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Jiasen Yang
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 12
Top Topics
Locality Preserving
Iterative Algorithms
Latent Space
Fisher Discriminant Analysis
Top Venues
CoRR
ICML
UAI
AISTATS
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Publications
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Jiasen Yang
,
Xiao Wang
,
Chuanhai Liu
Partial conditioning for inference of many-normal-means with Hölder constraints.
Int. J. Approx. Reason.
159 (2023)
Agniva Chowdhury
,
Jiasen Yang
,
Petros Drineas
Randomized Iterative Algorithms for Fisher Discriminant Analysis.
UAI
(2019)
Parameswaran Raman
,
Jiasen Yang
Optimization on the Surface of the (Hyper)-Sphere.
CoRR
(2019)
Jiasen Yang
,
Vinayak A. Rao
,
Jennifer Neville
A Stein-Papangelou Goodness-of-Fit Test for Point Processes.
AISTATS
(2019)
Changping Meng
,
Jiasen Yang
,
Bruno Ribeiro
,
Jennifer Neville
HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings.
KDD
(2019)
Agniva Chowdhury
,
Jiasen Yang
,
Petros Drineas
Randomized Iterative Algorithms for Fisher Discriminant Analysis.
CoRR
(2018)
Jiasen Yang
,
Qiang Liu
,
Vinayak A. Rao
,
Jennifer Neville
Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy.
ICML
(2018)
Agniva Chowdhury
,
Jiasen Yang
,
Petros Drineas
An Iterative, Sketching-based Framework for Ridge Regression.
ICML
(2018)
Jiasen Yang
,
Agniva Chowdhury
,
Petros Drineas
Coreset Construction via Randomized Matrix Multiplication.
CoRR
(2017)
Jiasen Yang
,
Bruno Ribeiro
,
Jennifer Neville
Should We Be Confident in Peer Effects Estimated From Social Network Crawls?
ICWSM
(2017)
Jiasen Yang
,
Vinayak A. Rao
,
Jennifer Neville
Decoupling Homophily and Reciprocity with Latent Space Network Models.
UAI
(2017)
Jiasen Yang
,
Bruno Ribeiro
,
Jennifer Neville
Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls.
CoRR
(2017)