Papers
Ranking Measures and Loss Functions in Learning to Rank
Wei Chen, Tie-yan Liu, Yanyan Lan et al.
Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang, Sean Gerrish, Chong Wang et al.
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
Tao Hu, Anthony Leonardo, Dmitri B. Chklovskii
Region-based Segmentation and Object Detection
Stephen Gould, Tianshi Gao, Daphne Koller
Regularized Distance Metric Learning:Theory and Algorithm
Rong Jin, Shijun Wang, Yang Zhou
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
Stefan Klampfl, Wolfgang Maass
Replicated Softmax: an Undirected Topic Model
Geoffrey E. Hinton, Ruslan Salakhutdinov
Rethinking LDA: Why Priors Matter
Hanna M. Wallach, David M. Mimno, Andrew McCallum
Riffled Independence for Ranked Data
Jonathan Huang, Carlos Guestrin
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
John Wright, Arvind Ganesh, Shankar Rao et al.
Robust Value Function Approximation Using Bilinear Programming
Marek Petrik, Shlomo Zilberstein
Segmenting Scenes by Matching Image Composites
Bryan Russell, Alyosha Efros, Josef Sivic et al.
Semi-Supervised Learning in Gigantic Image Collections
Rob Fergus, Yair Weiss, Antonio Torralba
Semi-supervised Learning using Sparse Eigenfunction Bases
Kaushik Sinha, Mikhail Belkin
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
Kwang I. Kim, Florian Steinke, Matthias Hein
Sensitivity analysis in HMMs with application to likelihood maximization
Pierre-arnaud Coquelin, Romain Deguest, Rémi Munos
Sequential effects reflect parallel learning of multiple environmental regularities
Matthew Wilder, Matt Jones, Michael Mozer
Sharing Features among Dynamical Systems with Beta Processes
Emily B. Fox, Michael I. Jordan, Erik B. Sudderth et al.
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
George Konidaris, Andrew G. Barto
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
Yoshua Bengio, James S. Bergstra
Slow Learners are Fast
Martin Zinkevich, John Langford, Alex J. Smola
Solving Stochastic Games
Liam M. Dermed, Charles L. Isbell
Sparse and Locally Constant Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Nikos Paragios et al.
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
David P. Wipf, Srikantan S. Nagarajan