Scott Cheng-Hsin Yang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Gaussian Process

Top Venues

Top. Cogn. Sci.

Publications

Scott Cheng-Hsin Yang, Baxter Eaves, Michael Schmidt, Ken Swanson, Patrick Shafto
Structured Evaluation of Synthetic Tabular Data. CoRR (2024)
Scott Cheng-Hsin Yang, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto
Human Variability and the Explore-Exploit Trade-Off in Recommendation. Cogn. Sci. 47 (4) (2023)
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
A Psychological Theory of Explainability. ICML (2022)
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
A psychological theory of explainability. CoRR (2022)
Scott Cheng-Hsin Yang, Sean Anderson, Pei Wang, Chirag Rank, Tomas Folke, Patrick Shafto
Inferring Knowledge from Behavior in Search-and-rescue Tasks. CogSci (2021)
Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. CoRR (2021)
Tomas Folke, Zhaobin Li, Ravi B. Sojitra, Scott Cheng-Hsin Yang, Patrick Shafto
Explainable AI for Natural Adversarial Images. CoRR (2021)
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence. CoRR (2021)
Tomas Folke, Scott Cheng-Hsin Yang, Sean Anderson, Patrick Shafto
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching. CoRR (2021)
Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto
Interpretable Deep Gaussian Processes with Moments. AISTATS (2020)
Libby Barak, Scott Cheng-Hsin Yang, Chirag Rank, Patrick Shafto
Replicating L2 learning in a Computational Model. CogSci (2020)
Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto
Interpretable deep Gaussian processes. CoRR (2019)
Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu, Patrick Shafto
A Unifying Computational Framework for Teaching and Active Learning. Top. Cogn. Sci. 11 (2) (2019)
Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto
Bayesian Teaching of Image Categories. CogSci (2018)
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
Optimal Cooperative Inference. AISTATS (2018)
Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto
Standing Wave Decomposition Gaussian Process. CoRR (2018)
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
Optimal Cooperative Inference. CoRR (2017)
Scott Cheng-Hsin Yang, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto
Unifying recommendation and active learning for human-algorithm interactions. CogSci (2017)
Scott Cheng-Hsin Yang, Patrick Shafto
Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning. CogSci (2017)