Should We Be Confident in Peer Effects Estimated From Social Network Crawls? - Jiasen Yang; Bruno Ribeiro 001; Jennifer Neville (ICWSM, 2017)

Decoupling Homophily and Reciprocity with Latent Space Network Models. - Jiasen Yang; Vinayak A. Rao; Jennifer Neville (UAI, 2017)

Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls. - Jiasen Yang; Bruno Ribeiro 001; Jennifer Neville (CoRR, 2017)

Coreset Construction via Randomized Matrix Multiplication. - Jiasen Yang; Agniva Chowdhury; Petros Drineas (CoRR, 2017)

An Iterative, Sketching-based Framework for Ridge Regression. - Agniva Chowdhury; Jiasen Yang; Petros Drineas (ICML, 2018)

Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy. - Jiasen Yang; Qiang Liu; Vinayak A. Rao; Jennifer Neville (ICML, 2018)

A Stein-Papangelou Goodness-of-Fit Test for Point Processes. - Jiasen Yang; Vinayak A. Rao; Jennifer Neville (AISTATS, 2019)

HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. - Changping Meng; Jiasen Yang; Bruno Ribeiro 001; Jennifer Neville (KDD, 2019)

Randomized Iterative Algorithms for Fisher Discriminant Analysis. - Agniva Chowdhury; Jiasen Yang; Petros Drineas (UAI, 2019)

Optimization on the Surface of the (Hyper)-Sphere. - Parameswaran Raman; Jiasen Yang (CoRR, 2019)

Partial conditioning for inference of many-normal-means with Hölder constraints. - Jiasen Yang; Xiao Wang 045; Chuanhai Liu (Int. J. Approx. Reason., 2023)

A high-accuracy unsupervised statistical learning method for joint dangling entity detection and entity alignment. - Cong Xu; Mengxin Shi; Xiang Gao; Zhongkang Yin; Xiujuan Yao; Wei Li; Jiasen Yang (Inf. Syst., 2025)