| Fair bayesian optimization V Perrone, M Donini, MB Zafar, R Schmucker, K Kenthapadi, ... AAAI/ACM Conference on AI, Ethics, and Society (AIES '21), 2020 | 92 | 2020 |
| A universal test for gravitational decoherence C Pfister, J Kaniewski, M Tomamichel, A Mantri, R Schmucker, ... Nature communications 7 (1), 1-8, 2016 | 52 | 2016 |
| Towards a robust interactive and learning social robot M de Jong, K Zhang, AM Roth, T Rhodes, R Schmucker, C Zhou, ... Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 48 | 2018 |
| Multi-Objective Multi-Fidelity Hyperparameter Optimization with Application to Fairness R Schmucker, M Donini, V Perrone, MB Zafar, C Archambeau NeurIPS Workshop on Meta-Learning, 2020 | 29 | 2020 |
| Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games G Farina, R Schmucker, T Sandholm AAAI Conference on Artificial Intelligence, 2021 | 26 | 2021 |
| Multi-objective Asynchronous Successive Halving R Schmucker, M Donini, MB Zafar, D Salinas, C Archambeau arXiv preprint arXiv:2106.12639, 2021 | 25 | 2021 |
| Assessing the Performance of Online Students - New Data, New Approaches, Improved Accuracy R Schmucker, J Wang, S Hu, TM Mitchell Journal of Educational Data Mining 14 (1), 1-45, 2022 | 23* | 2022 |
| Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems R Schmucker, M Xia, A Azaria, T Mitchell NeurIPS Workshop on Generative AI for Education, 2023 | 22 | 2023 |
| KC-Finder: Automated Knowledge Component Discovery for Programming Problems. Y Shi, R Schmucker, M Chi, T Barnes, T Price International Educational Data Mining Society, 2023 | 21 | 2023 |
| Combination treatment optimization using a pan-cancer pathway model R Schmucker, G Farina, J Faeder, F Froehlich, AS Saglam, T Sandholm PLOS Computational Biology, 2021 | 13 | 2021 |
| Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System R Schmucker, M Xia, A Azaria, T Mitchell International Conference on Artificial Intelligence in Education, 75-90, 2024 | 10 | 2024 |
| Transferable Student Performance Modeling for Intelligent Tutoring Systems R Schmucker, TM Mitchell Proceedings of the 30th International Conference on Computers in Education …, 2022 | 8 | 2022 |
| Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions S Moore, R Schmucker, T Mitchell, J Stamper Proceedings of the Eleventh ACM Conference on Learning@ Scale, 122-133, 2024 | 5 | 2024 |
| Understanding nature from experimental observations: a theory independent test for gravitational decoherence C Pfister, J Kaniewski, M Tomamichel, A Mantri, R Schmucker, ... arXiv preprint arXiv:1503.00577, 2015 | 4 | 2015 |
| NEOLAF, an LLM-powered neural-symbolic cognitive architecture RJ Tong, CC Cao, TX Lee, G Zhao, R Wan, F Wang, X Hu, R Schmucker, ... arXiv preprint arXiv:2308.03990, 2023 | 3 | 2023 |
| Ruffle&Riley: From Lesson Text to Conversational Tutoring R Schmucker, M Xia, A Azaria, T Mitchell Proceedings of the Eleventh ACM Conference on Learning@ Scale, 547-549, 2024 | 2 | 2024 |
| Learning to Compare Hints: Combining Insights from Student Logs and Large Language Models T Zhang, HA Kumar, R Schmucker, A Azaria, T Mitchell AI for Education: Bridging Innovation and Responsibility at the 38th AAAI …, 2024 | 2 | 2024 |
| Gaining Insights into Course Difficulty Variations Using Item Response Theory F Baucks*, R Schmucker*, L Wiskott Proceedings of the 14th Learning Analytics and Knowledge Conference, 450–461, 2024 | 2 | 2024 |
| Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements R Schmucker, N Pachapurkar, S Bala, M Shah, T Mitchell European Conference on Technology Enhanced Learning, 383-398, 2023 | 2 | 2023 |
| Tracing Changes in University Course Difficulty Using Item Response Theory F Baucks*, R Schmucker*, L Wiskott AAAI Workshop on AI for Education, 2023 | 2 | 2023 |
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu