Papers
Exploiting Unrelated Tasks in Multi-Task Learning
Bernardino Romera Paredes, Andreas Argyriou, Nadia Berthouze et al.
Factorized Asymptotic Bayesian Inference for Mixture Modeling
Ryohei Fujimaki, Satoshi Morinaga
Factorized Diffusion Map Approximation
Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression
Bryan Conroy, Paul Sajda
Fast interior-point inference in high-dimensional sparse, penalized state-space models
Eftychios Pnevmatikakis, Liam Paninski
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness
Taiji Suzuki, Masashi Sugiyama
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
Matthias Seeger, Guillaume Bouchard
Fast Variational Mode-Seeking
Bo Thiesson, Jingu Kim
Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt, Zoubin Ghahramani
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