Papers
Latent Dirichlet Allocation
David M. Blei, Andrew Y. Ng, Michael I. Jordan
Ultraconservative Online Algorithms for Multiclass Problems
Koby Crammer, Yoram Singer
Policy Search using Paired Comparisons
Malcolm J. A. Strens, Andrew W. Moore
Learning to Construct Fast Signal Processing Implementations
Bryan Singer, Manuela Veloso
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem
Marc Sebban, Richard Nock, Stéphane Lallich
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
Tobias Scheffer, Stefan Wrobel
Lyapunov Design for Safe Reinforcement Learning
Theodore J. Perkins, Andrew G. Barto
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
Prasanth B. Nair, Arindam Choudhury, Andy J. Keane
Coupled Clustering: A Method for Detecting Structural Correspondence
Zvika Marx, Ido Dagan, Joachim M. Buhmann et al.
The Set Covering Machine
Mario Marchand, John Shawe-Taylor
The Representational Power of Discrete Bayesian Networks
Charles X. Ling, Huajie Zhang
Learning Probabilistic Models of Link Structure
Lisa Getoor, Nir Friedman, Daphne Koller et al.
Multiple-Instance Learning of Real-Valued Data
Daniel R. Dooly, Qi Zhang, Sally A. Goldman et al.
Efficient Algorithms for Decision Tree Cross-validation
Hendrik Blockeel, Jan Struyf
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
Alexander Strehl, Joydeep Ghosh
A Robust Minimax Approach to Classification
Gert R.G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya et al.
Optimal Structure Identification With Greedy Search
David Maxwell Chickering
On Boosting with Polynomially Bounded Distributions
Nader H. Bshouty, Dmitry Gavinsky
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
Peter L. Bartlett, Shahar Mendelson
Limitations of Learning Via Embeddings in Euclidean Half Spaces
Shai Ben-David, Nadav Eiron, Hans Ulrich Simon
Efficient Algorithms for Universal Portfolios
Adam Kalai, Santosh Vempala
Tracking a Small Set of Experts by Mixing Past Posteriors
Olivier Bousquet, Manfred K. Warmuth
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
Masashi Sugiyama, Klaus-Robert Müller
Minimal Kernel Classifiers
Glenn M. Fung, Olvi L. Mangasarian, Alexander J. Smola