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  1. A Deeper Look into Importance Sampling →‎ a Deeper Look into Importance Sampling
  2. A Direct Formulation For Sparse PCA Using Semidefinite Programming →‎ a Direct Formulation For Sparse PCA Using Semidefinite Programming
  3. A Dynamic Bayesian Network Click Model for Web Search Ranking →‎ a Dynamic Bayesian Network Click Model for Web Search Ranking
  4. A Dynamic Bayesian Network Click Model for web search ranking →‎ a Dynamic Bayesian Network Click Model for web search ranking
  5. A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →‎ a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
  6. A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →‎ a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis
  7. A Rank Minimization Heuristic with Application to Minimum Order System Approximation →‎ a Rank Minimization Heuristic with Application to Minimum Order System Approximation
  8. A fast learning algorithm for deep belief nets →‎ a fast learning algorithm for deep belief nets
  9. Acceptance-Rejection Sampling →‎ acceptance-Rejection Sampling
  10. Adaptive dimension reduction for clustering high dimensional data →‎ adaptive dimension reduction for clustering high dimensional data
  11. Again on Markov Chain →‎ again on Markov Chain
  12. AmbientGAN: Generative Models from Lossy Measurements →‎ stat946w18/AmbientGAN: Generative Models from Lossy Measurements
  13. An HDP-HMM for Systems with State Persistence →‎ an HDP-HMM for Systems with State Persistence
  14. Bayesian and Frequentist Schools of Thought →‎ bayesian and Frequentist Schools of Thought
  15. Binomial Probability Monte Carlo Sampling June 2 2009 →‎ binomial Probability Monte Carlo Sampling June 2 2009
  16. Cardinality Restricted Boltzmann Machines →‎ cardinality Restricted Boltzmann Machines
  17. Cm361 →‎ cm361
  18. Compressed Sensing Reconstruction via Belief Propagation →‎ compressed Sensing Reconstruction via Belief Propagation
  19. Compressive Sensing →‎ compressive Sensing
  20. Compressive Sensing (Candes) →‎ compressive Sensing (Candes)
  21. Consistency of Trace Norm Minimization →‎ consistency of Trace Norm Minimization
  22. Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis →‎ context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis
  23. Continuous space language models →‎ continuous space language models
  24. Contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis →‎ contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis
  25. Contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks →‎ contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks
  26. Contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models →‎ contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models
  27. Convex and Semi Nonnegative Matrix Factorization →‎ convex and Semi Nonnegative Matrix Factorization
  28. Copyofstat341 →‎ copyofstat341
  29. Decentralised Data Fusion: A Graphical Model Approach (Summary) →‎ decentralised Data Fusion: A Graphical Model Approach (Summary)
  30. DeepGenerativeModels →‎ deepGenerativeModels
  31. Deep Convolutional Neural Networks For LVCSR →‎ deep Convolutional Neural Networks For LVCSR
  32. Deep Generative Stochastic Networks Trainable by Backprop →‎ deep Generative Stochastic Networks Trainable by Backprop
  33. Deep Learning of the tissue-regulated splicing code →‎ deep Learning of the tissue-regulated splicing code
  34. Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships →‎ deep Neural Nets as a Method for Quantitative Structure–Activity Relationships
  35. Deep Sparse Rectifier Neural Networks →‎ deep Sparse Rectifier Neural Networks
  36. Deep neural networks for acoustic modeling in speech recognition →‎ deep neural networks for acoustic modeling in speech recognition
  37. Deflation Method for Penalized Matrix Decomposition Sparse PCA →‎ deflation Method for Penalized Matrix Decomposition Sparse PCA
  38. Deflation Methods for Sparse PCA →‎ deflation Methods for Sparse PCA
  39. Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →‎ dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
  40. DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification →‎ discLDA: Discriminative Learning for Dimensionality Reduction and Classification
  41. Distributed Representations of Words and Phrases and their Compositionality →‎ distributed Representations of Words and Phrases and their Compositionality
  42. Dropout →‎ dropout
  43. Extracting and Composing Robust Features with Denoising Autoencoders →‎ extracting and Composing Robust Features with Denoising Autoencoders
  44. F10 Stat841 digest →‎ f10 Stat841 digest
  45. F11Stat841EditorSignUp →‎ f11Stat841EditorSignUp
  46. F11Stat841presentation →‎ f11Stat841presentation
  47. F11Stat841proposal →‎ f11Stat841proposal
  48. F11Stat946ass →‎ f11Stat946ass
  49. F11Stat946papers →‎ f11Stat946papers
  50. F11Stat946presentation →‎ f11Stat946presentation

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