Papers
Marginal Regression For Multitask Learning
Mladen Kolar, Han Liu
Multiple Texture Boltzmann Machines
Jyri Kivinen, Christopher Williams
Regression for sets of polynomial equations
Franz Kiraly, Paul Von Buenau, Jan Muller et al.
Bayesian Classifier Combination
Hyun-Chul Kim, Zoubin Ghahramani
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad Khan, Shakir Mohamed, Benjamin Marlin et al.
Online Clustering of Processes
Azadeh Khaleghi, Daniil Ryabko, Jeremie Mary et al.
On Bayesian Upper Confidence Bounds for Bandit Problems
Emilie Kaufmann, Olivier Cappe, Aurelien Garivier
Random Feature Maps for Dot Product Kernels
Purushottam Kar, Harish Karnick
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
Christopher Johnson, Ali Jalali, Pradeep Ravikumar
Detecting Network Cliques with Radon Basis Pursuit
Xiaoye Jiang, Yuan Yao, Han Liu et al.
A Variance Minimization Criterion to Active Learning on Graphs
Ming Ji, Jiawei Han
Subset Infinite Relational Models
Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada
Variable Selection for Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Irina Rish et al.
Stochastic Bandit Based on Empirical Moments
Junya Honda, Akimichi Takemura
Maximum Margin Temporal Clustering
Minh Hoai, Fernando De La Torre
Kernel Topic Models
Philipp Hennig, David Stern, Ralf Herbrich et al.
Information Theoretic Model Validation for Spectral Clustering
Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann
Evaluation of marginal likelihoods via the density of states
Michael Habeck
Locality Preserving Feature Learning
Quanquan Gu, Marina Danilevsky, Zhenhui Li et al.
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
Marco Grzegorzyk, Dirk Husmeier
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
Alex Grubb, Drew Bagnell
On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems
Yuri Grinberg, Doina Precup
Scalable Inference on Kingman’s Coalescent using Pair Similarity
Dilan Gorur, Levi Boyles, Max Welling
Regularization Paths with Guarantees for Convex Semidefinite Optimization
Joachim Giesen, Martin Jaggi, Soeren Laue