Papers
Large Scale Hidden Semi-Markov SVMs
Gunnar Rätsch, Sören Sonnenburg
Sample Complexity of Policy Search with Known Dynamics
Peter L. Bartlett, Ambuj Tewari
Modelling transcriptional regulation using Gaussian Processes
Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray
Distributed Inference in Dynamical Systems
Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar et al.
A PAC-Bayes Risk Bound for General Loss Functions
Pascal Germain, Alexandre Lacasse, François Laviolette et al.
No-regret Algorithms for Online Convex Programs
Geoffrey J. Gordon
Large Margin Hidden Markov Models for Automatic Speech Recognition
Fei Sha, Lawrence K. Saul
Unsupervised Regression with Applications to Nonlinear System Identification
Ali Rahimi, Ben Recht
Conditional mean field
Peter Carbonetto, Nando D. Freitas
Nonlinear physically-based models for decoding motor-cortical population activity
Gregory Shakhnarovich, Sung-phil Kim, Michael J. Black
Emergence of conjunctive visual features by quadratic independent component analysis
J.t. Lindgren, Aapo Hyvärinen
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers
A Kernel Method for the Two-Sample-Problem
Arthur Gretton, Karsten Borgwardt, Malte Rasch et al.
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts
Hariharan Narayanan, Mikhail Belkin, Partha Niyogi
Scalable Discriminative Learning for Natural Language Parsing and Translation
Joseph Turian, Benjamin Wellington, I. D. Melamed
Max-margin classification of incomplete data
Gal Chechik, Geremy Heitz, Gal Elidan et al.
Multi-dynamic Bayesian Networks
Karim Filali, Jeff A. Bilmes
Fast Computation of Graph Kernels
Karsten Borgwardt, Nicol N. Schraudolph, S.v.n. Vishwanathan
Learning Dense 3D Correspondence
Florian Steinke, Volker Blanz, Bernhard Schölkopf
Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf
Kernels on Structured Objects Through Nested Histograms
Marco Cuturi, Kenji Fukumizu
Large Margin Component Analysis
Lorenzo Torresani, Kuang-chih Lee
Clustering appearance and shape by learning jigsaws
Anitha Kannan, John Winn, Carsten Rother
An Oracle Inequality for Clipped Regularized Risk Minimizers
Ingo Steinwart, Don Hush, Clint Scovel
Learning on Graph with Laplacian Regularization
Rie K. Ando, Tong Zhang