Papers
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
Maryam Mahdaviani, Tanzeem Choudhury
Fast Variational Inference for Large-scale Internet Diagnosis
Emre Kiciman, David Maltz, John C. Platt
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Ben Blum, David Baker, Michael I. Jordan et al.
FilterBoost: Regression and Classification on Large Datasets
Joseph K. Bradley, Robert E. Schapire
Fitted Q-iteration in continuous action-space MDPs
András Antos, Csaba Szepesvári, Rémi Munos
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
Amir Globerson, Tommi S. Jaakkola
Gaussian Process Models for Link Analysis and Transfer Learning
Kai Yu, Wei Chu
GRIFT: A graphical model for inferring visual classification features from human data
Michael Ross, Andrew Cohen
Heterogeneous Component Analysis
Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller et al.
Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu, Zoubin Ghahramani
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
J. Z. Kolter, Pieter Abbeel, Andrew Y. Ng
Hierarchical Penalization
Marie Szafranski, Yves Grandvalet, Pierre Morizet-mahoudeaux
Hippocampal Contributions to Control: The Third Way
Máté Lengyel, Peter Dayan
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
Bing Zhao, Eric P. Xing
How SVMs can estimate quantiles and the median
Andreas Christmann, Ingo Steinwart
Incremental Natural Actor-Critic Algorithms
Shalabh Bhatnagar, Mohammad Ghavamzadeh, Mark Lee et al.
Inferring Elapsed Time from Stochastic Neural Processes
Misha Ahrens, Maneesh Sahani
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy et al.
Infinite State Bayes-Nets for Structured Domains
Max Welling, Ian Porteous, Evgeniy Bart
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka et al.
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting
Michael Gashler, Dan Ventura, Tony Martinez
Kernel Measures of Conditional Dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun et al.
Kernels on Attributed Pointsets with Applications
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharya et al.
Learning and using relational theories
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
Learning Bounds for Domain Adaptation
John Blitzer, Koby Crammer, Alex Kulesza et al.