Papers
Learning Where to Sample in Structured Prediction
Tianlin Shi, Jacob Steinhardt, Percy Liang
Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM
Roshan Shariff, András György, Csaba Szepesvari
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
Nihar Shah, Sivaraman Balakrishnan, Joseph Bradley et al.
Inference of Cause and Effect with Unsupervised Inverse Regression
Eleni Sgouritsa, Dominik Janzing, Philipp Hennig et al.
Sensor Selection for Crowdsensing Dynamical Systems
Francois Schnitzler, Jia Yuan Yu, Shie Mannor
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
Mark Schmidt, Reza Babanezhad, Mohamed Ahmed et al.
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
Hiroaki Sasaki, Yung-Kyun Noh, Masashi Sugiyama
Gamma Processes, Stick-Breaking, and Variational Inference
Anirban Roychowdhury, Brian Kulis
Learning Efficient Anomaly Detectors from K-NN Graphs
Jonathan Root, Jing Qian, Venkatesh Saligrama
A Scalable Algorithm for Structured Kernel Feature Selection
Shaogang Ren, Shuai Huang, John Onofrey et al.
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives
Sashank Reddi, Aaditya Ramdas, Barnabas Poczos et al.
Deep Exponential Families
Rajesh Ranganath, Linpeng Tang, Laurent Charlin et al.
Robust sketching for multiple square-root LASSO problems
Vu Pham, Laurent El Ghaoui
On Theoretical Properties of Sum-Product Networks
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf et al.
Feature Selection for Linear SVM with Provable Guarantees
Saurabh Paul, Malik Magdon-Ismail, Petros Drineas
Reactive bandits with attitude
Pedro Ortega, Kee-Eung Kim, Daniel Lee
Fast Function to Function Regression
Junier Oliva, William Neiswanger, Barnabas Poczos et al.
Variance Reduction via Antithetic Markov Chains
James Neufeld, Dale Schuurmans, Michael Bowling
Efficient Training of Structured SVMs via Soft Constraints
Ofer Meshi, Nathan Srebro, Tamir Hazan
A Spectral Algorithm for Inference in Hidden semi-Markov Models
Igor Melnyk, Arindam Banerjee
The Security of Latent Dirichlet Allocation
Shike Mei, Xiaojin Zhu
Active Pointillistic Pattern Search
Yifei Ma, Danica J. Sutherland, Roman Garnett et al.
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning
Mario Lucic, Mesrob Ohannessian, Amin Karbasi et al.
Similarity Learning for High-Dimensional Sparse Data
Kuan Liu, Aurélien Bellet, Fei Sha