Tessa Han

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Function Approximation

Machine Learning

Temporal Difference Learning Algorithms

Top Venues

Trans. Mach. Learn. Res.

Publications

Satyapriya Krishna, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, Himabindu Lakkaraju
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. Trans. Mach. Learn. Res. 2024 (2024)
Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju
Towards Safe and Aligned Large Language Models for Medicine. CoRR (2024)
Tessa Han, Yasha Ektefaie, Maha Farhat, Marinka Zitnik, Himabindu Lakkaraju
Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust in Laypeople and Domain Experts. CoRR (2023)
Tessa Han, Suraj Srinivas, Himabindu Lakkaraju
Efficient Estimation of the Local Robustness of Machine Learning Models. CoRR (2023)
Tessa Han, Suraj Srinivas, Himabindu Lakkaraju
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations. CoRR (2022)
Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, Himabindu Lakkaraju
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. CoRR (2022)
Tessa Han, Suraj Srinivas, Himabindu Lakkaraju
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations. NeurIPS (2022)