎ (09:45, 30 August 2017)
75. optimal Solutions forSparse Principal Component Analysis‏‎ (09:45, 30 August 2017)
76. consistency of Trace Norm Minimization‏‎ (09:45, 30 August 2017)
77. copyofstat341‏‎ (09:45, 30 August 2017)
78. a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization‏‎ (09:45, 30 August 2017)
79. proof‏‎ (09:45, 30 August 2017)
80. stat341f11‏‎ (09:45, 30 August 2017)
81. f11Stat841EditorSignUp‏‎ (09:45, 30 August 2017)
82. singular Value Decomposition(SVD)‏‎ (09:45, 30 August 2017)
83. signupformStat341F11‏‎ (09:45, 30 August 2017)
84. stat946f11‏‎ (09:45, 30 August 2017)
85. f11Stat946presentation‏‎ (09:45, 30 August 2017)
86. stat946f11pool‏‎ (09:45, 30 August 2017)
87. f11Stat946ass‏‎ (09:45, 30 August 2017)
88. f11Stat946papers‏‎ (09:45, 30 August 2017)
89. f11stat946EditorSignUp‏‎ (09:45, 30 August 2017)
90. compressed Sensing Reconstruction via Belief Propagation‏‎ (09:45, 30 August 2017)
91. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (09:45, 30 August 2017)
92. tRIAL for that odd behaviour‏‎ (09:45, 30 August 2017)
93. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (09:45, 30 August 2017)
94. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (09:45, 30 August 2017)
95. a Dynamic Bayesian Network Click Model for Web Search Ranking‏‎ (09:45, 30 August 2017)
96. contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks‏‎ (09:45, 30 August 2017)
97. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (09:45, 30 August 2017)
98. markov Random Fields for Super-Resolution‏‎ (09:46, 30 August 2017)
99. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (09:46, 30 August 2017)
100. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (09:46, 30 August 2017)
101. quantifying cancer progression with conjunctive Bayesian networks‏‎ (09:46, 30 August 2017)
102. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (09:46, 30 August 2017)
103. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (09:46, 30 August 2017)
104. video-based face recognition using Adaptive HMM‏‎ (09:46, 30 August 2017)
105. an HDP-HMM for Systems with State Persistence‏‎ (09:46, 30 August 2017)
106. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (09:46, 30 August 2017)
107. stat340s13‏‎ (09:46, 30 August 2017)
108. stat946s13‏‎ (09:46, 30 August 2017)
109. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (09:46, 30 August 2017)
110. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models‏‎ (09:46, 30 August 2017)
111. maximum likelihood estimation of intrinsic dimension‏‎ (09:46, 30 August 2017)
112. s13Stat946proposal‏‎ (09:46, 30 August 2017)
113. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (09:46, 30 August 2017)
114. hierarchical Dirichlet Processes‏‎ (09:46, 30 August 2017)
115. kernel Dimension Reduction in Regression‏‎ (09:46, 30 August 2017)
116. kernelized Locality-Sensitive Hashing‏‎ (09:46, 30 August 2017)
117. hamming Distance Metric Learning‏‎ (09:46, 30 August 2017)
118. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (09:46, 30 August 2017)
119. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (09:46, 30 August 2017)
120. adaptive dimension reduction for clustering high dimensional data‏‎ (09:46, 30 August 2017)
121. large-Scale Supervised Sparse Principal Component Analysis‏‎ (09:46, 30 August 2017)
122. measuring and testing dependence by correlation of distances‏‎ (09:46, 30 August 2017)
123. metric and Kernel Learning Using a Linear Transformation‏‎ (09:46, 30 August 2017)
124. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (09:46, 30 August 2017)
125. the Indian Buffet Process: An Introduction and Review‏‎ (09:46, 30 August 2017)
126. nonparametric Latent Feature Models for Link Prediction‏‎ (09:46, 30 August 2017)
127. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (09:46, 30 August 2017)
128. cardinality Restricted Boltzmann Machines‏‎ (09:46, 30 August 2017)
129. stat841f14‏‎ (09:46, 30 August 2017)
130. sandbox to test w2l‏‎ (09:46, 30 August 2017)
131. f14Stat842EditorSignUp‏‎ (09:46, 30 August 2017)
132. graves et al., Speech recognition with deep recurrent neural networks‏‎ (09:46, 30 August 2017)
133. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (09:46, 30 August 2017)
134. stat946f15‏‎ (09:46, 30 August 2017)
135. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (09:46, 30 August 2017)
136. goingDeeperWithConvolutions‏‎ (09:46, 30 August 2017)
