Papers
Generative Modeling for Maximizing Precision and Recall in Information Visualization
Jaakko Peltonen, Samuel Kaski
Adaptive Bandits: Towards the best history-dependent strategy
Maillard Odalric, Rémi Munos
Maximum Volume Clustering
Gang Niu, Bo Dai, Lin Shang et al.
Dimensionality Reduction for Spectral Clustering
Donglin Niu, Jennifer Dy, Michael I. Jordan
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Ramesh Nallapati, Daniel McFarland, Christopher Manning
Can matrix coherence be efficiently and accurately estimated?
Mehryar Mohri, Ameet Talwalkar
Estimating beta-mixing coefficients
Daniel McDonald, Cosma Shalizi, Mark Schervish
Online Learning of Structured Predictors with Multiple Kernels
Andre Filipe Torres Martins, Noah Smith, Eric Xing et al.
CAKE: Convex Adaptive Kernel Density Estimation
Ravi Sastry Ganti Mahapatruni, Alexander Gray
Learning mixtures of Gaussians with maximum-a-posteriori oracle
Satyaki Mahalanabis
Hidden-Unit Conditional Random Fields
Laurens van der Maaten, Max Welling, Lawrence Saul
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
Heng Luo, Ruimin Shen, Changyong Niu et al.
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
Hongtao Lu, Xianzhong Long, Jingyuan Lv
Group Orthogonal Matching Pursuit for Logistic Regression
Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe
Bayesian Hierarchical Cross-Clustering
Dazhuo Li, Patrick Shafto
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
Bin Li, Steven C.H. Hoi, Peilin Zhao et al.
Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau
Approximate inference for the loss-calibrated Bayesian
Simon Lacoste–Julien, Ferenc Huszár, Zoubin Ghahramani
On Time Varying Undirected Graphs
Mladen Kolar, Eric P. Xing
Convex envelopes of complexity controlling penalties: the case against premature envelopment
Vladimir Jojic, Suchi Saria, Daphne Koller
Convergent Decomposition Solvers for Tree-reweighted Free Energies
Jeremy Jancsary, Gerald Matz
On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki et al.
Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain, John Shawe–Taylor
Fast b-matching via Sufficient Selection Belief Propagation
Bert Huang, Tony Jebara