Papers
4,025 papers found
Forward Basis Selection for Sparse Approximation over Dictionary
Xiaotong Yuan, Shuicheng Yan
Gaussian Processes for time-marked time-series data
John Cunningham, Zoubin Ghahramani, Carl Rasmussen
Generalized Optimal Reverse Prediction
Martha White, Dale Schuurmans
Generic Methods for Optimization-Based Modeling
Justin Domke
Globally Optimizing Graph Partitioning Problems Using Message Passing
Elad Mezuman, Yair Weiss
Graphlet decomposition of a weighted network
Hossein Azari Soufiani, Edo Airoldi
Hierarchical Latent Dictionaries for Models of Brain Activation
Alona Fyshe, Emily Fox, David Dunson et al.
Hierarchical Relative Entropy Policy Search
Christian Daniel, Gerhard Neumann, Jan Peters
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
Christopher Johnson, Ali Jalali, Pradeep Ravikumar
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
Jie Liu, Chunming Zhang, Catherine Mccarty et al.
High-Rank Matrix Completion
Brian Eriksson, Laura Balzano, Robert Nowak
History-alignment models for bias-aware prediction of virological response to HIV combination therapy
Jasmina Bogojeska, Daniel Stockel, Maurizio Zazzi et al.
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
Simo Sarkka, Jouni Hartikainen
Information Theoretic Model Validation for Spectral Clustering
Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann
Informative Priors for Markov Blanket Discovery
Adam Pocock, Mikel Lujan, Gavin Brown
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Antoine Bordes, Xavier Glorot, Jason Weston et al.
Kernel Topic Models
Philipp Hennig, David Stern, Ralf Herbrich et al.
Krylov Subspace Descent for Deep Learning
Oriol Vinyals, Daniel Povey
Learning Fourier Sparse Set Functions
Peter Stobbe, Andreas Krause
Learning from Weak Teachers
Ruth Urner, Shai Ben David, Ohad Shamir
Learning Low-order Models for Enforcing High-order Statistics
Patrick Pletscher, Pushmeet Kohli
Lifted coordinate descent for learning with trace-norm regularization
Miroslav Dudik, Zaid Harchaoui, Jerome Malick
Lifted Linear Programming
Martin Mladenov, Babak Ahmadi, Kristian Kersting
Lifted Variable Elimination with Arbitrary Constraints
Nima Taghipour, Daan Fierens, Jesse Davis et al.