Giri Gopalan

According to our database, Giri Gopalan authored at least 4 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Sequential Monte Carlo for cut-Bayesian posterior computation.

Joseph Mathews, Giri Gopalan, James Gattiker, Sean Smith, Devin Francom

Comput. Stat., June, 2025

Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks.

Rachel Longjohn, Giri Gopalan, Emily M. Casleton

CoRR, January, 2025

2024

Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet.

Myungsoo Yoo, Giri Gopalan, Matthew J. Hoffman, Sophie Coulson, Holly Kyeore Han, Christopher K. Wikle, Trevor Hillebrand

CoRR, 2024

2015

Quantifying the Information of the Prior and Likelihood in Parametric Bayesian Modeling.

Giri Gopalan

CoRR, 2015