Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning. - Scott Cheng-Hsin Yang; Patrick Shafto (CogSci, 2017)

Unifying recommendation and active learning for human-algorithm interactions. - Scott Cheng-Hsin Yang; Jake Alden Whritner; Olfa Nasraoui; Patrick Shafto (CogSci, 2017)

Optimal Cooperative Inference. - Scott Cheng-Hsin Yang; Yue Yu; Arash Givchi; Pei Wang; Wai Keen Vong; Patrick Shafto (AISTATS, 2018)

Bayesian Teaching of Image Categories. - Wai Keen Vong; Ravi B. Sojitra; Anderson Reyes; Scott Cheng-Hsin Yang; Patrick Shafto (CogSci, 2018)

Standing Wave Decomposition Gaussian Process. - Chi-Ken Lu; Scott Cheng-Hsin Yang; Patrick Shafto (CoRR, 2018)

Interpretable deep Gaussian processes. - Chi-Ken Lu; Scott Cheng-Hsin Yang; Xiaoran Hao; Patrick Shafto (CoRR, 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 with Moments. - Chi-Ken Lu; Scott Cheng-Hsin Yang; Xiaoran Hao; Patrick Shafto (AISTATS, 2020)

Replicating L2 learning in a Computational Model. - Libby Barak; Scott Cheng-Hsin Yang; Chirag Rank; Patrick Shafto (CogSci, 2020)

Inferring Knowledge from Behavior in Search-and-rescue Tasks. - Scott Cheng-Hsin Yang; Sean Anderson; Pei Wang; Chirag Rank; Tomas Folke; Patrick Shafto (CogSci, 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)

Abstraction, Validation, and Generalization for Explainable Artificial Intelligence. - Scott Cheng-Hsin Yang; Tomas Folke; 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)

Explainable AI for Natural Adversarial Images. - Tomas Folke; Zhaobin Li; Ravi B. Sojitra; Scott Cheng-Hsin Yang; Patrick Shafto (CoRR, 2021)

A Psychological Theory of Explainability. - Scott Cheng-Hsin Yang; Tomas Folke; Patrick Shafto (ICML, 2022)

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., 2023)

Structured Evaluation of Synthetic Tabular Data. - Scott Cheng-Hsin Yang; Baxter Eaves; Michael Schmidt; Ken Swanson; Patrick Shafto (CoRR, 2024)

The Inner Loop of Collective Human-Machine Intelligence. - Scott Cheng-Hsin Yang; Tomas Folke; Patrick Shafto (Top. Cogn. Sci., 2025)