| Evaluating reinforcement learning algorithms in observational health settings O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018 | 79 | 2018 |
| Normal/abnormal heart sound recordings classification using convolutional neural network T Nilanon, J Yao, J Hao, S Purushotham, Y Liu 2016 computing in cardiology conference (CinC), 585-588, 2016 | 78 | 2016 |
| Quality of uncertainty quantification for Bayesian neural network inference J Yao, W Pan, S Ghosh, F Doshi-Velez arXiv preprint arXiv:1906.09686, 2019 | 59 | 2019 |
| Structured variational learning of Bayesian neural networks with horseshoe priors S Ghosh, J Yao, F Doshi-Velez International Conference on Machine Learning, 1744-1753, 2018 | 48 | 2018 |
| Model Selection in Bayesian Neural Networks via Horseshoe Priors. S Ghosh, J Yao, F Doshi-Velez J. Mach. Learn. Res. 20 (182), 1-46, 2019 | 40 | 2019 |
| Output-constrained Bayesian neural networks W Yang, L Lorch, MA Graule, S Srinivasan, A Suresh, J Yao, MF Pradier, ... arXiv preprint arXiv:1905.06287, 2019 | 16 | 2019 |
| Direct policy transfer via hidden parameter markov decision processes J Yao, T Killian, G Konidaris, F Doshi-Velez LLARLA Workshop, FAIM 2018, 2018 | 15 | 2018 |
| Latent projection bnns: Avoiding weight-space pathologies by learning latent representations of neural network weights MF Pradier, W Pan, J Yao, S Ghosh, F Doshi-Velez Workshop on Bayesian Deep Learning, NIPS, 2018 | 10 | 2018 |
| Power Constrained Bandits J Yao, E Brunskill, W Pan, S Murphy, F Doshi-Velez Machine Learning for Healthcare Conference, 209-259, 2021 | 8 | 2021 |
| Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights MF Pradier, W Pan, J Yao, S Ghosh, F Doshi-Velez arXiv preprint arXiv:1811.07006, 2018 | 6 | 2018 |
| L. wei H O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... Lehman, M. Komorowski, M. Komorowski, A. Faisal, LA Celi, D. Sontag, and F …, 2018 | 6 | 2018 |
| Li wei H. Lehman, Matthieu Komorowski, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, and Finale Doshi-Velez. Evaluating reinforcement learning algorithms in … O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018 | 3 | 2018 |
| Projected Bayesian Neural Networks: Avoiding weight-space pathologies by learning latent representations of neural network weights MF Pradier, W Pan, J Yao, S Ghosh, F Doshi-Velez | | |
| Amortised Variational Inference for Hierarchical Mixture Models J Antorán, J Yao, W Pan, JM Hernández-Lobato, F Doshi-Velez | | |
| Projected BNNs: Avoiding weight-space pathologies by projecting neural network weights MF Pradier, W Pan, J Yao, S Ghosh, F Doshi-Velez | | |
