activity
20172023
most citedStochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls

4 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

math.ST2023★ 1 cited

Partial Conditioning for Inference of Many-Normal-Means with Hölder Constraints

Jiasen Yang, Xiao Wang, Chuanhai Liu

Inferential models have been proposed for valid and efficient prior-free probabilistic inference. As it gradually gained popularity, this theory is subject to further developments…

cs.CG2019★ 2 cited

Optimization on the Surface of the (Hyper)-Sphere

Parameswaran Raman, Jiasen Yang

Thomson problem is a classical problem in physics to study how number of charged particles distribute themselves on the surface of a sphere of dimensions. When , i.e.…

stat.ML2018★ 4 cited

Randomized Iterative Algorithms for Fisher Discriminant Analysis

Agniva Chowdhury, Jiasen Yang, Petros Drineas

Fisher discriminant analysis (FDA) is a widely used method for classification and dimensionality reduction. When the number of predictor variables greatly exceeds the number of obs…

stat.ML2017★ 4 cited

Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls

Jiasen Yang, Bruno Ribeiro, Jennifer Neville

Research in statistical relational learning has produced a number of methods for learning relational models from large-scale network data. While these methods have been successfull…

stat.ML2017

Structural Conditions for Projection-Cost Preservation via Randomized Matrix Multiplication

Agniva Chowdhury, Jiasen Yang, Petros Drineas

Projection-cost preservation is a low-rank approximation guarantee which ensures that the cost of any rank- projection can be preserved using a smaller sketch of the original da…