16 citations · 34 across the 6 of their papers we have counts for
5 papers · 1 filter
Bayesian Experimental Design for Symbolic Discovery
Kenneth L. Clarkson, Cristina Cornelio, Sanjeeb Dash +3
This study concerns the formulation and application of Bayesian optimal experimental design to symbolic discovery, which is the inference from observational data of predictive mode…
Integer Programming for Causal Structure Learning in the Presence of Latent Variables
Rui Chen, Sanjeeb Dash, Tian Gao
The problem of finding an ancestral acyclic directed mixed graph (ADMG) that represents the causal relationships between a set of variables is an important area of research on caus…
Symbolic Regression using Mixed-Integer Nonlinear Optimization
Vernon Austel, Cristina Cornelio, Sanjeeb Dash +4
The Symbolic Regression (SR) problem, where the goal is to find a regression function that does not have a pre-specified form but is any function that can be composed of a list of…
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar +1
In modern multilabel classification problems, each data instance belongs to a small number of classes from a large set of classes. In other words, these problems involve learning v…
Generalized Linear Rule Models
Dennis Wei, Sanjeeb Dash, Tian Gao +1
This paper considers generalized linear models using rule-based features, also referred to as rule ensembles, for regression and probabilistic classification. Rules facilitate mode…