Papers
Learning Latent Tree Graphical Models
Myung Jin Choi, Vincent Y.F. Tan, Animashree Anandkumar et al.
Learning low-rank output kernels
Francesco Dinuzzo, Kenji Fukumizu
Learning mixtures of Gaussians with maximum-a-posteriori oracle
Satyaki Mahalanabis
Learning Multi-modal Similarity
Brian McFee, Gert Lanckriet
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
Chun-Nam Yu, Russell Greiner, Hsiu-Chin Lin et al.
Learning person-object interactions for action recognition in still images
Vincent Delaitre, Josef Sivic, Ivan Laptev
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
Angela Yao, Juergen Gall, Luc V. Gool et al.
Learning Rules from Incomplete Examples via Implicit Mention Models
Janardhan Rao Doppa, Mohammad Shahed Sorower, Mohammad Nasresfahani et al.
Learning Scale Free Networks by Reweighted $\ell_1$ regularization
Qiang Liu, Alexander Ihler
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Zhen J. Xiang, Hao Xu, Peter J. Ramadge
Learning to Agglomerate Superpixel Hierarchies
Viren Jain, Srinivas C. Turaga, K Briggman et al.
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
Marc Deisenroth, Carl Rasmussen, Dieter Fox
Learning to Learn with Compound HD Models
Antonio Torralba, Joshua B. Tenenbaum, Ruslan Salakhutdinov
Learning to Locate Relative Outliers
Shukai Li, Ivor W. Tsang
Learning to Search Efficiently in High Dimensions
Zhen Li, Huazhong Ning, Liangliang Cao et al.
Learning Transformation Models for Ranking and Survival Analysis
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens et al.
Learning unbelievable probabilities
Zachary Pitkow, Yashar Ahmadian, Ken D. Miller
Learning with Structured Sparsity
Junzhou Huang, Tong Zhang, Dimitris Metaxas
Learning with the weighted trace-norm under arbitrary sampling distributions
Rina Foygel, Ohad Shamir, Nati Srebro et al.
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
David Wingate, Andreas Stuhlmueller, Noah Goodman
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
Zhouchen Lin, Risheng Liu, Zhixun Su
Linear Submodular Bandits and their Application to Diversified Retrieval
Yisong Yue, Carlos Guestrin
Linear-Time Estimators for Propensity Scores
Deepak Agarwal, Lihong Li, Alexander Smola
Load Balancing for Mobility-on-Demand Systems
Marco Pavone, Stephen Smith, Emilio Frazzoli et al.
Locally Defined Principal Curves and Surfaces
Umut Ozertem, Deniz Erdogmus