papers
Publications (11)
cs.LG2018
Scaling Gaussian Process Regression with Derivatives
David Eriksson, Kun Dong, Eric Hans Lee +2
cs.SI2015
Detecting Overlapping Communities from Local Spectral Subspaces
Kun He, Yiwei Sun, David Bindel +2
cs.SI2019
Krylov Subspace Approximation for Local Community Detection in Large Networks
Kun He, Pan Shi, David Bindel +1
cs.SI2015
Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach
Yixuan Li, Kun He, David Bindel +1
cs.SI2015
Overlapping Community Detection via Local Spectral Clustering
Yixuan Li, Kun He, David Bindel +1
cs.GT2012
How Bad is Forming Your Own Opinion?
David Bindel, Jon Kleinberg, Sigal Oren
stat.ML2017
Scalable Log Determinants for Gaussian Process Kernel Learning
Kun Dong, David Eriksson, Hannes Nickisch +2
math.OC2019
pySOT and POAP: An event-driven asynchronous framework for surrogate optimization
David Eriksson, David Bindel, Christine A. Shoemaker
physics.ao-ph2019
A subspace pursuit method to infer refractivity in the marine atmospheric boundary layer
Marc Aurèle Gilles, Christopher Earls, David Bindel
cs.CL2017
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models
Moontae Lee, David Bindel, David Mimno
cs.LG2016
Robust Spectral Inference for Joint Stochastic Matrix Factorization
Moontae Lee, David Bindel, David Mimno