Accepted Papers

Domain Adaptation as Learning with Auxiliary Information
Shai Ben-David, Ruth Urner

Sample Complexity of Sequential Multi-task Reinforcement Learning
Emma Brunskill, Lihong Li

Sequential Transfer in Multi-armed Bandit with Logarithmic Transfer Regret
Mohammad Gheshlaghi Azar, Alessandro Lazaric, Emma Brunskill

Class-wise Density-ratios for Covariate Shift
Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel

Domain adaptation for sequence labeling using hidden Markov models

Edouard Grave, Guillaume Obozinski,  Francis Bach

Retrieval of Experiments: Sequential Dirichlet Process Mixtures in Model Space
Ritabrata Dutta, Sohan Seth, Samuel Kaski

Multitask Learning with Feature Selection for Groups of Related Tasks
Meenakshi Mishra, Jun Huan

Restricted Transfer Learning for Text Categorization
Rajhans Samdani, Gideon Mann

Transform-based Domain Adaptation for Big Data
Erik Rodner, Judy Hoffman, Trevor Darrell, Jeff Donahue, Kate Saenko

A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina, Christoph H. Lampert

Multi-task Bilinear Classifiers for Visual Domain Adaptation
Jiaolong Xu, Sebastian Ramos, Xu Hu, David Vazquez, Antonio M. Lopez

Tree-Based Ensemble Multi-Task Learning Method for Classification and Regression
Jaak Simm, Ildefons Magrans de Abril, Masashi Sugiyama

Domain Adaptation of Majority Votes via Perturbed Variation-based Label Transfer
Emilie Morvant

Multilinear Spectral Regularization for Kernel-based Multitask Learning
Marco Signoretto, Johan A.K. Suykens

Multi-task Multiple Kernel Learning
Christian Widmer , Marius Kloft, Gunnar Ratsch

Reinforcement Learning with Multi-Fidelity Simulators