Papers
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks
Vikas C. Raykar, Shipeng Yu
Emergence of Object-Selective Features in Unsupervised Feature Learning
Adam Coates, Andrej Karpathy, Andrew Y. Ng
Ensemble weighted kernel estimators for multivariate entropy estimation
Kumar Sricharan, Alfred O. Hero
Entangled Monte Carlo
Seong-hwan Jun, Liangliang Wang, Alexandre Bouchard-côté
Entropy Estimations Using Correlated Symmetric Stable Random Projections
Ping Li, Cun-hui Zhang
Entropy Search for Information-Efficient Global Optimization
Philipp Hennig, Christian J. Schuler
EP-GIG Priors and Applications in Bayesian Sparse Learning
Zhihua Zhang, Shusen Wang, Dehua Liu et al.
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
Robert Durrant, Ata Kaban
Estimating Human Dynamics On-the-fly Using Monocular Video For Pose Estimation
Priyanshu Agarwal, Suren Kumar, Julian Ryde et al.
Evaluation of marginal likelihoods via the density of states
Michael Habeck
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization
Demba Ba, Behtash Babadi, Patrick Purdon et al.
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
Rahul Mazumder, Trevor Hastie
Exact Recovery of Sparsely-Used Dictionaries
Daniel A. Spielman, Huan Wang, John Wright
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
Guangcan Liu, Huan Xu, Shuicheng Yan
Expectation Propagation in Gaussian Process Dynamical Systems
Marc Deisenroth, Shakir Mohamed
Experiments with Balancing on Irregular Terrains using the Dreamer Mobile Humanoid Robot
Luis Sentis, Josh Petersen, Roland Philippsen
Exploiting Passive Dynamics with Variable Stiffness Actuation in Robot Brachiation
Jun Nakanishi, Sethu Vijayakumar
Exploiting Unrelated Tasks in Multi-Task Learning
Bernardino Romera Paredes, Andreas Argyriou, Nadia Berthouze et al.
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress
Manuel Lopes, Tobias Lang, Marc Toussaint et al.
Exploration in Relational Domains for Model-based Reinforcement Learning
Tobias Lang, Marc Toussaint, Kristian Kersting
Exponential Concentration for Mutual Information Estimation with Application to Forests
Han Liu, Larry Wasserman, John D. Lafferty
Extrinsic Calibration from Per-Sensor Egomotion
Jonathan Brookshire, Seth Teller
Facilitating Score and Causal Inference Trees for Large Observational Studies
Xiaogang Su, Joseph Kang, Juanjuan Fan et al.