Combining Labeled and Unlabeled Data with Co-Trainingy Avrim Blum School of Computer Science Carnegie Mellon University Pittsburgh, PA

Source URL: www.cs.cmu.edu

Cloudlets: at the Leading Edge of Cloud-Mobile Convergence Mahadev Satyanarayanan School of Computer Science Carnegie Mellon University

Source URL: mobicase.org

Gaussian LDA for Topic Models with Word Embeddings Rajarshi Das* , Manzil Zaheer* , Chris Dyer School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA {rajarshd, manzilz, cdyer} @cs.cmu.edu

Source URL: www.manzil.ml

Gaussian LDA for Topic Models with Word Embeddings Rajarshi Das* , Manzil Zaheer* , Chris Dyer School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA {rajarshd, manzilz, cdyer} @cs.cmu.edu

Source URL: manzil.ml

• Statistics
• Statistical natural language processing
• Machine learning
• Probability
• Latent Dirichlet allocation
• Topic model
• Latent semantic analysis
• Word2vec
• Semantic similarity
• Vector space model
• Word embedding
• Gibbs sampling

Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models Avinava Dubey School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213

Source URL: sinead.github.io

Nonparametric Tree Graphical Models via Kernel Embeddings 1 Le Song,1 Arthur Gretton,1,2 Carlos Guestrin1 School of Computer Science, Carnegie Mellon University; 2 MPI for Biological Cybernetics

Source URL: www.gatsby.ucl.ac.uk

Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models Avinava Dubey School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213

Source URL: sinead.github.io

Random Walk Features for Network-aware Topic Models Ahmed Hefny, Geoffrey Gordon, Katia Sycara School of Computer Science Carnegie Mellon University 5000 Forbes Ave

Source URL: www.cs.cmu.edu

Unsupervised Visual Representation Learning by Context Prediction Carl Doersch1,2 School of Computer Science Carnegie Mellon University 2

Source URL: arxiv.org

What’s Worthy of Comment? Content and Comment Volume in Political Blogs∗ Tae Yano and Noah A. Smith {taey,nasmith}@cs.cmu.edu School of Computer Science Carnegie Mellon University

Source URL: homes.cs.washington.edu