Papers
23,522 papers found
A Discriminative Latent Model of Image Region and Object Tag Correspondence
Yang Wang, Greg Mori
Self-Paced Learning for Latent Variable Models
M. P. Kumar, Benjamin Packer, Daphne Koller
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
Felipe Gerhard, Wulfram Gerstner
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations
Emin Orhan, Robert A. Jacobs
Scalable Training of Mixture Models via Coresets
Dan Feldman, Matthew Faulkner, Andreas Krause
Dynamical segmentation of single trials from population neural data
Biljana Petreska, Byron M. Yu, John P. Cunningham et al.
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham M. Kakade, Varun Kanade, Ohad Shamir et al.
Dimensionality Reduction Using the Sparse Linear Model
Ioannis A. Gkioulekas, Todd Zickler
Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth et al.
Autonomous Learning of Action Models for Planning
Neville Mehta, Prasad Tadepalli, Alan Fern
Orthogonal Matching Pursuit with Replacement
Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar, Vincent Tan, Alan S. Willsky
Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee W. Teh, Charles Blundell, Lloyd Elliott
Improving Topic Coherence with Regularized Topic Models
David Newman, Edwin V. Bonilla, Wray Buntine
Learning Auto-regressive Models from Sequence and Non-sequence Data
Tzu-kuo Huang, Jeff G. Schneider
Learning to Learn with Compound HD Models
Antonio Torralba, Joshua B. Tenenbaum, Ruslan Salakhutdinov
Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham et al.
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
Onur Dikmen, Cédric Févotte
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
Xianxing Zhang, Lawrence Carin, David B. Dunson
Selecting the State-Representation in Reinforcement Learning
Odalric-ambrym Maillard, Daniil Ryabko, Rémi Munos
Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli et al.
A Global Structural EM Algorithm for a Model of Cancer Progression
Ali Tofigh, Erik Sj̦lund, Mattias H̦glund et al.
Infinite Latent SVM for Classification and Multi-task Learning
Jun Zhu, Ning Chen, Eric P. Xing
Select and Sample - A Model of Efficient Neural Inference and Learning
Jacquelyn A. Shelton, Abdul S. Sheikh, Pietro Berkes et al.
On Learning Discrete Graphical Models using Greedy Methods
Ali Jalali, Christopher C. Johnson, Pradeep K. Ravikumar