Papers
4,025 papers found
Hartigan’s Method: k-means Clustering without Voronoi
Matus Telgarsky, Andrea Vattani
HOP-MAP: Efficient Message Passing with High Order Potentials
Daniel Tarlow, Inmar Givoni, Richard Zemel
Identifying Cause and Effect on Discrete Data using Additive Noise Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Impossibility Theorems for Domain Adaptation
Shai Ben David, Tyler Lu, Teresa Luu et al.
Improving posterior marginal approximations in latent Gaussian models
Botond Cseke, Tom Heskes
Incremental Sparsification for Real-time Online Model Learning
Duy Nguyen–Tuong, Jan Peters
Inductive Principles for Restricted Boltzmann Machine Learning
Benjamin Marlin, Kevin Swersky, Bo Chen et al.
Inference and Learning in Networks of Queues
Charles Sutton, Michael I. Jordan
Infinite Predictor Subspace Models for Multitask Learning
Piyush Rai, Hal Daumé III
Kernel Partial Least Squares is Universally Consistent
Gilles Blanchard, Nicole Krämer
Learning Bayesian Network Structure using LP Relaxations
Tommi Jaakkola, David Sontag, Amir Globerson et al.
Learning Causal Structure from Overlapping Variable Sets
Sofia Triantafillou, Ioannis Tsamardinos, Ioannis Tollis
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity
Sham Kakade, Ohad Shamir, Karthik Sindharan et al.
Learning Nonlinear Dynamic Models from Non-sequenced Data
Tzu–Kuo Huang, Le Song, Jeff Schneider
Learning Policy Improvements with Path Integrals
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
Learning the Structure of Deep Sparse Graphical Models
Ryan P. Adams, Hanna Wallach, Zoubin Ghahramani
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Arthur Asuncion, Qiang Liu, Alexander Ihler et al.
Locally Linear Denoising on Image Manifolds
Dian Gong, Fei Sha, Gérard Medioni
Matrix-Variate Dirichlet Process Mixture Models
Zhihua Zhang, Guang Dai, Michael I. Jordan
Maximum-likelihood learning of cumulative distribution functions on graphs
Jim Huang, Nebojsa Jojic
Model-Free Monte Carlo-like Policy Evaluation
Raphael Fonteneau, Susan Murphy, Louis Wehenkel et al.
Modeling annotator expertise: Learning when everybody knows a bit of something
Yan Yan, Romer Rosales, Glenn Fung et al.
Multiclass-Multilabel Classification with More Classes than Examples
Ofer Dekel, Ohad Shamir