Papers
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares
Garvesh Raskutti, Michael W. Mahoney
Neyman-Pearson Classification under High-Dimensional Settings
Anqi Zhao, Yang Feng, Lie Wang et al.
Measuring Dependence Powerfully and Equitably
Yakir A. Reshef, David N. Reshef, Hilary K. Finucane et al.
Multi-Objective Markov Decision Processes for Data-Driven Decision Support
Daniel J. Lizotte, Eric B. Laber
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
Shusen Wang, Zhihua Zhang, Tong Zhang
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation
Sylvain Arlot, Matthieu Lerasle
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm
Ery Arias-Castro, David Mason, Bruno Pelletier
Neural Autoregressive Distribution Estimation
Benigno Uria, Marc-Alexandre Côté, Karol Gregor et al.
Bayesian Graphical Models for Multivariate Functional Data
Hongxiao Zhu, Nate Strawn, David B. Dunson
Guarding against Spurious Discoveries in High Dimensions
Jianqing Fan, Wen-Xin Zhou
Nonparametric Network Models for Link Prediction
Sinead A. Williamson
Multivariate Spearman's ρ for Aggregating Ranks Using Copulas
Justin Bedő, Cheng Soon Ong
Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles
Xiangju Qin, Pádraig Cunningham, Michael Salter-Townshend
Mutual Information Based Matching for Causal Inference with Observational Data
Lei Sun, Alexander G. Nikolaev
Machine Learning in an Auction Environment
Patrick Hummel, R. Preston McAfee
Bayesian group factor analysis with structured sparsity
Shiwen Zhao, Chuan Gao, Sayan Mukherjee et al.
Bipartite Ranking: a Risk-Theoretic Perspective
Aditya Krishna Menon, Robert C. Williamson
Optimal Learning Rates for Localized SVMs
Mona Meister, Ingo Steinwart
Data-driven Rank Breaking for Efficient Rank Aggregation
Ashish Khetan, Sewoong Oh
On the Influence of Momentum Acceleration on Online Learning
Kun Yuan, Bicheng Ying, Ali H. Sayed
One-class classification of point patterns of extremes
Stijn Luca, David A. Clifton, Bart Vanrumste
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes
Tobias Sutter, Arnab Ganguly, Heinz Koeppl
Classification of Imbalanced Data with a Geometric Digraph Family
Artür Manukyan, Elvan Ceyhan