Papers
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman
A Theory of Multiclass Boosting
Indraneel Mukherjee, Robert E. Schapire
Gaussian Process Preference Elicitation
Shengbo Guo, Scott Sanner, Edwin V. Bonilla
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
Matthias Broecheler, Lise Getoor
Kernel Descriptors for Visual Recognition
Liefeng Bo, Xiaofeng Ren, Dieter Fox
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
Atsushi Miyamae, Yuichi Nagata, Isao Ono et al.
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
Paul Mckeigue, Jon Krohn, Amos J. Storkey et al.
Exact learning curves for Gaussian process regression on large random graphs
Matthew Urry, Peter Sollich
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis
Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda et al.
Learning to localise sounds with spiking neural networks
Dan Goodman, Romain Brette
Discriminative Clustering by Regularized Information Maximization
Andreas Krause, Pietro Perona, Ryan G. Gomes
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents
Eric Wang, Dehong Liu, Jorge Silva et al.
Random Projection Trees Revisited
Aman Dhesi, Purushottam Kar
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
Danial Lashkari, Ramesh Sridharan, Polina Golland
Adaptive Multi-Task Lasso: with Application to eQTL Detection
Seunghak Lee, Jun Zhu, Eric P. Xing
Switched Latent Force Models for Movement Segmentation
Mauricio Alvarez, Jan R. Peters, Neil D. Lawrence et al.
Large Margin Learning of Upstream Scene Understanding Models
Jun Zhu, Li-jia Li, Li Fei-fei et al.
Non-Stochastic Bandit Slate Problems
Satyen Kale, Lev Reyzin, Robert E. Schapire
Over-complete representations on recurrent neural networks can support persistent percepts
Shaul Druckmann, Dmitri B. Chklovskii
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
Kamiya Motwani, Nagesh Adluru, Chris Hinrichs et al.
Multi-View Active Learning in the Non-Realizable Case
Wei Wang, Zhi-Hua Zhou
Functional Geometry Alignment and Localization of Brain Areas
Georg Langs, Yanmei Tie, Laura Rigolo et al.
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
Tang Jie, Pieter Abbeel
Identifying Dendritic Processing
Aurel A. Lazar, Yevgeniy Slutskiy
Predictive State Temporal Difference Learning
Byron Boots, Geoffrey J. Gordon