Papers
Convex Calibrated Surrogates for Hierarchical Classification
Harish Ramaswamy, Ambuj Tewari, Shivani Agarwal
Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes
Huitong Qiu, Sheng Xu, Fang Han et al.
Hidden Markov Anomaly Detection
Nico Goernitz, Mikio Braun, Marius Kloft
Scalable Deep Poisson Factor Analysis for Topic Modeling
Zhe Gan, Changyou Chen, Ricardo Henao et al.
Variational Inference for Gaussian Process Modulated Poisson Processes
Chris Lloyd, Tom Gunter, Michael Osborne et al.
Scalable Variational Inference in Log-supermodular Models
Josip Djolonga, Andreas Krause
Community Detection Using Time-Dependent Personalized PageRank
Haim Avron, Lior Horesh
Learning Deep Structured Models
Liang-Chieh Chen, Alexander Schwing, Alan Yuille et al.
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Andrew Wilson, Hannes Nickisch
Training Deep Convolutional Neural Networks to Play Go
Christopher Clark, Amos Storkey
Harmonic Exponential Families on Manifolds
Taco Cohen, Max Welling
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices
Jie Wang, Jieping Ye
Deep Learning with Limited Numerical Precision
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan et al.
Stay on path: PCA along graph paths
Megasthenis Asteris, Anastasios Kyrillidis, Alex Dimakis et al.
Generative Moment Matching Networks
Yujia Li, Kevin Swersky, Rich Zemel
A Theoretical Analysis of Metric Hypothesis Transfer Learning
Michaël Perrot, Amaury Habrard
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
Jose Miguel Hernandez-Lobato, Michael Gelbart, Matthew Hoffman et al.
Is Feature Selection Secure against Training Data Poisoning?
Huang Xiao, Battista Biggio, Gavin Brown et al.
A Convex Optimization Framework for Bi-Clustering
Shiau Hong Lim, Yudong Chen, Huan Xu
Deep Edge-Aware Filters
Li Xu, Jimmy Ren, Qiong Yan et al.
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
Balazs Szorenyi, Robert Busa-Fekete, Paul Weng et al.
Large-scale Distributed Dependent Nonparametric Trees
Zhiting Hu, Ho Qirong, Avinava Dubey et al.
Hashing for Distributed Data
Cong Leng, Jiaxiang Wu, Jian Cheng et al.
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Julie Nutini, Mark Schmidt, Issam Laradji et al.
Learning Submodular Losses with the Lovasz Hinge
Jiaqian Yu, Matthew Blaschko