3 papers
math.PR2025
Scaling Limit of Dependent Random Walk
Jeonghwa Lee
Recently, a generalized Bernoulli process (GBP) was developed as a stationary binary sequence that can have long-range dependence. In this paper, we find the scaling limit of a ran…
cs.LG2025
Progressive Weight Loading: Accelerating Initial Inference and Gradually Boosting Performance on Resource-Constrained Environments
Hyunwoo Kim, Junha Lee, Mincheol Choi +2
Deep learning models have become increasingly large and complex, resulting in higher memory consumption and computational demands. Consequently, model loading times and initial inf…
stat.ME2025
Fractional binomial regression model for count data with excess zeros
Jeonghwa Lee, Chloe Breece
This paper proposes a new generalized linear model with the fractional binomial distribution. Zero-inflated Poisson/negative binomial distributions are used for count data with man…