Papers
Sensor Selection for Crowdsensing Dynamical Systems
Francois Schnitzler, Jia Yuan Yu, Shie Mannor
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
Simon Lacoste-Julien, Fredrik Lindsten, Francis Bach
Similarity Learning for High-Dimensional Sparse Data
Kuan Liu, Aurélien Bellet, Fei Sha
Sparse Dueling Bandits
Kevin Jamieson, Sumeet Katariya, Atul Deshpande et al.
Sparse Solutions to Nonnegative Linear Systems and Applications
Aditya Bhaskara, Ananda Suresh, Morteza Zadimoghaddam
Sparse Submodular Probabilistic PCA
Rajiv Khanna, Joydeep Ghosh, Russell Poldrack et al.
Sparsistency of \ell_1-Regularized M-Estimators
Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar et al.
Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method
David Anderson, Simon Du, Michael Mahoney et al.
State Space Methods for Efficient Inference in Student-t Process Regression
Arno Solin, Simo Särkkä
Stochastic Spectral Descent for Restricted Boltzmann Machines
David Carlson, Volkan Cevher, Lawrence Carin
Stochastic Structured Variational Inference
Matthew Hoffman, David Blei
Streaming Variational Inference for Bayesian Nonparametric Mixture Models
Alex Tank, Nicholas Foti, Emily Fox
Submodular Point Processes with Applications to Machine learning
Rishabh Iyer, Jeffrey Bilmes
Symmetric Iterative Proportional Fitting
Sven Kurras
Tensor Factorization via Matrix Factorization
Volodymyr Kuleshov, Arun Chaganty, Percy Liang
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
Fangjian Guo, Charles Blundell, Hanna Wallach et al.
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models
Yuancheng Zhu, Rina Foygel Barber
The Loss Surfaces of Multilayer Networks
Anna Choromanska, MIkael Henaff, Michael Mathieu et al.
The Security of Latent Dirichlet Allocation
Shike Mei, Xiaojin Zhu
Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits
Branislav Kveton, Zheng Wen, Azin Ashkan et al.
Toward Minimax Off-policy Value Estimation
Lihong Li, Remi Munos, Csaba Szepesvari
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning
Mario Lucic, Mesrob Ohannessian, Amin Karbasi et al.
Trend Filtering on Graphs
Yu-Xiang Wang, James Sharpnack, Alex Smola et al.
Two-stage sampled learning theory on distributions
Zoltan Szabo, Arthur Gretton, Barnabas Poczos et al.