Papers
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong, Tackgeun You, Suha Kwak et al.
On Symmetric and Asymmetric LSHs for Inner Product Search
Behnam Neyshabur, Nathan Srebro
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence
Nathaniel Korda, Prashanth La
On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property
Maxime Gasse, Alexandre Aussem, Haytham Elghazel
On the Rate of Convergence and Error Bounds for LSTD(λ)
Manel Tagorti, Bruno Scherrer
On the Relationship between Sum-Product Networks and Bayesian Networks
Han Zhao, Mazen Melibari, Pascal Poupart
Optimal and Adaptive Algorithms for Online Boosting
Alina Beygelzimer, Satyen Kale, Haipeng Luo
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens, Roger Grosse
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
Harikrishna Narasimhan, Purushottam Kar, Prateek Jain
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models
Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya
Ordinal Mixed Membership Models
Seppo Virtanen, Mark Girolami
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
Stephen Bach, Bert Huang, Jordan Boyd-Graber et al.
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent
Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit Dhillon
PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data
Toby Hocking, Guillem Rigaill, Guillaume Bourque
Phrase-based Image Captioning
Remi Lebret, Pedro Pinheiro, Ronan Collobert
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
Jose Miguel Hernandez-Lobato, Michael Gelbart, Matthew Hoffman et al.
Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons
Dohyung Park, Joe Neeman, Jin Zhang et al.
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu-Xiang Wang, Stephen Fienberg, Alex Smola
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
Jose Miguel Hernandez-Lobato, Ryan Adams
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
Jason Pacheco, Erik Sudderth
PU Learning for Matrix Completion
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit Dhillon
Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA
Bo Xin, David Wipf
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
Balazs Szorenyi, Robert Busa-Fekete, Paul Weng et al.
Rademacher Observations, Private Data, and Boosting
Richard Nock, Giorgio Patrini, Arik Friedman