Papers
4,025 papers found
Multitask Learning for Brain-Computer Interfaces
Morteza Alamgir, Moritz Grosse–Wentrup, Yasemin Altun
Multi-Task Learning using Generalized t Process
Yu Zhang, Dit–Yan Yeung
Near-Optimal Evasion of Convex-Inducing Classifiers
Blaine Nelson, Benjamin Rubinstein, Ling Huang et al.
Negative Results for Active Learning with Convex Losses
Steve Hanneke, Liu Yang
Neural conditional random fields
Trinh–Minh–Tri Do, Thierry Artieres
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann, Aapo Hyvärinen
Nonlinear functional regression: a functional RKHS approach
Hachem Kadri, Emmanuel Duflos, Philippe Preux et al.
Nonparametric Bayesian Matrix Factorization by Power-EP
Nan Ding, Yuan Qi, Rongjing Xiang et al.
Nonparametric prior for adaptive sparsity
Vikas Raykar, Linda Zhao
Nonparametric Tree Graphical Models
Le Song, Arthur Gretton, Carlos Guestrin
On Combining Graph-based Variance Reduction schemes
Vibhav Gogate, Rina Dechter
Online Anomaly Detection under Adversarial Impact
Marius Kloft, Pavel Laskov
Online Passive-Aggressive Algorithms on a Budget
Zhuang Wang, Slobodan Vucetic
On the Convergence Properties of Contrastive Divergence
Ilya Sutskever, Tijmen Tieleman
On the Impact of Kernel Approximation on Learning Accuracy
Corinna Cortes, Mehryar Mohri, Ameet Talwalkar
On the relation between universality, characteristic kernels and RKHS embedding of measures
Bharath Sriperumbudur, Kenji Fukumizu, Gert Lanckriet
Optimal Allocation Strategies for the Dark Pool Problem
Alekh Agarwal, Peter Bartlett, Max Dama
Parallelizable Sampling of Markov Random Fields
James Martens, Ilya Sutskever
Parametric Herding
Yutian Chen, Max Welling
Posterior distributions are computable from predictive distributions
Cameron Freer, Daniel Roy
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Shengbo Guo, Scott Sanner
Reduced-Rank Hidden Markov Models
Sajid Siddiqi, Byron Boots, Geoffrey Gordon
Reducing Label Complexity by Learning From Bags
Sivan Sabato, Nathan Srebro, Naftali Tishby
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization
Barnabas Poczos, Sergey Kirshner, Csaba Szepesvári