Papers
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
Min Yang, Linli Xu, Martha White et al.
Remotely Powered Propulsion of Helical Nanobelts
G. Hwang, S. Haliyo and S. Régnier
Repeated Games against Budgeted Adversaries
Jacob D. Abernethy, Manfred K. Warmuth
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
Felipe Gerhard, Wulfram Gerstner
Restricted Eigenvalue Properties for Correlated Gaussian Designs
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Reverse Multi-Label Learning
James Petterson, Tibério S. Caetano
Reward Design via Online Gradient Ascent
Jonathan Sorg, Richard L. Lewis, Satinder P. Singh
(RF)^2 -- Random Forest Random Field
Nadia Payet, Sinisa Todorovic
Risk Bounds for Levy Processes in the PAC-Learning Framework
Chao Zhang, Dacheng Tao
Robust Clustering as Ensembles of Affinity Relations
Hairong Liu, Longin J. Latecki, Shuicheng Yan
Robust PCA via Outlier Pursuit
Huan Xu, Constantine Caramanis, Sujay Sanghavi
Sample Complexity of Testing the Manifold Hypothesis
Hariharan Narayanan, Sanjoy Mitter
Scale Drift-Aware Large Scale Monocular SLAM
H. Strasdat, J. M. M. Montiel and A. Davison
Scrambled Objects for Least-Squares Regression
Odalric Maillard, Rémi Munos
Second-Order Bilinear Discriminant Analysis
Christoforos Christoforou, Robert Haralick, Paul Sajda et al.
Segmentation and Unsupervised Part-based Discovery of Repetitive Objects
R. Triebel, J. Shin and R. Siegwart
Segmentation as Maximum-Weight Independent Set
William Brendel, Sinisa Todorovic
Self-Paced Learning for Latent Variable Models
M. P. Kumar, Benjamin Packer, Daphne Koller
Semi-Supervised Learning via Generalized Maximum Entropy
Ayse Erkan, Yasemin Altun
Semi-Supervised Learning with Adversarially Missing Label Information
Umar Syed, Ben Taskar
Semi-Supervised Learning with Max-Margin Graph Cuts
Branislav Kveton, Michal Valko, Ali Rahimi et al.
Semi-Supervised Novelty Detection
Gilles Blanchard, Gyemin Lee, Clayton Scott
Sensor Placement for Improved Robotic Navigation
M. Vitus and C. Tomlin
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
Yener Ulker, Bilge Günsel, Taylan Cemgil
SFO: A Toolbox for Submodular Function Optimization
Andreas Krause