Papers
From Bandits to Experts: On the Value of Side-Observations
Shie Mannor, Ohad Shamir
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
Skander Mensi, Richard Naud, Wulfram Gerstner
Gaussian process modulated renewal processes
Yee W. Teh, Vinayak Rao
Gaussian Process Training with Input Noise
Andrew Mchutchon, Carl E. Rasmussen
Generalised Coupled Tensor Factorisation
Kenan Y. Yılmaz, Ali T. Cemgil, Umut Simsekli
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Joseph Keshet, David A. McAllester
Generalized Beta Mixtures of Gaussians
Artin Armagan, Merlise Clyde, David B. Dunson
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
Nobuyuki Morioka, Shin'ichi Satoh
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
Gilles Blanchard, Gyemin Lee, Clayton Scott
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent
Shinichi Nakajima, Masashi Sugiyama, S. D. Babacan
Greedy Algorithms for Structurally Constrained High Dimensional Problems
Ambuj Tewari, Pradeep K. Ravikumar, Inderjit S. Dhillon
Greedy Model Averaging
Dong Dai, Tong Zhang
Group Anomaly Detection using Flexible Genre Models
Liang Xiong, Barnabás Póczos, Jeff G. Schneider
Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua L. Moore et al.
Heavy-tailed Distances for Gradient Based Image Descriptors
Yangqing Jia, Trevor Darrell
Hierarchically Supervised Latent Dirichlet Allocation
Adler J. Perotte, Frank Wood, Noemie Elhadad et al.
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms
Liefeng Bo, Xiaofeng Ren, Dieter Fox
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
Nico Goernitz, Christian K. Widmer, Georg Zeller et al.
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
Xianxing Zhang, Lawrence Carin, David B. Dunson
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar, Vincent Tan, Alan S. Willsky
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-ling Loh, Martin J. Wainwright
Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli et al.
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Benjamin Recht, Christopher Re, Stephen Wright et al.
How biased are maximum entropy models?
Jakob H. Macke, Iain Murray, Peter E. Latham