Papers
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes
Chiwoo Park, Jianhua Z. Huang
Electronic Health Record Analysis via Deep Poisson Factor Models
Ricardo Henao, James T. Lu, Joseph E. Lucas et al.
End-to-End Training of Deep Visuomotor Policies
Sergey Levine, Chelsea Finn, Trevor Darrell et al.
e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem
Marcela Zuluaga, Andreas Krause, Markus Püschel
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
Estimating Causal Structure Using Conditional DAG Models
Chris. J. Oates, Jim Q. Smith, Sach Mukherjee
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm
Manuel Gomez-Rodriguez, Le Song, Hadi Daneshm et al.
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
Nihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley et al.
Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums
P.-L. Giscard, Z. Choo, S. J. Thwaite et al.
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics
Sebastian J. Vollmer, Konstantinos C. Zygalakis, Yee Whye Teh
Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision
Byron C. Wallace, Joël Kuiper, Aakash Sharma et al.
Extremal Mechanisms for Local Differential Privacy
Peter Kairouz, Sewoong Oh, Pramod Viswanath
fastFM: A Library for Factorization Machines
Immanuel Bayer
Feature-Level Domain Adaptation
Wouter M. Kouw, Laurens J.P. van der Maaten, Jesse H. Krijthe et al.
Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case
Joon Kwon, Vianney Perchet
GenSVM: A Generalized Multiclass Support Vector Machine
Gerrit J.J. van den Burg, Patrick J.F. Groenen
Gradients Weights improve Regression and Classification
Samory Kpotufe, Abdeslam Boularias, Thomas Schultz et al.
Guarding against Spurious Discoveries in High Dimensions
Jianqing Fan, Wen-Xin Zhou
Harry: A Tool for Measuring String Similarity
Konrad Rieck, Christian Wressnegger
Herded Gibbs Sampling
Yutian Chen, Luke Bornn, Nando de Freitas et al.
Hierarchical Relative Entropy Policy Search
Christian Daniel, Gerhard Neumann, Oliver Kroemer et al.
How to Center Deep Boltzmann Machines
Jan Melchior, Asja Fischer, Laurenz Wiskott
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks
Shiliang Zhang, Hui Jiang, Lirong Dai