Papers
Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy et al.
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
Vijay Mahadevan, Chi W. Wong, Jose C. Pereira et al.
θ-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
Congcong Li, Ashutosh Saxena, Tsuhan Chen
Multiple Instance Filtering
Kamil A. Wnuk, Stefano Soatto
On fast approximate submodular minimization
Stefanie Jegelka, Hui Lin, Jeff A. Bilmes
Advice Refinement in Knowledge-Based SVMs
Gautam Kunapuli, Richard Maclin, Jude W. Shavlik
Variance Reduction in Monte-Carlo Tree Search
Joel Veness, Marc Lanctot, Michael Bowling
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan et al.
Sparse recovery by thresholded non-negative least squares
Martin Slawski, Matthias Hein
On Causal Discovery with Cyclic Additive Noise Models
Joris M. Mooij, Dominik Janzing, Tom Heskes et al.
Large-Scale Category Structure Aware Image Categorization
Bin Zhao, Fei Li, Eric P. Xing
Committing Bandits
Loc X. Bui, Ramesh Johari, Shie Mannor
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal et al.
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds
Nitesh Shroff, Pavan Turaga, Rama Chellappa
The Manifold Tangent Classifier
Salah Rifai, Yann N. Dauphin, Pascal Vincent et al.
Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori et al.
Learning unbelievable probabilities
Zachary Pitkow, Yashar Ahmadian, Ken D. Miller
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
Hai-son P. Le, Ziv Bar-joseph
A Model for Temporal Dependencies in Event Streams
Asela Gunawardana, Christopher Meek, Puyang Xu
Environmental statistics and the trade-off between model-based and TD learning in humans
Dylan A. Simon, Nathaniel D. Daw
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
Armen Allahverdyan, Aram Galstyan
Crowdclustering
Ryan G. Gomes, Peter Welinder, Andreas Krause et al.
Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo et al.
Iterative Learning for Reliable Crowdsourcing Systems
David R. Karger, Sewoong Oh, Devavrat Shah