David S. Matteson

3 papers · 2020–2022 · 3 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (6) 🐣 Hot Topic Early Bird

Conferences

ICLR (1) JMLR (1) UAI (1)

Top co-authors

Jacob Bien (1) Binh Tang (1) Ines Wilms (1) Grace Deng (1) William B. Nicholson (1)

Keywords

bayesian inference (1) graph theory (1) uncertainty quantification (1) group lasso (1) time series (1) time series forecasting (1) sparse optimization (1) dynamic network (1) spillover effect (1) lag selection (1) regularized estimation (1) vector autoregression (1) multivariate forecasting (1)

Papers

Bayesian spillover graphs for dynamic networks UAI 2022

Graph-Based Continual Learning ICLR 2021

High Dimensional Forecasting via Interpretable Vector Autoregression JMLR 2020