56 citations · 228 across the 31 of their papers we have counts for
34 papers
Maximum entropy based testing in network models: ERGMs and constrained optimization
Subhro Ghosh, Rathindra Nath Karmakar, Samriddha Lahiry
Stochastic network models play a central role across a wide range of scientific disciplines, and questions of statistical inference arise naturally in this context. In this paper w…
On the Statistical Optimality of Optimal Decision Trees
Zineng Xu, Subhro Ghosh, Yan Shuo Tan
While globally optimal empirical risk minimization (ERM) decision trees have become computationally feasible and empirically successful, rigorous theoretical guarantees for their s…
Learning Networks from Gaussian Graphical Models and Gaussian Free Fields
Subhro Ghosh, Soumendu Sundar Mukherjee, Hoang-Son Tran +1
We investigate the problem of estimating the structure of a weighted network from repeated measurements of a Gaussian Graphical Model (GGM) on the network. In this vein, we conside…
Dictionary Learning under Symmetries via Group Representations
Subhroshekhar Ghosh, Aaron Y. R. Low, Yong Sheng Soh +2
The dictionary learning problem can be viewed as a data-driven process to learn a suitable transformation so that data is sparsely represented directly from example data. In this p…
Approximate Gibbsian structure in strongly correlated point fields and generalized Gaussian zero ensembles
Ujan Gangopadhyay, Subhro Ghosh, Kin Aun Tan
Gibbsian structure in random point fields has been a classical tool for studying their spatial properties. However, exact Gibbs property is available only in a relatively limited c…
Generative Principal Component Analysis
Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh +2
In this paper, we study the problem of principal component analysis with generative modeling assumptions, adopting a general model for the observed matrix that encompasses notable…