Papers
173,579 papers found
Gaussian Processes for time-marked time-series data
John Cunningham, Zoubin Ghahramani, Carl Rasmussen
GenDeR: A Generic Diversified Ranking Algorithm
Jingrui He, Hanghang Tong, Qiaozhu Mei et al.
Generalization Bounds for Domain Adaptation
Chao Zhang, Lei Zhang, Jieping Ye
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions
Yuyang Wang, Roni Khardon, Dmitry Pechyony et al.
Generalized Optimal Reverse Prediction
Martha White, Dale Schuurmans
Generic Methods for Optimization-Based Modeling
Justin Domke
glm-ie: Generalised Linear Models Inference & Estimation Toolbox
Hannes Nickisch
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
Alex Schwing, Tamir Hazan, Marc Pollefeys et al.
Globally Optimizing Graph Partitioning Problems Using Message Passing
Elad Mezuman, Yair Weiss
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression
Chiwoo Park, Jianhua Z. Huang, Yu Ding
Gradient-based kernel method for feature extraction and variable selection
Kenji Fukumizu, Chenlei Leng
Gradient Weights help Nonparametric Regressors
Samory Kpotufe, Abdeslam Boularias
Graphical Gaussian Vector for Image Categorization
Tatsuya Harada, Yasuo Kuniyoshi
Graphical Models via Generalized Linear Models
Eunho Yang, Genevera Allen, Zhandong Liu et al.
Graphlet decomposition of a weighted network
Hossein Azari Soufiani, Edo Airoldi
Guaranteeing High-Level Behaviors while Exploring Partially Known Maps
Shahar Sarid, Bingxin Xu, Hadas Kress-Gazit
Hamming Distance Metric Learning
Mohammad Norouzi, David J Fleet, Ruslan Salakhutdinov
Hierarchical Latent Dictionaries for Models of Brain Activation
Alona Fyshe, Emily Fox, David Dunson et al.
Hierarchical Motion Planning in Topological Representations
Dmitry Zarubin, Vladimir Ivan, Marc Toussaint et al.
Hierarchical Optimistic Region Selection driven by Curiosity
Odalric-ambrym Maillard
Hierarchical Relative Entropy Policy Search
Christian Daniel, Gerhard Neumann, Jan Peters
Hierarchical spike coding of sound
Yan Karklin, Chaitanya Ekanadham, Eero P. Simoncelli
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
Animashree Anandkumar, Vincent Y.F. Tan, Furong Huang et al.
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
Christopher Johnson, Ali Jalali, Pradeep Ravikumar
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
Jie Liu, Chunming Zhang, Catherine Mccarty et al.