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2020 – today
- 2023
[j1]Jiasen Yang, Xiao Wang, Chuanhai Liu
:
Partial conditioning for inference of many-normal-means with Hölder constraints. Int. J. Approx. Reason. 159: 108946 (2023)
2010 – 2019
- 2019
- [c7]Jiasen Yang, Vinayak A. Rao, Jennifer Neville:
A Stein-Papangelou Goodness-of-Fit Test for Point Processes. AISTATS 2019: 226-235 - [c6]Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville:
HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. KDD 2019: 783-792 - [c5]Agniva Chowdhury, Jiasen Yang, Petros Drineas:
Randomized Iterative Algorithms for Fisher Discriminant Analysis. UAI 2019: 239-249 - [i4]Parameswaran Raman, Jiasen Yang:
Optimization on the Surface of the (Hyper)-Sphere. CoRR abs/1909.06463 (2019) - 2018
- [c4]Agniva Chowdhury, Jiasen Yang, Petros Drineas:
An Iterative, Sketching-based Framework for Ridge Regression. ICML 2018: 988-997 - [c3]Jiasen Yang, Qiang Liu, Vinayak A. Rao, Jennifer Neville:
Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy. ICML 2018: 5557-5566 - [i3]Agniva Chowdhury, Jiasen Yang, Petros Drineas:
Randomized Iterative Algorithms for Fisher Discriminant Analysis. CoRR abs/1809.03045 (2018) - 2017
- [c2]Jiasen Yang, Bruno Ribeiro, Jennifer Neville:
Should We Be Confident in Peer Effects Estimated From Social Network Crawls? ICWSM 2017: 708-711 - [c1]Jiasen Yang, Vinayak A. Rao, Jennifer Neville:
Decoupling Homophily and Reciprocity with Latent Space Network Models. UAI 2017 - [i2]Jiasen Yang, Agniva Chowdhury, Petros Drineas:
Coreset Construction via Randomized Matrix Multiplication. CoRR abs/1705.10102 (2017) - [i1]Jiasen Yang, Bruno Ribeiro, Jennifer Neville:
Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls. CoRR abs/1707.07716 (2017)
Coauthor Index
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