Papers
Stagewise Lasso
Peng Zhao, Bin Yu
Ranking the Best Instances
Stéphan Clémençon, Nicolas Vayatis
Hierarchical Average Reward Reinforcement Learning
Mohammad Ghavamzadeh, Sridhar Mahadevan
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners
Marlon Núñez, Raúl Fidalgo, Rafael Morales
VC Theory of Large Margin Multi-Category Classifiers
Yann Guermeur
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data
Zakria Hussain, François Laviolette, Mario Marchand et al.
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections
Ping Li, Trevor J. Hastie, Kenneth W. Church
On the Representer Theorem and Equivalent Degrees of Freedom of SVR
Francesco Dinuzzo, Marta Neve, Giuseppe De Nicolao et al.
The Need for Open Source Software in Machine Learning
Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong et al.
The Locally Weighted Bag of Words Framework for Document Representation
Guy Lebanon, Yi Mao, Joshua Dillon
The On-Line Shortest Path Problem Under Partial Monitoring
András György, Tamás Linder, Gábor Lugosi et al.
AdaBoost is Consistent
Peter L. Bartlett, Mikhail Traskin
Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization
Evgeniy Gabrilovich, Shaul Markovitch
Euclidean Embedding of Co-occurrence Data
Amir Globerson, Gal Chechik, Fernando Pereira et al.
Online Learning of Multiple Tasks with a Shared Loss
Ofer Dekel, Philip M. Long, Yoram Singer
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
Sridhar Mahadevan, Mauro Maggioni
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
Matthew E. Taylor, Peter Stone, Yaxin Liu
Refinable Kernels
Yuesheng Xu, Haizhang Zhang
Unlabeled Compression Schemes for Maximum Classes
Dima Kuzmin, Manfred K. Warmuth
Very Fast Online Learning of Highly Non Linear Problems
Aggelos Chariatis
Truncating the Loop Series Expansion for Belief Propagation
Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh et al.
Fast Iterative Kernel Principal Component Analysis
Simon Günter, Nicol N. Schraudolph, S. V. N. Vishwanathan
Large Margin Semi-supervised Learning
Junhui Wang, Xiaotong Shen