Papers
Expectation-Maximization for Learning Determinantal Point Processes
Jennifer A Gillenwater, Alex Kulesza, Emily B. Fox et al.
Exploiting easy data in online optimization
Amir Sani, Gergely Neu, Alessandro Lazaric
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L Denton, Wojciech Zaremba, Joan Bruna et al.
Exponential Concentration of a Density Functional Estimator
Shashank Singh, Barnabas Poczos
Extended and Unscented Gaussian Processes
Daniel M Steinberg, Edwin V. Bonilla
Extracting Latent Structure From Multiple Interacting Neural Populations
Joao Semedo, Amin Zandvakili, Adam Kohn et al.
Extremal Mechanisms for Local Differential Privacy
Peter Kairouz, Sewoong Oh, Pramod Viswanath
Extreme bandits
Alexandra Carpentier, Michal Valko
Factoring Variations in Natural Images with Deep Gaussian Mixture Models
Aaron van den Oord, Benjamin Schrauwen
Fairness in Multi-Agent Sequential Decision-Making
Chongjie Zhang, Julie A Shah
Fast and Robust Least Squares Estimation in Corrupted Linear Models
Brian McWilliams, Gabriel Krummenacher, Mario Lucic et al.
Fast Kernel Learning for Multidimensional Pattern Extrapolation
Andrew G Wilson, Elad Gilboa, Arye Nehorai et al.
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
Mohammad Taha Bahadori, Qi (Rose) Yu, Yan Liu
Fast Prediction for Large-Scale Kernel Machines
Cho-Jui Hsieh, Si Si, Inderjit S Dhillon
Fast Sampling-Based Inference in Balanced Neuronal Networks
Guillaume Hennequin, Laurence Aitchison, Mate Lengyel
Fast Training of Pose Detectors in the Fourier Domain
João F. Henriques, Pedro Martins, Rui F Caseiro et al.
Feature Cross-Substitution in Adversarial Classification
Bo Li, Yevgeniy Vorobeychik
Feedback Detection for Live Predictors
Stefan Wager, Nick Chamandy, Omkar Muralidharan et al.
Feedforward Learning of Mixture Models
Matthew Lawlor, Steven W Zucker
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu, Ju Sun, John Wright
Flexible Transfer Learning under Support and Model Shift
Xuezhi Wang, Jeff Schneider
From MAP to Marginals: Variational Inference in Bayesian Submodular Models
Josip Djolonga, Andreas Krause
From Stochastic Mixability to Fast Rates
Nishant A Mehta, Robert C. Williamson