Papers
173,579 papers found
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Eric Moulines, Francis R. Bach
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
David A. Knowles, Tom Minka
Nonlinear Inverse Reinforcement Learning with Gaussian Processes
Sergey Levine, Zoran Popovic, Vladlen Koltun
Nonlinear Online Classification Algorithm with Probability Margin
Mingmin Chi, Huijun He, Wenqiang Zhang
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
Onur Dikmen, Cédric Févotte
Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes
Elias Zavitsanos, Georgios Paliouras, George A. Vouros
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani, Aurelie C. Lozano
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
David Wingate, Noah Goodman, Andreas Stuhlmueller et al.
-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Sören Sonnenburg et al.
Object Detection with Grammar Models
Ross B. Girshick, Pedro F. Felzenszwalb, David A. McAllester
On Causal Discovery with Cyclic Additive Noise Models
Joris M. Mooij, Dominik Janzing, Tom Heskes et al.
On Equivalence Relationships Between Classification and Ranking Algorithms
Şeyda Ertekin, Cynthia Rudin
On fast approximate submodular minimization
Stefanie Jegelka, Hui Lin, Jeff A. Bilmes
On Learning Discrete Graphical Models using Greedy Methods
Ali Jalali, Christopher C. Johnson, Pradeep K. Ravikumar
On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki et al.
Online Learning: Beyond Regret
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
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.
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory, Jeff A. Bilmes
Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John Paisley, David M. Blei
On NDCG Consistency of Listwise Ranking Methods
Pradeep Ravikumar, Ambuj Tewari, Eunho Yang
On Strategy Stitching in Large Extensive Form Multiplayer Games
Richard G. Gibson, Duane Szafron
On the accuracy of l1-filtering of signals with block-sparse structure
Fatma K. Karzan, Arkadi S. Nemirovski, Boris T. Polyak et al.