Scott Cheng-Hsin Yang

20 papers A* 1A 2B 5Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
The Inner Loop of Collective Human-Machine Intelligence.
Top. Cogn. Sci.
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
2024 J jnl
Structured Evaluation of Synthetic Tabular Data.
CoRR
Scott Cheng-Hsin Yang, Baxter Eaves, Michael D. Schmidt, Ken Swanson, Patrick Shafto
2023 J jnl
Human Variability and the Explore-Exploit Trade-Off in Recommendation.
Cogn. Sci.
Scott Cheng-Hsin Yang, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto
2022 A* conf
A Psychological Theory of Explainability.
ICML
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
2022 J jnl
A psychological theory of explainability.
CoRR
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
2021 J jnl
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence.
CoRR
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
2021 J jnl
Explainable AI for Natural Adversarial Images.
CoRR
Tomas Folke, ZhaoBin Li, Ravi B. Sojitra, Scott Cheng-Hsin Yang, Patrick Shafto
2021 J jnl
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching.
CoRR
Tomas Folke, Scott Cheng-Hsin Yang, Sean Anderson, Patrick Shafto
2021 B conf
Inferring Knowledge from Behavior in Search-and-rescue Tasks.
CogSci
Scott Cheng-Hsin Yang, Sean Anderson, Pei Wang, Chirag Rank, Tomas Folke, Patrick Shafto
2021 J jnl
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching.
CoRR
Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto
2020 A conf
Interpretable Deep Gaussian Processes with Moments.
AISTATS
Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto
2020 B conf
Replicating L2 learning in a Computational Model.
CogSci
Libby Barak, Scott Cheng-Hsin Yang, Chirag Rank, Patrick Shafto
2019 J jnl
A Unifying Computational Framework for Teaching and Active Learning.
Top. Cogn. Sci.
Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu, Patrick Shafto
2019 J jnl
Interpretable deep Gaussian processes.
CoRR
Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto
2018 B conf
Bayesian Teaching of Image Categories.
CogSci
Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto
2018 A conf
Optimal Cooperative Inference.
AISTATS
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
2018 J jnl
Standing Wave Decomposition Gaussian Process.
CoRR
Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto
2017 J jnl
Optimal Cooperative Inference.
CoRR
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
2017 B conf
Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning.
CogSci
Scott Cheng-Hsin Yang, Patrick Shafto
2017 B conf
Unifying recommendation and active learning for human-algorithm interactions.
CogSci
Scott Cheng-Hsin Yang, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto