Papers
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski et al.
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models
Sinead Williamson, Avinava Dubey, Eric Xing
Parameter Learning and Convergent Inference for Dense Random Fields
Philipp Kraehenbuehl, Vladlen Koltun
Parsing epileptic events using a Markov switching process model for correlated time series
Drausin Wulsin, Emily Fox, Brian Litt
Planning by Prioritized Sweeping with Small Backups
Harm Van Seijen, Rich Sutton
Precision-recall space to correct external indices for biclustering
Blaise Hanczar, Mohamed Nadif
Predictable Dual-View Hashing
Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei et al.
Principal Component Analysis on non-Gaussian Dependent Data
Fang Han, Han Liu
\proptoSVM for Learning with Label Proportions
Felix Yu, Dong Liu, Sanjiv Kumar et al.
Quantile Regression for Large-scale Applications
Jiyan Yang, Xiangrui Meng, Michael Mahoney
Quickly Boosting Decision Trees – Pruning Underachieving Features Early
Ron Appel, Thomas Fuchs, Piotr Dollar et al.
Regularization of Neural Networks using DropConnect
Li Wan, Matthew Zeiler, Sixin Zhang et al.
Revisiting the Nystrom method for improved large-scale machine learning
Alex Gittens, Michael Mahoney
Riemannian Similarity Learning
Li Cheng
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction
Sébastien Giguère, François Laviolette, Mario Marchand et al.
Robust and Discriminative Self-Taught Learning
Hua Wang, Feiping Nie, Heng Huang
Robust Regression on MapReduce
Xiangrui Meng, Michael Mahoney
Robust Sparse Regression under Adversarial Corruption
Yudong Chen, Constantine Caramanis, Shie Mannor
Robust Structural Metric Learning
Daryl Lim, Gert Lanckriet, Brian McFee
Rounding Methods for Discrete Linear Classification
Yann Chevaleyre, Frédéerick Koriche, Jean-daniel Zucker
SADA: A General Framework to Support Robust Causation Discovery
Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
Safe Policy Iteration
Matteo Pirotta, Marcello Restelli, Alessio Pecorino et al.
Safe Screening of Non-Support Vectors in Pathwise SVM Computation
Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi