2 citations · 2 across the 4 of their papers we have counts for
8 papers
Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
Jongmin Mun, Paromita Dubey, Yingying Fan
High-dimensional sparse clustering is a combinatorial NP-hard problem that arises from the coupling between cluster assignment and variable selection. We demonstrate that semidefin…
Inference for Fréchet Regression
Wookyeong Song, Paromita Dubey, Hans-Georg Müller +1
Linear regression is widely used to model relationships between responses and predictors. In modern applications, one encounters data where the responses are non-Euclidean random o…
Change Point Inference for Non-Euclidean Data Sequences using Distance Profiles
Paromita Dubey, Minxing Zheng
We introduce a powerful scan statistic and the corresponding test for detecting the presence and pinpointing the location of a change point within the distribution of a data sequen…
LLmFPCA-detect: LLM-powered Multivariate Functional PCA for Anomaly Detection in Sparse Longitudinal Texts
Prasanjit Dubey, Aritra Guha, Zhengyi Zhou +3
Sparse longitudinal (SL) textual data arises when individuals generate text repeatedly over time (e.g., customer reviews, occasional social media posts, electronic medical records…
DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses
Kyum Kim, Yaqing Chen, Paromita Dubey
Regression with non-Euclidean responses -- e.g., probability distributions, networks, symmetric positive-definite matrices, and compositions -- has become increasingly important in…
DiPMInd: Distance Profile based Mutual Independence testing for random objects
Yaqing Chen, Paromita Dubey
This paper develops a novel unified framework for testing mutual independence among random objects residing in possibly different metric spaces. The framework generalizes existing…