Papers
Security Analysis of Online Centroid Anomaly Detection
Marius Kloft, Pavel Laskov
Smoothing Multivariate Performance Measures
Xinhua Zhang, Ankan Saha, S.V.N. Vishwanathan
SVDFeature: A Toolkit for Feature-based Collaborative Filtering
Tianqi Chen, Weinan Zhang, Qiuxia Lu et al.
Learning Symbolic Representations of Hybrid Dynamical Systems
Daniel L. Ly, Hod Lipson
Regularized Bundle Methods for Convex and Non-Convex Risks
Trinh Minh Tri Do, Thierry Artières
PAC-Bayes Bounds with Data Dependent Priors
Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor et al.
Fast Approximation of Matrix Coherence and Statistical Leverage
Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney et al.
Iterative Reweighted Algorithms for Matrix Rank Minimization
Karthik Mohan, Maryam Fazel
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.