Papers
173,579 papers found
Gaussian Process Training with Input Noise
Andrew Mchutchon, Carl E. Rasmussen
Generalised Coupled Tensor Factorisation
Kenan Y. Yılmaz, Ali T. Cemgil, Umut Simsekli
Generalization Bound for Infinitely Divisible Empirical Process
Chao Zhang, Dacheng Tao
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
Generalized TD Learning
Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe et al.
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
Gilles Blanchard, Gyemin Lee, Clayton Scott
Generative Kernels for Exponential Families
Arvind Agarwal, Hal Daumé III
Generative Modeling for Maximizing Precision and Recall in Information Visualization
Jaakko Peltonen, Samuel Kaski
Global Motion Planning under Uncertain Motion, Sensing, and Environment Map
Hanna Kurniawati, Tirthankar Bandyopadhyay, Nicholas Patrikalakis
Global Optimization of Robotic Grasps
Carlos Rosales Gallegos, Josep Porta, Lluis Ros
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
Group Lasso Estimation of High-dimensional Covariance Matrices
Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes et al.
Group Orthogonal Matching Pursuit for Logistic Regression
Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe
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
Hidden-Unit Conditional Random Fields
Laurens van der Maaten, Max Welling, Lawrence Saul
Hierarchical Knowledge Gradient for Sequential Sampling
Martijn R.K. Mes, Warren B. Powell, Peter I. Frazier
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.