Papers
Measuring Statistical Dependence via the Mutual Information Dimension
Mahito Sugiyama, Karsten M. Borgwardt
One-Class Conditional Random Fields for Sequential Anomaly Detection
Yale Song, Zhen Wen, Ching-Yung Lin et al.
Hartigan’s K-Means Versus Lloyd’s K-Means — Is It Time for a Change?
Noam Slonim, Ehud Aharoni, Koby Crammer
Guarantees of Augmented Trace Norm Models in Tensor Recovery
Ziqiang Shi, Jiqing Han, Tieran Zheng et al.
Supervised Hypothesis Discovery Using Syllogistic Patterns in the Biomedical Literature
Kazuhiro Seki, Kuniaki Uehara
Better Generalization with Forecasts
Tom Schaul, Mark Ring
Multi-Dimensional Causal Discovery
Ulrich Schaechtle, Kostas Stathis, Stefano Bromuri
Weighted Path as a Condensed Pattern in a Single Attributed DAG
Jérémy Sanhes, Frédéric Flouvat, Nazha Selmaoui-Folcher et al.
Machine-Learning-Based Circuit Synthesis
Lior Rokach, Meir Kalech, Gregory Provan et al.
Path Integral Control by Reproducing Kernel Hilbert Space Embedding
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
Robust Unsupervised Feature Selection
Mingjie Qian, Chengxiang Zhai
Active Learning from Relative Queries
Buyue Qian, Xiang Wang, Fei Wang et al.
Multiple Task Learning Using Iteratively Reweighted Least Square
Jian Pu, Yu-Gang Jiang, Jun Wang et al.
A Scalable Approach to Column-Based Low-Rank Matrix Approximation
Yifan Pi, Haoruo Peng, Shuchang Zhou et al.
Hierarchical Bayesian Matrix Factorization with Side Information
Sunho Park, Yong-Deok Kim, Seungjin Choi
Graph Classification with Imbalanced Class Distributions and Noise
Shirui Pan, Xingquan Zhu
Annealed Importance Sampling for Structure Learning in Bayesian Networks
Teppo Niinimäki, Mikko Koivisto
Early Active Learning via Robust Representation and Structured Sparsity
Feiping Nie, Hua Wang, Heng Huang et al.
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding
Feiping Nie, Hua Wang, Heng Huang et al.
Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA
Cam-Tu Nguyen, De-Chuan Zhan, Zhi-Hua Zhou
Meta-Interpretive Learning of Higher-Order Dyadic Datalog: Predicate Invention Revisited
Stephen Muggleton, Dianhuan Lin
Statistical Tests for the Detection of the Arrow of Time in Vector Autoregressive Models
Pablo Morales-Mombiela, Daniel Hernández-Lobato, Alberto Suárez
An Empirical Investigation of Ceteris Paribus Learnability
Loizos Michael, Elena Papageorgiou
Thinking of Images as What They Are: Compound Matrix Regression for Image Classification
Zhigang Ma, Yi Yang, Feiping Nie et al.