Papers
Robust Approximate Bilinear Programming for Value Function Approximation
Marek Petrik, Shlomo Zilberstein
Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau
Robust Gaussian Process Regression with a Student- Likelihood
Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets
Sainbaya Sukhbaatar, Takaki Makino, Kazuyuki Aihara et al.
Robust Lasso with missing and grossly corrupted observations
Nasser M. Nasrabadi, Trac D. Tran, Nam Nguyen
Robust Multi-Class Gaussian Process Classification
Daniel Hernández-lobato, Jose M. Hernández-lobato, Pierre Dupont
RTRMC: A Riemannian trust-region method for low-rank matrix completion
Nicolas Boumal, Pierre-antoine Absil
Sample Complexity Bounds for Differentially Private Learning
Kamalika Chaudhuri, Daniel Hsu
Scalable Training of Mixture Models via Coresets
Dan Feldman, Matthew Faulkner, Andreas Krause
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al.
See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale, Nicolò Cesa-bianchi, Claudio Gentile et al.
Select and Sample - A Model of Efficient Neural Inference and Learning
Jacquelyn A. Shelton, Abdul S. Sheikh, Pietro Berkes et al.
Selecting Receptive Fields in Deep Networks
Adam Coates, Andrew Y. Ng
Selecting the State-Representation in Reinforcement Learning
Odalric-ambrym Maillard, Daniil Ryabko, Rémi Munos
Selective Prediction of Financial Trends with Hidden Markov Models
Dmitry Pidan, Ran El-Yaniv
Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims et al.
Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou, Mikhail Belkin
Semi-Supervised Learning with Measure Propagation
Amarnag Subramanya, Jeff Bilmes
Semi-supervised Regression via Parallel Field Regularization
Binbin Lin, Chiyuan Zhang, Xiaofei He
Sequence learning with hidden units in spiking neural networks
Johanni Brea, Walter Senn, Jean-pascal Pfister
Sequential Event Prediction with Association Rules
Cynthia Rudin, Benjamin Letham, Ansaf Salleb-Aouissi et al.
Shallow vs. Deep Sum-Product Networks
Olivier Delalleau, Yoshua Bengio
Shaping Level Sets with Submodular Functions
Francis R. Bach
ShareBoost: Efficient multiclass learning with feature sharing
Shai Shalev-shwartz, Yonatan Wexler, Amnon Shashua