Papers
Global Analytic Solution for Variational Bayesian Matrix Factorization
Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka
Global seismic monitoring as probabilistic inference
Nimar Arora, Stuart Russell, Paul Kidwell et al.
Graph Kernels
S.V.N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor et al.
Graph-Valued Regression
Han Liu, Xi Chen, Larry Wasserman et al.
Group Sparse Coding with a Laplacian Scale Mixture Prior
Pierre Garrigues, Bruno A. Olshausen
Guaranteed Rank Minimization via Singular Value Projection
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
Guarantees for Approximate Incremental SVMs
Nicolas Usunier, Antoine Bordes, Léon Bottou
Half Transductive Ranking
Bing Bai, Jason Weston, David Grangier et al.
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model
Peggy Series, David P. Reichert, Amos J. Storkey
Hartigan’s Method: k-means Clustering without Voronoi
Matus Telgarsky, Andrea Vattani
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman
Heavy-Tailed Process Priors for Selective Shrinkage
Fabian L. Wauthier, Michael I. Jordan
Hierarchical Convex NMF for Clustering Massive Data
Kristian Kersting, Mirwaes Wahabzada, Christian Thurau et al.
Hierarchical Gaussian Process Regression
Sunho Park, Seungjin Choi
High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency
Dapo Omidiran, Martin J. Wainwright
Hilbert Space Embeddings and Metrics on Probability Measures
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu et al.
HOP-MAP: Efficient Message Passing with High Order Potentials
Daniel Tarlow, Inmar Givoni, Richard Zemel
How to Explain Individual Classification Decisions
David Baehrens, Timon Schroeter, Stefan Harmeling et al.
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
Miloš Radovanović
Humans Learn Using Manifolds, Reluctantly
Tim Rogers, Chuck Kalish, Joseph Harrison et al.
Identifying Cause and Effect on Discrete Data using Additive Noise Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Identifying Dendritic Processing
Aurel A. Lazar, Yevgeniy Slutskiy
Identifying graph-structured activation patterns in networks
James Sharpnack, Aarti Singh