Papers
176,624 papers found
Gaussian Process Preference Elicitation
Shengbo Guo, Scott Sanner, Edwin V. Bonilla
Gaussian sampling by local perturbations
George Papandreou, Alan L. Yuille
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
Gideon S. Mann, Andrew McCallum
Generalized Power Method for Sparse Principal Component Analysis
Michel Journée, Yurii Nesterov, Peter Richtárik et al.
Generalized roof duality and bisubmodular functions
Vladimir Kolmogorov
Generating more realistic images using gated MRF's
Marc'aurelio Ranzato, Volodymyr Mnih, Geoffrey E. Hinton
Generative Local Metric Learning for Nearest Neighbor Classification
Yung-kyun Noh, Byoung-tak Zhang, Daniel D. Lee
Generative Models of Information Diffusion with Asynchronous Timedelay
Kazumi Saito, Masahiro Kimura, Kouzou Ohara et al.
Getting lost in space: Large sample analysis of the resistance distance
Ulrike V. Luxburg, Agnes Radl, Matthias Hein
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