Papers
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
Elad Hazan, Satyen Kale
Sparse Estimation with Structured Dictionaries
David P. Wipf
Collective Graphical Models
Daniel R. Sheldon, Thomas G. Dietterich
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
Angela Yao, Juergen Gall, Luc V. Gool et al.
Submodular Multi-Label Learning
James Petterson, Tibério S. Caetano
Sparse Manifold Clustering and Embedding
Ehsan Elhamifar, René Vidal
Joint 3D Estimation of Objects and Scene Layout
Andreas Geiger, Christian Wojek, Raquel Urtasun
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
Ryota Kobayashi, Yasuhiro Tsubo, Petr Lansky et al.
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
George Konidaris, Scott Niekum, Philip S. Thomas
Structured sparse coding via lateral inhibition
Arthur D. Szlam, Karol Gregor, Yann L. Cun
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.
A rational model of causal inference with continuous causes
Thomas L. Griffiths, Michael James
How Do Humans Teach: On Curriculum Learning and Teaching Dimension
Faisal Khan, Bilge Mutlu, Xiaojin Zhu
Solving Decision Problems with Limited Information
Denis D. Maua, Cassio Campos
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms
Liefeng Bo, Xiaofeng Ren, Dieter Fox
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
Ichiro Takeuchi, Masashi Sugiyama
Differentially Private M-Estimators
Jing Lei
Reconstructing Patterns of Information Diffusion from Incomplete Observations
Flavio Chierichetti, David Liben-nowell, Jon M. Kleinberg
Demixed Principal Component Analysis
Wieland Brendel, Ranulfo Romo, Christian K. Machens
Learning with the weighted trace-norm under arbitrary sampling distributions
Rina Foygel, Ohad Shamir, Nati Srebro et al.
Contextual Gaussian Process Bandit Optimization
Andreas Krause, Cheng S. Ong
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
Michael Mozer, Benjamin Link, Harold Pashler
Distributed Delayed Stochastic Optimization
Alekh Agarwal, John C. Duchi
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani, Aurelie C. Lozano
Monte Carlo Value Iteration with Macro-Actions
Zhan Lim, Lee Sun, David Hsu