Papers
4,025 papers found
Local Anomaly Detection
Venkatesh Saligrama, Manqi Zhao
Locality Preserving Feature Learning
Quanquan Gu, Marina Danilevsky, Zhenhui Li et al.
Low rank continuous-space graphical models
Carl Smith, Frank Wood, Liam Paninski
Marginal Regression For Multitask Learning
Mladen Kolar, Han Liu
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
Martin Schiegg, Marion Neumann, Kristian Kersting
Maximum Margin Temporal Clustering
Minh Hoai, Fernando De La Torre
Max-Margin Min-Entropy Models
Kevin Miller, M. Pawan Kumar, Ben Packer et al.
Memory-efficient inference in dynamic graphical models using multiple cores
Galen Andrew, Jeff Bilmes
Message-Passing Algorithms for MAP Estimation Using DC Programming
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
Minimax hypothesis testing for curve registration
Olivier Collier
Minimax rates for homology inference
Sivaraman Balakrishnan, Alesandro Rinaldo, Don Sheehy et al.
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Vu, Jing Lei
Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou, Stefan Schaal
Multi-armed Bandit Problems with History
Pannagadatta Shivaswamy, Thorsten Joachims
Multi-label Subspace Ensemble
Tianyi Zhou, Dacheng Tao
Multiple Texture Boltzmann Machines
Jyri Kivinen, Christopher Williams
Multiresolution Deep Belief Networks
Yichuan Tang, Abdel-Rahman Mohamed
No Internal Regret via Neighborhood Watch
Dean Foster, Alexander Rakhlin
Nonlinear low-dimensional regression using auxiliary coordinates
Weiran Wang, Miguel Carreira-Perpinan
Nonparametric Estimation of Conditional Information and Divergences
Barnabas Poczos, Jeff Schneider
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
Alexander Paprotny, Jochen Garcke
On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems
Yuri Grinberg, Doina Precup
On Bayesian Upper Confidence Bounds for Bandit Problems
Emilie Kaufmann, Olivier Cappe, Aurelien Garivier
On Bisubmodular Maximization
Ajit Singh, Andrew Guillory, Jeff Bilmes