Papers
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction
Hua Wang, Feiping Nie, Heng Huang et al.
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity
Angela Eigenstetter, Bjorn Ommer
Delay Compensation with Dynamical Synapses
Chi Fung, K. Wong, Si Wu
Probabilistic n-Choose-k Models for Classification and Ranking
Kevin Swersky, Brendan J. Frey, Daniel Tarlow et al.
Non-parametric Approximate Dynamic Programming via the Kernel Method
Nikhil Bhat, Vivek Farias, Ciamac C. Moallemi
Scalable imputation of genetic data with a discrete fragmentation-coagulation process
Lloyd Elliott, Yee W. Teh
Gradient-based kernel method for feature extraction and variable selection
Kenji Fukumizu, Chenlei Leng
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
Ulugbek Kamilov, Sundeep Rangan, Michael Unser et al.
Risk-Aversion in Multi-armed Bandits
Amir Sani, Alessandro Lazaric, Rémi Munos
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
Sanja Fidler, Sven Dickinson, Raquel Urtasun
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes
Michael Bryant, Erik B. Sudderth
Burn-in, bias, and the rationality of anchoring
Falk Lieder, Tom Griffiths, Noah Goodman
Multiresolution Gaussian Processes
Emily B. Fox, David B. Dunson
Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand
Amy Greenwald, Jiacui Li, Eric Sodomka
Accuracy at the Top
Stephen Boyd, Corinna Cortes, Mehryar Mohri et al.
GenDeR: A Generic Diversified Ranking Algorithm
Jingrui He, Hanghang Tong, Qiaozhu Mei et al.
Bayesian nonparametric models for ranked data
Francois Caron, Yee W. Teh
The variational hierarchical EM algorithm for clustering hidden Markov models
Emanuele Coviello, Gert R. Lanckriet, Antoni B. Chan
Semi-supervised Eigenvectors for Locally-biased Learning
Toke Hansen, Michael W. Mahoney
A Better Way to Pretrain Deep Boltzmann Machines
Geoffrey E. Hinton, Ruslan Salakhutdinov
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks
Qirong Ho, Junming Yin, Eric P. Xing
Tight Bounds on Profile Redundancy and Distinguishability
Jayadev Acharya, Hirakendu Das, Alon Orlitsky
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization
Demba Ba, Behtash Babadi, Patrick Purdon et al.
Learning to Discover Social Circles in Ego Networks
Jure Leskovec, Julian J. Mcauley