137. parsing natural scenes and natural language with recursive neural networks‏‎ (09:46, 30 August 2017)
138. human-level control through deep reinforcement learning‏‎ (09:46, 30 August 2017)
139. learning Hierarchical Features for Scene Labeling‏‎ (09:46, 30 August 2017)
140. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
141. dropout‏‎ (09:46, 30 August 2017)
142. deepGenerativeModels‏‎ (09:46, 30 August 2017)
143. deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
144. deep Sparse Rectifier Neural Networks‏‎ (09:46, 30 August 2017)
145. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (09:46, 30 August 2017)
146. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (09:46, 30 August 2017)
147. neural Turing Machines‏‎ (09:46, 30 August 2017)
148. learning2reasoning‏‎ (09:46, 30 August 2017)
149. imageNet Classification with Deep Convolutional Neural Networks‏‎ (09:46, 30 August 2017)
150. natural language processing (almost) from scratch.‏‎ (09:46, 30 August 2017)
151. from Machine Learning to Machine Reasoning‏‎ (09:46, 30 August 2017)
152. question Answering with Subgraph Embeddings‏‎ (09:46, 30 August 2017)
153. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (09:46, 30 August 2017)
154. genetics‏‎ (09:46, 30 August 2017)
155. memory Networks‏‎ (09:46, 30 August 2017)
156. deep Learning of the tissue-regulated splicing code‏‎ (09:46, 30 August 2017)
157. deep Convolutional Neural Networks For LVCSR‏‎ (09:46, 30 August 2017)
158. learning Phrase Representations‏‎ (09:46, 30 August 2017)
159. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (09:46, 30 August 2017)
160. deep Generative Stochastic Networks Trainable by Backprop‏‎ (09:46, 30 August 2017)
161. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (09:46, 30 August 2017)
162. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (09:46, 30 August 2017)
163. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (09:46, 30 August 2017)
164. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (09:46, 30 August 2017)
165. continuous space language models‏‎ (09:46, 30 August 2017)
166. generating text with recurrent neural networks‏‎ (09:46, 30 August 2017)
167. the Manifold Tangent Classifier‏‎ (09:46, 30 August 2017)
168. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (09:46, 30 August 2017)
169. distributed Representations of Words and Phrases and their Compositionality‏‎ (09:46, 30 August 2017)
170. on the Number of Linear Regions of Deep Neural Networks‏‎ (09:46, 30 August 2017)
171. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (09:46, 30 August 2017)
172. a fast learning algorithm for deep belief nets‏‎ (09:46, 30 August 2017)
173. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (09:46, 30 August 2017)
174. on using very large target vocabulary for neural machine translation‏‎ (09:46, 30 August 2017)
175. strategies for Training Large Scale Neural Network Language Models‏‎ (09:46, 30 August 2017)
176. learning Fast Approximations of Sparse Coding‏‎ (09:46, 30 August 2017)
177. on the difficulty of training recurrent neural networks‏‎ (09:46, 30 August 2017)
178. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (09:46, 30 August 2017)
179. semi-supervised Learning with Deep Generative Models‏‎ (09:46, 30 August 2017)
180. stat946f17‏‎ (23:10, 25 September 2017)
181. Deep Transfer Learning with Joint Adaptation Networks‏‎ (15:32, 2 October 2017)
182. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (12:54, 3 October 2017)
183. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (12:07, 26 October 2017)
184. Hash Embeddings for Efficient Word Representations‏‎ (19:44, 26 October 2017)
185. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (10:58, 28 October 2017)
186. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow‏‎ (03:56, 29 October 2017)
187. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks‏‎ (15:12, 7 November 2017)
188. STAT946F17/ Dance Dance Convolution‏‎ (14:50, 24 November 2017)
189. Hierarchical Question-Image Co-Attention for Visual Question Answering‏‎ (19:50, 28 November 2017)
190. Universal Style Transfer via Feature Transforms‏‎ (20:10, 28 November 2017)
191. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks‏‎ (20:18, 28 November 2017)
192. "Why Should I Trust You?": Explaining the Predictions of Any Classifier‏‎ (20:21, 28 November 2017)
193. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (20:24, 28 November 2017)
194. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (20:30, 28 November 2017)
195. Convolutional Sequence to Sequence Learning‏‎ (20:37, 28 November 2017)
196. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting‏‎ (20:40, 28 November 2017)
197. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary‏‎ (20:45, 28 November 2017)
198. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition‏‎ (13:19, 30 November 2017)
199. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (14:37, 30 November 2017)
200. STAT946F17/Decoding with Value Networks for Neural Machine Translation‏‎ (00:09, 3 December 2017)
201. Learning the Number of Neurons in Deep Networks‏‎ (01:20, 3 December 2017)
202. FeUdal Networks for Hierarchical Reinforcement Learning‏‎ (01:59, 3 December 2017)
203. Deep Exploration via Bootstrapped DQN‏‎ (14:17, 3 December 2017)
204. Modular Multitask Reinforcement Learning with Policy Sketches‏‎ (14:25, 3 December 2017)
205. Unsupervised Domain Adaptation with Residual Transfer Networks‏‎ (10:07, 4 December 2017)
206. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks‏‎ (10:18, 4 December 2017)
207. Conditional Image Synthesis with Auxiliary Classifier GANs‏‎ (10:24, 4 December 2017)
208. STAT946F17/ Learning Important Features Through Propagating Activation Differences‏‎ (10:26, 4 December 2017)
209. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback‏‎ (10:33, 4 December 2017)
210. Learning What and Where to Draw‏‎ (12:35, 4 December 2017)
211. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (12:47, 4 December 2017)
212. Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition‏‎ (15:00, 4 December 2017)
213. STAT946F17/ Coupled GAN‏‎ (15:02, 4 December 2017)
214. stat946f15/Sequence to sequence learning with neural networks‏‎ (19:49, 5 February 2018)
215. stat946w18/Spectral‏‎ (17:51, 22 February 2018)
216. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (22:22, 23 February 2018)
217. stat946w18/‏‎ (22:53, 28 February 2018)
218. stat441w18/summary 1‏‎ (12:51, 7 March 2018)
219. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (20:39, 9 March 2018)
220. stat441w18/Convolutional Neural Networks for Sentence Classification‏‎ (03:15, 13 March 2018)
221. stat441w18/e-gan‏‎ (22:00, 14 March 2018)
222. stat441w18/A New Method of Region Embedding for Text Classification‏‎ (12:42, 15 March 2018)
223. stat441w18/mastering-chess-and-shogi-self-play‏‎ (13:58, 15 March 2018)
224. summary‏‎ (17:34, 18 March 2018)
225. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction‏‎ (22:03, 19 March 2018)
226. A Knowledge-Grounded Neural Conversation Model‏‎ (13:09, 20 March 2018)
227. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (14:09, 20 March 2018)
228. Dynamic Routing Between Capsulesl‏‎ (19:54, 20 March 2018)
229. Learning Combinatorial Optimzation‏‎ (23:37, 20 March 2018)
230. Bag of Tricks for Efficient Text Classification‏‎ (22:32, 27 March 2018)
231. Generating Image Descriptions‏‎ (10:58, 29 March 2018)
232. Dynamic Routing Between Capsules‏‎ (12:36, 29 March 2018)
233. One pixel attack for fooling deep neural networks‏‎ (23:54, 30 March 2018)
234. Robust Imitation of Diverse Behaviors‏‎ (01:17, 7 April 2018)
235. stat946w18/Spectral normalization for generative adversial network‏‎ (10:31, 18 April 2018)
236. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data‏‎ (15:01, 18 April 2018)
237. Word translation without parallel data‏‎ (17:24, 18 April 2018)
238. Understanding Image Motion with Group Representations‏‎ (16:09, 20 April 2018)
239. On The Convergence Of ADAM And Beyond‏‎ (16:54, 20 April 2018)
240. Training And Inference with Integers in Deep Neural Networks‏‎ (21:23, 20 April 2018)
241. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (21:29, 20 April 2018)
242. A Neural Representation of Sketch Drawings‏‎ (21:48, 20 April 2018)
243. stat946w18/AmbientGAN: Generative Models from Lossy Measurements‏‎ (22:25, 20 April 2018)
244. Dynamic Routing Between Capsules STAT946‏‎ (22:40, 20 April 2018)
245. MarrNet: 3D Shape Reconstruction via 2.5D Sketches‏‎ (22:42, 20 April 2018)
246. Multi-scale Dense Networks for Resource Efficient Image Classification‏‎ (22:45, 20 April 2018)
247. stat946w18/Tensorized LSTMs‏‎ (22:50, 20 April 2018)
248. Spherical CNNs‏‎ (22:53, 20 April 2018)
249. Wavelet Pooling CNN‏‎ (22:57, 20 April 2018)
250. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space‏‎ (22:59, 20 April 2018)