Papers
4,122 papers found
Convex and Network Flow Optimization for Structured Sparsity
Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski et al.
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa et al.
Dirichlet Process Mixtures of Generalized Linear Models
Lauren A. Hannah, David M. Blei, Warren B. Powell
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood
Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira et al.
Distance Dependent Chinese Restaurant Processes
David M. Blei, Peter I. Frazier
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets
Chiwoo Park, Jianhua Z. Huang, Yu Ding
Double Updating Online Learning
Peilin Zhao, Steven C.H. Hoi, Rong Jin
Efficient and Effective Visual Codebook Generation Using Additive Kernels
Jianxin Wu, Wei-Chian Tan, James M. Rehg
Efficient Learning with Partially Observed Attributes
Nicoló Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir
Efficient Structure Learning of Bayesian Networks using Constraints
Cassio P. de Campos, Qiang Ji
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
Yizhao Ni, Craig Saunders, Sandor Szedmak et al.
Exploiting Best-Match Equations for Efficient Reinforcement Learning
Harm van Seijen, Shimon Whiteson, Hado van Hasselt et al.
Faster Algorithms for Max-Product Message-Passing
Julian J. McAuley, Tibério S. Caetano
Forest Density Estimation
Han Liu, Min Xu, Haijie Gu et al.
Generalized TD Learning
Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe et al.
Group Lasso Estimation of High-dimensional Covariance Matrices
Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes et al.
Hierarchical Knowledge Gradient for Sequential Sampling
Martijn R.K. Mes, Warren B. Powell, Peter I. Frazier
High-dimensional Covariance Estimation Based On Gaussian Graphical Models
Shuheng Zhou, Philipp Rütimann, Min Xu et al.
Hyper-Sparse Optimal Aggregation
Stéphane Gaîffas, Guillaume Lecué
Improved Moves for Truncated Convex Models
M. Pawan Kumar, Olga Veksler, Philip H.S. Torr
In All Likelihood, Deep Belief Is Not Enough
Lucas Theis, Sebastian Gerwinn, Fabian Sinz et al.
Information, Divergence and Risk for Binary Experiments
Mark D. Reid, Robert C. Williamson