Papers
Asymptotic Theory for Linear-Chain Conditional Random Fields
Mathieu Sinn, Pascal Poupart
Mixed Cumulative Distribution Networks
Ricardo Silva, Charles Blundell, Yee Whye Teh
Spectral Clustering on a Budget
Ohad Shamir, Naftali Tishby
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Matthias Seeger, Hannes Nickisch
Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Hal Daumé III et al.
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
Ankan Saha, Ambuj Tewari
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stephane Ross, Geoffrey Gordon, Drew Bagnell
On NDCG Consistency of Listwise Ranking Methods
Pradeep Ravikumar, Ambuj Tewari, Eunho Yang
On the Estimation of α-Divergences
Barnabas Poczos, Jeff Schneider
Directional Statistics on Permutations
Sergey M. Plis, Stephen McCracken, Terran Lane et al.
Faithfulness in Chain Graphs: The Gaussian Case
Jose M. Peña
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