Papers
Multi-Task Learning via Conic Programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama et al.
Nearest-Neighbor-Based Active Learning for Rare Category Detection
Jingrui He, Jaime G. Carbonell
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Matthias Bethge, Philipp Berens
Neural characterization in partially observed populations of spiking neurons
Jonathan W. Pillow, Peter E. Latham
New Outer Bounds on the Marginal Polytope
David Sontag, Tommi S. Jaakkola
Non-parametric Modeling of Partially Ranked Data
Guy Lebanon, Yi Mao
Object Recognition by Scene Alignment
Bryan Russell, Antonio Torralba, Ce Liu et al.
One-Pass Boosting
Zafer Barutcuoglu, Phil Long, Rocco Servedio
On higher-order perceptron algorithms
Claudio Gentile, Fabio Vitale, Cristian Brotto
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L. Strehl, Michael L. Littman
On Ranking in Survival Analysis: Bounds on the Concordance Index
Harald Steck, Balaji Krishnapuram, Cary Dehing-oberije et al.
On Sparsity and Overcompleteness in Image Models
Pietro Berkes, Richard Turner, Maneesh Sahani
Optimal models of sound localization by barn owls
Brian J. Fischer
Optimal ROC Curve for a Combination of Classifiers
Marco Barreno, Alvaro Cardenas, J. D. Tygar
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
Ambuj Tewari, Peter L. Bartlett
Parallelizing Support Vector Machines on Distributed Computers
Kaihua Zhu, Hao Wang, Hongjie Bai et al.
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Zhengdong Lu, Cristian Sminchisescu, Miguel Á. Carreira-Perpiñán
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
Sennay Ghebreab, Arnold Smeulders, Pieter Adriaans
Predicting human gaze using low-level saliency combined with face detection
Moran Cerf, Jonathan Harel, Wolfgang Einhaeuser et al.
Predictive Matrix-Variate t Models
Shenghuo Zhu, Kai Yu, Yihong Gong
Privacy-Preserving Belief Propagation and Sampling
Michael Kearns, Jinsong Tan, Jennifer Wortman
Probabilistic Matrix Factorization
Andriy Mnih, Ruslan Salakhutdinov
Progressive mixture rules are deviation suboptimal
Jean-yves Audibert
Random Features for Large-Scale Kernel Machines
Ali Rahimi, Benjamin Recht
Random Projections for Manifold Learning
Chinmay Hegde, Michael Wakin, Richard Baraniuk