Jessica Hwang

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 4

Top Topics

Gradient Estimation

Knowledge Acquisition

Top Venues

Publications

Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey
Gradient Estimation with Discrete Stein Operators. CoRR (2022)
Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey
Gradient Estimation with Discrete Stein Operators. NeurIPS (2022)
Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. KDD (2019)
Jessica Hwang, Paulo Orenstein, Karl Pfeiffer, Judah Cohen, Lester Mackey
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. CoRR (2018)
Andrew Gelman, Jessica Hwang, Aki Vehtari
Understanding predictive information criteria for Bayesian models. Stat. Comput. 24 (6) (2014)