Papers
Lower Bounds and Aggregation in Density Estimation
Guillaume Lecué
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
Seyoung Kim, Padhraic Smyth
Rearrangement Clustering: Pitfalls, Remedies, and Applications
Sharlee Climer, Weixiong Zhang
Evolutionary Function Approximation for Reinforcement Learning
Shimon Whiteson, Peter Stone
Infinite-Ï Limits For Tikhonov Regularization
Ross A. Lippert, Ryan M. Rifkin
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
Régis Vert, Jean-Philippe Vert
Learning Image Components for Object Recognition
Michael W. Spratling
Policy Gradient in Continuous Time
Rémi Munos
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
Don Hush, Patrick Kelly, Clint Scovel et al.
Some Theory for Generalized Boosting Algorithms
Peter J. Bickel, Ya'acov Ritov, Alon Zakai
Learning Minimum Volume Sets
Clayton D. Scott, Robert D. Nowak
Pattern Recognition for Conditionally Independent Data
Daniil Ryabko
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation
Kazuho Watanabe, Sumio Watanabe
A Direct Method for Building Sparse Kernel Learning Algorithms
Mingrui Wu, Bernhard Schölkopf, Gökhan Bakir
Toward Attribute Efficient Learning of Decision Lists and Parities
Adam R. Klivans, Rocco A. Servedio
Online Passive-Aggressive Algorithms
Koby Crammer, Ofer Dekel, Joseph Keshet et al.
Learning Coordinate Covariances via Gradients
Sayan Mukherjee, Ding-Xuan Zhou
Learning Recursive Control Programs from Problem Solving
Pat Langley, Dongkyu Choi
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
Tonatiuh Peña Centeno, Neil D. Lawrence
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach
Emanuel Kitzelmann, Ute Schmid
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
Ron Begleiter, Ran El-Yaniv
Using Machine Learning to Guide Architecture Simulation
Greg Hamerly, Erez Perelman, Jeremy Lau et al.
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
Andrea Passerini, Paolo Frasconi, Luc De Raedt
Some Discriminant-Based PAC Algorithms
Paul W. Goldberg