Publications
Rachel Longjohn, Shang Wu, Saatvik Kher, Catarina Belém, Padhraic Smyth. Bayesian Evaluation of Large Language Model Behavior. NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle.
Jennifer Wyatt Bourgeois, Anna Haensch, Saatvik Kher, Dean Knox, Gregory Lanzalotto, Tian An Wong. How to Use Causal Inference to Study Use of Force. CHANCE, 37(4), 6–10.
Kammarauche Aneni, Ching-Hua Chen, Gaoqianxue Liu, Saatvik Kher, Lynn Fiellin. A Machine Learning Model for Predicting Unhealthy Substance Use Among Adolescents. Machine Learning for Healthcare Conference Abstract, NY, August 2023.
Kammarauche Aneni, Ching-Hua Chen, Jenny Meyer, Youngsun T. Cho, Zachary Chase Lipton, Saatvik Kher, Megan G. Jiao, Isabella Gomati de la Vega, Feza Umutoni, Robert A. McDougal, Lynn E. Fiellin. Identifying Game-Based Digital Biomarkers of Cognitive Risk for Adolescent Substance Misuse: Protocol for a Proof-of-Concept Study. JMIR Res Protoc. 11/2023.
MANUSCRIPTS (IN PREPARATION)
Saatvik Kher*, Hyungrok Do, Judy Zhong, Padhraic Smyth. Bayesian Online Selection of Fair Classifiers. (under review).
Divij Jain, Saatvik Kher*, Lena Liang, Yufeng Wu, Ashley Zheng, Xizhen Cai, Anna Plantinga, Elizabeth Upton. Improving and Evaluating Machine Learning Methods for Forensic Shoeprint Matching. (under review). Repository
Saatvik Kher*, Amber Lee, Johanna Hardin. Measuring the Impact of Missingness on Racial Bias in Traffic Stop Data. (under review). Repository
