Papers
The Feature Selection Path in Kernel Methods
Fuxin Li, Cristian Sminchisescu
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms
Nevena Lazic, Brendan Frey, Parham Aarabi
Semi-Supervised Learning with Max-Margin Graph Cuts
Branislav Kveton, Michal Valko, Ali Rahimi et al.
Online Anomaly Detection under Adversarial Impact
Marius Kloft, Pavel Laskov
Fast Active-set-type Algorithms for l1-regularized Linear Regression
Jingu Kim, Haesun Park
Collaborative Filtering on a Budget
Alexandros Karatzoglou, Alex Smola, Markus Weimer
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity
Sham Kakade, Ohad Shamir, Karthik Sindharan et al.
Nonlinear functional regression: a functional RKHS approach
Hachem Kadri, Emmanuel Duflos, Philippe Preux et al.
Structured Sparse Principal Component Analysis
Rodolphe Jenatton, Guillaume Obozinski, Francis Bach
Learning Bayesian Network Structure using LP Relaxations
Tommi Jaakkola, David Sontag, Amir Globerson et al.
Learning Nonlinear Dynamic Models from Non-sequenced Data
Tzu–Kuo Huang, Le Song, Jeff Schneider
Maximum-likelihood learning of cumulative distribution functions on graphs
Jim Huang, Nebojsa Jojic
Collaborative Filtering via Rating Concentration
Bert Huang, Tony Jebara
Coherent Inference on Optimal Play in Game Trees
Philipp Hennig, David Stern, Thore Graepel
Negative Results for Active Learning with Convex Losses
Steve Hanneke, Liu Yang
Dirichlet Process Mixtures of Generalized Linear Models
Lauren Hannah, David Blei, Warren Powell
Boosted Optimization for Network Classification
Timothy Hancock, Hiroshi Mamitsuka
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann, Aapo Hyvärinen
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Shengbo Guo, Scott Sanner
Sufficient covariates and linear propensity analysis
Hui Guo, Philip Dawid
Regret Bounds for Gaussian Process Bandit Problems
Steffen Grünewälder, Jean–Yves Audibert, Manfred Opper et al.
Locally Linear Denoising on Image Manifolds
Dian Gong, Fei Sha, Gérard Medioni
On Combining Graph-based Variance Reduction schemes
Vibhav Gogate, Rina Dechter