Nonparametric Methods for Large Scale Representation Learning

NIPS 2015 Workshop

Friday, 11 December, 2015
Convention and Exhibition Center, Montreal, Canada

Accepted Papers

Word, Graph, and Manifold Embedding from Markov Processes
Tatsunori B. Hashimoto, David Alvarez-Melis, and Tommi S. Jaakkola
[PDF]

Additive Co-Clustering of Gaussians and Poissons for Joint Modelling of Ratings and Reviews 
Chao-Yuan Wu*, Alex Beutel*, Amr Ahmed, and Alexander J. Smola
[PDF]

Distributed Convolutional Sparse Coding via Message Passing Interface (MPI)
Thomas Moreau, Laurent Oudre, and Nicolas Vayatis
[PDF]

Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking
Nicolas Goix, Anne Sabourin, and Stéphan Clémençon
[PDF]

Spectral Methods for the Hierarchical Dirichlet Process
Hsia-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, and Alexander J. Smola
[PDF]

Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Varying Processes
Hassan A. Kingravi, Harshal Maske, and Girish Chowdhary
[PDF]


Learning with Memory Embeddings
Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, and Denis Krompa
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[PDF]

Graph Sparsification Approaches for Laplacian Smoothing
Veeranjaneyulu Sadhanala*, Yu-Xiang Wang*, Alexander J. Smola, and Ryan Tibshirani
[PDF]

Generative Local Metric Learning for Nadaraya-Watson Kernel Estimation
Yung-Kyun Noh, Masashi Sugiyama, Kee-Eung Kim, Frank C. Park, and Daniel D. Lee
[PDF]

MAP for Exponential Family Dirichlet Process Mixture Models
Yordan P. Raykov, Alexis Boukouvalas, and Max A. Little
[PDF]

Transductive Log Opinion Pool of Gaussian Process Experts
Yanshuai Cao and David J. Fleet
[PDF]

Learning Dictionary with Spatial and Inter-dictionary Dependency
Yizhe Zhang, Ricardo Henao, Chunyuan Li, and Lawrence Carin
[PDF]

Back to the Future: Radial Basis Functions Revisited
Qichao Que and Mikhail Belkin
[PDF]

Scalable Non-linear Beta
Process Factor Analysis
Kai Fan and Katherine Heller
[PDF]