Papers
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.
Hierarchical Probabilistic Models for Group Anomaly Detection
Liang Xiong, Barnabás Póczos, Jeff Schneider et al.
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
Xianxing Zhang, Lawrence Carin, David B. Dunson
High-dimensional Covariance Estimation Based On Gaussian Graphical Models
Shuheng Zhou, Philipp Rütimann, Min Xu et al.
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
How Do Humans Teach: On Curriculum Learning and Teaching Dimension
Faisal Khan, Bilge Mutlu, Xiaojin Zhu
Hyper-Sparse Optimal Aggregation
Stéphane Gaîffas, Guillaume Lecué
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam et al.
Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning
Liu Yang, Steve Hanneke, Jaime Carbonell
Identification and Representation of Homotopy Classes of Trajectories for Search-based Path Planning in 3D
Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kumar
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Shuai Huang, Jing Li, Jieping Ye et al.
Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez, Girish Kulkarni, Tamara L. Berg