Follow
Jiasen Yang
Title
Cited by
Cited by
Year
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy
J Yang, Q Liu, V Rao, J Neville
International Conference on Machine Learning (ICML), 5557-5566, 2018
572018
An Iterative, Sketching-based Framework for Ridge Regression
A Chowdhury, J Yang, P Drineas
International Conference on Machine Learning (ICML), 988-997, 2018
502018
Decoupling Homophily and Reciprocity with Latent Space Network Models
J Yang, V Rao, J Neville
Conference on Uncertainty in Artificial Intelligence (UAI), 2017
252017
Hats: A hierarchical sequence-attention framework for inductive set-of-sets embeddings
C Meng, J Yang, B Ribeiro, J Neville
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
192019
A Stein–Papangelou goodness-of-fit test for point processes
J Yang, V Rao, J Neville
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
172019
Randomized iterative algorithms for fisher discriminant analysis
A Chowdhury, J Yang, P Drineas
arXiv preprint arXiv:1809.03045, 2018
92018
Should We Be Confident in Peer Effects Estimated From Partial Crawls of Social Networks
J Yang, B Ribeiro, J Neville
International AAAI Conference on Web and Social Media (ICWSM), 708-711, 2017
9*2017
Structural conditions for projection-cost preservation via randomized matrix multiplication
A Chowdhury, J Yang, P Drineas
Linear Algebra and its Applications 573, 144-165, 2019
62019
Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls
J Yang, B Ribeiro, J Neville
International Workshop on Statistical Relational AI (StarAI), 2017
52017
Statistical Learning and Model Criticism for Networks and Point Processes
J Yang
Purdue University, 2019
2019
A Stein–Papangelou Goodness-of-Fit Test for Point Processes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–11