J. Antoran, Yao J, Pan W, Doshi-Velez F, Hernandez-Lobato J.
Amortised Variational Inference for Hierarchical Mixture Models. ICML Workshop on Uncertainty in Deep Learning. 2020 :1-11.
Paper Yacoby Y, Pan W, Doshi-Velez F.
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. Advances in Approximate Bayesian Inference. 2020;1 :1-17.
Paper Prasad N, Engelhardt B, Doshi-Velez F.
Defining Admissible Rewards for High-Confidence Policy Evaluation in Batch Reinforcement Learning. ACM Conference on Health, Inference and Learning. 2020;2 :1-9.
Paper McMahon A, Cooper W, Brown J, Carleton B, Doshi-Velez F, Kohane I, Goldman J, Hoffman M, Kamaleswaran R, Sakiyama M, et al. Big Data in the Assessment of Pediatric Medication Safety. Pediatrics. 2020;145 (2) :1-11.
Paper Doshi-Velez F, Perlis R.
Evaluating Machine Learning Articles. JAMA. 2020;322 (18) :1777-1779.
Paper Pradier M, McCoy T, Hughes M, Perlis R, Doshi-Velez F.
Predicting treatment dropout after antidepressant initiation. Translational Psychiatry. 2020;10 (1) :1-8.
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