Papers
Learning Linear Cyclic Causal Models with Latent Variables
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Large-scale Linear Support Vector Regression
Chia-Hua Ho, Chih-Jen Lin
Human Gesture Recognition on Product Manifolds
Yui Man Lui
Linear Fitted-Q Iteration with Multiple Reward Functions
Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
Sally: A Tool for Embedding Strings in Vector Spaces
Konrad Rieck, Christian Wressnegger, Alexander Bikadorov
Dynamic Policy Programming
Mohammad Gheshlaghi Azar, Vicenç Gómez, Hilbert J. Kappen
Quantum Set Intersection and its Application to Associative Memory
Tamer Salman, Yoram Baram
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets
Kay H. Brodersen, Christoph Mathys, Justin R. Chumbley et al.
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training
Zhuang Wang, Koby Crammer, Slobodan Vucetic
Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition
Yang Wang, Duan Tran, Zicheng Liao et al.
Finite-Sample Analysis of Least-Squares Policy Iteration
Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos
Multi-Instance Learning with Any Hypothesis Class
Sivan Sabato, Naftali Tishby
Oger: Modular Learning Architectures For Large-Scale Sequential Processing
David Verstraeten, Benjamin Schrauwen, Sander Dieleman et al.
Facilitating Score and Causal Inference Trees for Large Observational Studies
Xiaogang Su, Joseph Kang, Juanjuan Fan et al.
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices
Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya et al.
Online Submodular Minimization
Elad Hazan, Satyen Kale
Local and Global Scaling Reduce Hubs in Space
Dominik Schnitzer, Arthur Flexer, Markus Schedl et al.
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss
José Hernández-Orallo, Peter Flach, Cèsar Ferri
Multi-task Regression using Minimal Penalties
Matthieu Solnon, Sylvain Arlot, Francis Bach
Linear Regression With Random Projections
Odalric-Ambrym Maillard, Rémi Munos
Coherence Functions with Applications in Large-Margin Classification Methods
Zhihua Zhang, Dehua Liu, Guang Dai et al.
PREA: Personalized Recommendation Algorithms Toolkit
Joonseok Lee, Mingxuan Sun, Guy Lebanon
Selective Sampling and Active Learning from Single and Multiple Teachers
Ofer Dekel, Claudio Gentile, Karthik Sridharan
Static Prediction Games for Adversarial Learning Problems
Michael Brückner, Christian Kanzow, Tobias Scheffer