Papers
Toward Provably Correct Feature Selection in Arbitrary Domains
Dimitris Margaritis
Tracking Dynamic Sources of Malicious Activity at Internet Scale
Shobha Venkataraman, Avrim Blum, Dawn Song et al.
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum et al.
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
Gunhee Kim, Antonio Torralba
Unsupervised feature learning for audio classification using convolutional deep belief networks
Honglak Lee, Peter Pham, Yan Largman et al.
Unsupervised Feature Selection for the $k$-means Clustering Problem
Christos Boutsidis, Petros Drineas, Michael W. Mahoney
Variational Gaussian-process factor analysis for modeling spatio-temporal data
Jaakko Luttinen, Alexander Ilin
Variational Inference for the Nested Chinese Restaurant Process
Chong Wang, David M. Blei
Which graphical models are difficult to learn?
Andrea Montanari, Jose A. Pereira
White Functionals for Anomaly Detection in Dynamical Systems
Marco Cuturi, Jean-philippe Vert, Alexandre D'aspremont
Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation
Jie Luo, Barbara Caputo, Vittorio Ferrari
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
Jacob Whitehill, Ting-fan Wu, Jacob Bergsma et al.
Zero-shot Learning with Semantic Output Codes
Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton et al.
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Ben Calderhead, Mark Girolami, Neil D. Lawrence
A computational model of hippocampal function in trace conditioning
Elliot A. Ludvig, Richard S. Sutton, Eric Verbeek et al.
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation
Richard S. Sutton, Hamid R. Maei, Csaba Szepesvári
A Convex Upper Bound on the Log-Partition Function for Binary Distributions
Laurent E. Ghaoui, Assane Gueye
Adapting to a Market Shock: Optimal Sequential Market-Making
Sanmay Das, Malik Magdon-Ismail
Adaptive Martingale Boosting
Phil Long, Rocco Servedio
Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan L. Roux, Alain D. Cheveigné, Lucas C. Parra
A general framework for investigating how far the decoding process in the brain can be simplified
Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi et al.
Algorithms for Infinitely Many-Armed Bandits
Yizao Wang, Jean-yves Audibert, Rémi Munos
A Massively Parallel Digital Learning Processor
Hans P. Graf, Srihari Cadambi, Venkata Jakkula et al.
A mixture model for the evolution of gene expression in non-homogeneous datasets
Gerald Quon, Yee W. Teh, Esther Chan et al.