Papers
21,849 papers found
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
Sparse Metric Learning via Smooth Optimization
Yiming Ying, Kaizhu Huang, Colin Campbell
Sparsistent Learning of Varying-coefficient Models with Structural Changes
Mladen Kolar, Le Song, Eric P. Xing
Spatial Normalized Gamma Processes
Vinayak Rao, Yee W. Teh
Speaker Comparison with Inner Product Discriminant Functions
Zahi Karam, Douglas Sturim, William M. Campbell
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
Boaz Nadler, Nathan Srebro, Xueyuan Zhou
Statistical Consistency of Top-k Ranking
Fen Xia, Tie-yan Liu, Hang Li