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Josh Gardner
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Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and Trends® in Machine Learning 14 (1–2), 1-210, 2021
20922021
Student Success Prediction in MOOCs
J Gardner, C Brooks
User Modeling and User-Adapted Interaction 28 (2), 127-203, 2018
1422018
Evaluating the fairness of predictive student models through slicing analysis
J Gardner, C Brooks, R Baker
Proceedings of the 9th international conference on learning analytics …, 2019
862019
Mariana Raykova, Dawn Song, Weikang Song, Sebastian U
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021
292021
Replicating MOOC predictive models at scale
J Gardner, C Brooks, JM Andres, R Baker
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 1-10, 2018
242018
Dropout model evaluation in MOOCs
J Gardner, C Brooks
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
222018
Coenrollment networks and their relationship to grades in undergraduate education
J Gardner, C Brooks
Proceedings of the 8th international conference on learning analytics and …, 2018
162018
Evaluating predictive models of student success: Closing the methodological gap
J Gardner, C Brooks
Journal of Learning Analytics 5 (2), 105-125, 2018
162018
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective.
J Gardner, Y Yang, RS Baker, C Brooks
International Educational Data Mining Society, 2019
142019
MORF: A framework for predictive modeling and replication at scale with privacy-restricted mooc data
J Gardner, C Brooks, JM Andres, RS Baker
2018 IEEE International Conference on Big Data (Big Data), 3235-3244, 2018
142018
Enabling End-To-End machine learning replicability: A case study in educational data mining
J Gardner, Y Yang, R Baker, C Brooks
arXiv preprint arXiv:1806.05208, 2018
102018
How gender cues in educational video impact participation and retention
C Brooks, J Gardner, K Chen
International Society of the Learning Sciences, Inc.[ISLS]., 2018
102018
Driving with data: Modeling and forecasting vehicle fleet maintenance in Detroit
J Gardner, D Koutra, J Mroueh, V Pang, A Farahi, S Krassenstein, J Webb
arXiv preprint arXiv:1710.06839, 2017
102017
A statistical framework for predictive model evaluation in MOOCs
J Gardner, C Brooks
Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 269-272, 2017
92017
Beyond A/B testing: sequential randomization for developing interventions in scaled digital learning environments
T NeCamp, J Gardner, C Brooks
Proceedings of the 9th International Conference on learning analytics …, 2019
82019
Learn from Your (Markov) Neighbour: Co-Enrollment, Assortativity, and Grade Prediction in Undergraduate Courses.
J Gardner, C Brooks, W Li
Journal of Learning Analytics 5 (3), 42-59, 2018
72018
Statistical Approaches to the Model Comparison Task in Learning Analytics
J Gardner, C Brooks
Workshop on Methodology in Learning Analytics (MLA) at 7th International …, 2017
72017
Mt3: Multi-task multitrack music transcription
J Gardner, I Simon, E Manilow, C Hawthorne, J Engel
arXiv preprint arXiv:2111.03017, 2021
42021
Driving with data in the motor city: Mining and modeling vehicle fleet maintenance data
J Gardner, J Mroueh, N Jenuwine, N Weaverdyck, S Krassenstein, ...
arXiv preprint arXiv:2002.10010, 2020
42020
Toward Replicable Predictive Model Evaluation in MOOCs
J Gardner, C Brooks
Workshop and Tutorials Chairs, 354, 2017
32017
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