Scott Cheng-Hsin Yang

According to our database, Scott Cheng-Hsin Yang authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

Structured Evaluation of Synthetic Tabular Data.

Scott Cheng-Hsin Yang, Baxter Eaves, Michael Schmidt, Ken Swanson, Patrick Shafto

CoRR, 2024

2023

Human Variability and the Explore-Exploit Trade-Off in Recommendation.

Scott Cheng-Hsin Yang, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto

Cogn. Sci., April, 2023

2022

A Psychological Theory of Explainability.

Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto

Proceedings of the International Conference on Machine Learning, 2022

2021

Explainable AI for Natural Adversarial Images.

Tomas Folke, Zhaobin Li, Ravi B. Sojitra, Scott Cheng-Hsin Yang, Patrick Shafto

CoRR, 2021

Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching.

Tomas Folke, Scott Cheng-Hsin Yang, Sean Anderson, Patrick Shafto

CoRR, 2021

Abstraction, Validation, and Generalization for Explainable Artificial Intelligence.

Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto

CoRR, 2021

Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching.

Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto

CoRR, 2021

Inferring Knowledge from Behavior in Search-and-rescue Tasks.

Scott Cheng-Hsin Yang, Sean Anderson, Pei Wang, Chirag Rank, Tomas Folke, Patrick Shafto

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Replicating L2 learning in a Computational Model.

Libby Barak, Scott Cheng-Hsin Yang, Chirag Rank, Patrick Shafto

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Interpretable Deep Gaussian Processes with Moments.

Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A Unifying Computational Framework for Teaching and Active Learning.

Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu, Patrick Shafto

Top. Cogn. Sci., 2019

Interpretable deep Gaussian processes.

Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto

CoRR, 2019

2018

Standing Wave Decomposition Gaussian Process.

Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto

CoRR, 2018

Bayesian Teaching of Image Categories.

Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Optimal Cooperative Inference.

Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Unifying recommendation and active learning for human-algorithm interactions.

Scott Cheng-Hsin Yang, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning.

Scott Cheng-Hsin Yang, Patrick Shafto

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017