Papers
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
Yuchen Zhang, Xiao Lin
Discovering Temporal Causal Relations from Subsampled Data
Mingming Gong, Kun Zhang, Bernhard Schoelkopf et al.
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM
Ching-Pei Lee, Dan Roth
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds
Yuchen Zhang, Martin Wainwright, Michael Jordan
Distributed Gaussian Processes
Marc Deisenroth, Jun Wei Ng
Distributed Inference for Dirichlet Process Mixture Models
Hong Ge, Yutian Chen, Moquan Wan et al.
Distributional Rank Aggregation, and an Axiomatic Analysis
Adarsh Prasad, Harsh Pareek, Pradeep Ravikumar
Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets
Woosang Lim, Minhwan Kim, Haesun Park et al.
DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics
Yining Wang, Jun Zhu
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, Alex Graves et al.
Dynamic Sensing: Better Classification under Acquisition Constraints
Oran Richman, Shie Mannor
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Zheng Wen, Branislav Kveton, Azin Ashkan
Efficient Training of LDA on a GPU by Mean-for-Mode Estimation
Jean-Baptiste Tristan, Joseph Tassarotti, Guy Steele
\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods
Zirui Zhou, Qi Zhang, Anthony Man-Cho So
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)
Maurizio Filippone, Raphael Engler
Entropic Graph-based Posterior Regularization
Maxwell Libbrecht, Michael Hoffman, Jeff Bilmes et al.
Entropy-Based Concentration Inequalities for Dependent Variables
Liva Ralaivola, Massih-Reza Amini
Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees
Mathieu Serrurier, Henri Prade
Exponential Integration for Hamiltonian Monte Carlo
Wei-Lun Chao, Justin Solomon, Dominik Michels et al.
Faster cover trees
Mike Izbicki, Christian Shelton
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
Dan Garber, Elad Hazan
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
Seth Flaxman, Andrew Wilson, Daniel Neill et al.
Feature-Budgeted Random Forest
Feng Nan, Joseph Wang, Venkatesh Saligrama
Fictitious Self-Play in Extensive-Form Games
Johannes Heinrich, Marc Lanctot, David Silver
Finding Galaxies in the Shadows of Quasars with Gaussian Processes
Roman Garnett, Shirley Ho, Jeff Schneider