Papers
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization
Du Tran, Junsong Yuan
Reducing statistical time-series problems to binary classification
Daniil Ryabko, Jeremie Mary
Active Comparison of Prediction Models
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Ensemble weighted kernel estimators for multivariate entropy estimation
Kumar Sricharan, Alfred O. Hero
A mechanistic model of early sensory processing based on subtracting sparse representations
Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii
Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati, Deva Ramanan
Monte Carlo Methods for Maximum Margin Supervised Topic Models
Qixia Jiang, Jun Zhu, Maosong Sun et al.
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
Nicolas L. Roux, Mark Schmidt, Francis R. Bach
Automatic Feature Induction for Stagewise Collaborative Filtering
Joonseok Lee, Mingxuan Sun, Seungyeon Kim et al.
Slice sampling normalized kernel-weighted completely random measure mixture models
Nicholas Foti, Sinead Williamson
The Lovász ϑ function, SVMs and finding large dense subgraphs
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya et al.
Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-paz, Jose M. Hernández-lobato, Bernhard Schölkopf
Mirror Descent Meets Fixed Share (and feels no regret)
Nicolò Cesa-bianchi, Pierre Gaillard, Gabor Lugosi et al.
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery
Ehsan Elhamifar, Guillermo Sapiro, René Vidal
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models
Kei Wakabayashi, Takao Miura
Repulsive Mixtures
Francesca Petralia, Vinayak Rao, David B. Dunson
Isotropic Hashing
Weihao Kong, Wu-jun Li
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
Pietro D. Lena, Ken Nagata, Pierre F. Baldi
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes
Bruno Scherrer, Boris Lesner
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric
Trajectory-Based Short-Sighted Probabilistic Planning
Felipe Trevizan, Manuela Veloso
Hierarchical Optimistic Region Selection driven by Curiosity
Odalric-ambrym Maillard
Learning as MAP Inference in Discrete Graphical Models
Xianghang Liu, James Petterson, Tibério S. Caetano
Learned Prioritization for Trading Off Accuracy and Speed
Jiarong Jiang, Adam Teichert, Jason Eisner et al.
Multiresolution analysis on the symmetric group
Risi Kondor, Walter Dempsey