3 papers
math.ST2026
Global convergence analysis of mixtures of Exponential densities
Rajita Chandak, Kathryn Dullerud
The theoretical foundations of the EM algorithm are often thought of in the context of Gaussian mixture models, However, the practical use cases of the EM algorithm span beyond Gau…
stat.ML2026
Fast convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao, Rajita Chandak, Sanjeev Kulkarni
Data heterogeneity has been a long-standing bottleneck in studying the convergence rates of Federated Learning algorithms. In order to better understand the issue of data heterogen…
stat.CO2025
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
Matias D. Cattaneo, Rajita Chandak, Michael Jansson +1
This paper discusses the R package lpcde, which stands for local polynomial conditional density estimation. It implements the kernel-based local polynomial smoothing methods introd…