Papers
176,624 papers found
Multi-Priority Cartesian Impedance Control
R. Platt, M. Abdallah and C. Wampler
Multi-Stage Dantzig Selector
Ji Liu, Peter Wonka, Jieping Ye
Multitask Learning for Brain-Computer Interfaces
Morteza Alamgir, Moritz Grosse–Wentrup, Yasemin Altun
Multi-task Learning for Recommender System
Xia Ning, George Karypis
Multi-Task Learning using Generalized t Process
Yu Zhang, Dit–Yan Yeung
Multitask Learning without Label Correspondences
Novi Quadrianto, James Petterson, Tibério S. Caetano et al.
Multivariate Dyadic Regression Trees for Sparse Learning Problems
Han Liu, Xi Chen
Multi-View Active Learning in the Non-Realizable Case
Wei Wang, Zhi-Hua Zhou
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
Atsushi Miyamae, Yuichi Nagata, Isao Ono et al.
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin, Andreas Krause, Debajyoti Ray
Near-Optimal Evasion of Convex-Inducing Classifiers
Blaine Nelson, Benjamin Rubinstein, Ling Huang et al.
Near-optimal Regret Bounds for Reinforcement Learning
Thomas Jaksch, Ronald Ortner, Peter Auer
Negative Results for Active Learning with Convex Losses
Steve Hanneke, Liu Yang
-Nested Symmetric Distributions
Fabian Sinz, Matthias Bethge
Network Flow Algorithms for Structured Sparsity
Julien Mairal, Rodolphe Jenatton, Francis R. Bach et al.
Neural conditional random fields
Trinh–Minh–Tri Do, Thierry Artieres
New Adaptive Algorithms for Online Classification
Francesco Orabona, Koby Crammer
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 Bayesian Policy Priors for Reinforcement Learning
Finale Doshi-velez, David Wingate, Nicholas Roy et al.
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
Lauren Hannah, Warren Powell, David M. Blei
Nonparametric prior for adaptive sparsity
Vikas Raykar, Linda Zhao
Nonparametric Tree Graphical Models
Le Song, Arthur Gretton, Carlos Guestrin
Non-Stochastic Bandit Slate Problems
Satyen Kale, Lev Reyzin, Robert E. Schapire