Papers
Optimal Distributed Online Prediction Using Mini-Batches
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir et al.
Optimistic Bayesian Sampling in Contextual-Bandit Problems
Benedict C. May, Nathan Korda, Anthony Lee et al.
PAC-Bayes Bounds with Data Dependent Priors
Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor et al.
Pairwise Support Vector Machines and their Application to Large Scale Problems
Carl Brunner, Andreas Fischer, Klaus Luig et al.
Pattern for Python
Tom De Smedt, Walter Daelemans
Plug-in Approach to Active Learning
Stanislav Minsker
Positive Semidefinite Metric Learning Using Boosting-like Algorithms
Chunhua Shen, Junae Kim, Lei Wang et al.
PREA: Personalized Recommendation Algorithms Toolkit
Joonseok Lee, Mingxuan Sun, Guy Lebanon
Quantum Set Intersection and its Application to Associative Memory
Tamer Salman, Yoram Baram
Query Strategies for Evading Convex-Inducing Classifiers
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang et al.
Random Search for Hyper-Parameter Optimization
James Bergstra, Yoshua Bengio
Refinement of Operator-valued Reproducing Kernels
Haizhang Zhang, Yuesheng Xu, Qinghui Zhang
Regularization Techniques for Learning with Matrices
Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari
Regularized Bundle Methods for Convex and Non-Convex Risks
Trinh Minh Tri Do, Thierry Artières
Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise
Sahand Negahban, Martin J. Wainwright
Robust Kernel Density Estimation
JooSeuk Kim, Clayton D. Scott
Sally: A Tool for Embedding Strings in Vector Spaces
Konrad Rieck, Christian Wressnegger, Alexander Bikadorov
Sampling Methods for the Nyström Method
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
Security Analysis of Online Centroid Anomaly Detection
Marius Kloft, Pavel Laskov
Selective Sampling and Active Learning from Single and Multiple Teachers
Ofer Dekel, Claudio Gentile, Karthik Sridharan
Sign Language Recognition using Sub-Units
Helen Cooper, Eng-Jon Ong, Nicolas Pugeault et al.
Smoothing Multivariate Performance Measures
Xinhua Zhang, Ankan Saha, S.V.N. Vishwanathan
Stability of Density-Based Clustering
Alessandro Rinaldo, Aarti Singh, Rebecca Nugent et al.
Static Prediction Games for Adversarial Learning Problems
Michael Brückner, Christian Kanzow, Tobias Scheffer