Papers
4,025 papers found
Generative Modeling for Maximizing Precision and Recall in Information Visualization
Jaakko Peltonen, Samuel Kaski
Group Orthogonal Matching Pursuit for Logistic Regression
Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe
Hidden-Unit Conditional Random Fields
Laurens van der Maaten, Max Welling, Lawrence Saul
Hierarchical Probabilistic Models for Group Anomaly Detection
Liang Xiong, Barnabás Póczos, Jeff Schneider et al.
Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain, John Shawe–Taylor
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
Ankan Saha, Ambuj Tewari
Information Theoretical Clustering via Semidefinite Programming
Meihong Wang, Fei Sha
Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson et al.
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
Heng Luo, Ruimin Shen, Changyong Niu et al.
Learning mixtures of Gaussians with maximum-a-posteriori oracle
Satyaki Mahalanabis
Learning Scale Free Networks by Reweighted $\ell_1$ regularization
Qiang Liu, Alexander Ihler
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
David Wingate, Andreas Stuhlmueller, Noah Goodman
Linear-Time Estimators for Propensity Scores
Deepak Agarwal, Lihong Li, Alexander Smola
Machine Learning Markets
Amos Storkey
Maximum Volume Clustering
Gang Niu, Bo Dai, Lin Shang et al.
Mixed Cumulative Distribution Networks
Ricardo Silva, Charles Blundell, Yee Whye Teh
Multicore Gibbs Sampling in Dense, Unstructured Graphs
Tianbing Xu, Alexander Ihler
Multi-Label Output Codes using Canonical Correlation Analysis
Yi Zhang, Jeff Schneider
Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur Parikh, Le Song et al.
On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki et al.
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon Hui Teo et al.
Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Hal Daumé III et al.
Online Learning of Structured Predictors with Multiple Kernels
Andre Filipe Torres Martins, Noah Smith, Eric Xing et al.