Papers
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching
Daniel Ritchie, Andreas Stuhlmüller, Noah Goodman
Convex Block-sparse Linear Regression with Expanders – Provably
Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad et al.
Revealing Graph Bandits for Maximizing Local Influence
Alexandra Carpentier, Michal Valko
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures
Mario Lucic, Olivier Bachem, Andreas Krause
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator
Liyan Song, Haiping Lu
Geometry-aware stationary subspace analysis
Inbal Horev, Florian Yger, Masashi Sugiyama
An Efficient Approach for Multi-Sentence Compression
Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong et al.
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA
Liyan Song, Haiping Lu
Echo State Hoeffding Tree Learning
Diego Marron, Jesse Read, Albert Bifet et al.
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems
Young-Jun Ko, Lucas Maystre, Matthias Grossglauser
Deep Gate Recurrent Neural Network
Yuan Gao, Dorota Glowacka
Bank of Weight Filters for Deep CNNs
Suresh Kirthi Kumaraswamy, PS Sastry, Kalpathi Ramakrishnan
Learning Distance Metrics for Multi-Label Classification
Henry Gouk, Bernhard Pfahringer, Michael Cree
Multitask Principal Component Analysis
Ikko Yamane, Florian Yger, Maxime Berar et al.
Learning Feature Aware Metric
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si et al.
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network
Haoli Bai, Zenglin Xu, Bin Liu et al.
A Bayesian Nonparametric Approach for Multi-label Classification
Vu Nguyen, Sunil Gupta, Santu Rana et al.
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays
Kar Wai Lim, Young Lee, Leif Hanlen et al.
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews
Zheng Chen, Yong Zhang, Yue Shang et al.
Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model
Xianghua Fu, Ting Wang, Jing Li et al.
Modelling Symbolic Music: Beyond the Piano Roll
Christian Walder
Learnability of Non-I.I.D.
Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers
Stephan Clemencon, Patrice Bertail, Guillaume Papa
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization
Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada et al.