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Conference contribution
2020

Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning

Prasad, N., Engelhardt, B. & Doshi-Velez, F., Feb 4 2020, ACM CHIL 2020 - Proceedings of the 2020 ACM Conference on Health, Inference, and Learning. Association for Computing Machinery, Inc, p. 1-9 9 p. (ACM CHIL 2020 - Proceedings of the 2020 ACM Conference on Health, Inference, and Learning).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
2016

Hierarchical compound poisson factorization

Basbug, M. E. & Engelhardt, B. E., Jan 1 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 2665-2674 10 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations
2006

A graphical model for predicting protein molecular function

Engelhardt Martin, B., Jordan, M. I. & Brenner, S. E., Oct 6 2006, ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning. p. 297-304 8 p. (ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning; vol. 2006).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

A graphical model for predicting protein molecular function

Engelhardt, B. E., Jordan, M. I. & Brenner, S. E., Dec 1 2006, ACM International Conference Proceeding Series - Proceedings of the 23rd International Conference on Machine Learning, ICML 2006. p. 297-304 8 p. (ACM International Conference Proceeding Series; vol. 148).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations