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

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

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

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

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

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

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

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

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

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

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

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

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

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