Papers
Lattice Regression
Eric Garcia, Maya Gupta
Learning a Small Mixture of Trees
M. P. Kumar, Daphne Koller
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
Shuai Huang, Jing Li, Liang Sun et al.
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
Lei Wu, Rong Jin, Steven C. Hoi et al.
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
Massih R. Amini, Nicolas Usunier, Cyril Goutte
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
Tom Ouyang, Randall Davis
Learning in Markov Random Fields using Tempered Transitions
Ruslan Salakhutdinov
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition
Natasha Singh-miller, Michael Collins
Learning models of object structure
Joseph Schlecht, Kobus Barnard
Learning Non-Linear Combinations of Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Learning to Explore and Exploit in POMDPs
Chenghui Cai, Xuejun Liao, Lawrence Carin
Learning to Hash with Binary Reconstructive Embeddings
Brian Kulis, Trevor Darrell
Learning to Rank by Optimizing NDCG Measure
Hamed Valizadegan, Rong Jin, Ruofei Zhang et al.
Learning transport operators for image manifolds
Benjamin Culpepper, Bruno A. Olshausen
Learning with Compressible Priors
Volkan Cevher
Linear-time Algorithms for Pairwise Statistical Problems
Parikshit Ram, Dongryeol Lee, William March et al.
Locality-sensitive binary codes from shift-invariant kernels
Maxim Raginsky, Svetlana Lazebnik
Localizing Bugs in Program Executions with Graphical Models
Laura Dietz, Valentin Dallmeier, Andreas Zeller et al.
Local Rules for Global MAP: When Do They Work ?
Kyomin Jung, Pushmeet Kohli, Devavrat Shah
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
Garvesh Raskutti, Bin Yu, Martin J. Wainwright
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
Keith Bush, Joelle Pineau
Manifold Regularization for SIR with Rate Root-n Convergence
Wei Bian, Dacheng Tao
Matrix Completion from Noisy Entries
Raghunandan Keshavan, Andrea Montanari, Sewoong Oh
Matrix Completion from Power-Law Distributed Samples
Raghu Meka, Prateek Jain, Inderjit S. Dhillon