Kyle Ritscher — accepted AI-conference papers

2026

Change Point Localization and Inference in Dynamic Multilayer Networks

Fan Wang, Kyle Ritscher, Yik Lun Kei, Xin Ma, OSCAR HERNAN MADRID PADILLA

ICLR 2026poster

We study offline change point localization and inference in dynamic multilayer random dot product graphs (D-MRDPGs), where at each time point, a multilayer network is observed with shared node latent positions and time-varying, layer-specific connectivity patterns. We propose a novel two-stage algor…

Cited by 1 Source ↗Scholar ↗

2025

Quantile Additive Trend Filtering

Zhi Zhang, Kyle Ritscher, OSCAR HERNAN MADRID PADILLA

AISTATS 2025poster

This paper introduces and analyzes quantile additive trend filtering, a novel approach to model the conditional quantiles of the response variable given multivariate covariates. Under the assumption that the true model is additive, and that the components are functions whose $r$th order weak derivat…

Cited by 0 Source ↗code ↗Scholar ↗