Nonparametric Methods for Large Scale Representation Learning

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 Krompaß
[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]