| Cruds: Counterfactual recourse using disentangled subspaces M Downs, JL Chu, Y Yacoby, F Doshi-Velez, W Pan ICML WHI 2020, 1-23, 2020 | 48 | 2020 |
| Failure modes of variational autoencoders and their effects on downstream tasks Y Yacoby, W Pan, F Doshi-Velez arXiv preprint arXiv:2007.07124, 2020 | 19 | 2020 |
| “If it didn’t happen, why would I change my decision?”: How Judges Respond to Counterfactual Explanations for the Public Safety Assessment Y Yacoby, B Green, CL Griffin Jr, F Doshi-Velez Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 10 …, 2022 | 14 | 2022 |
| Bacoun: Bayesian classifers with out-of-distribution uncertainty T Guénais, D Vamvourellis, Y Yacoby, F Doshi-Velez, W Pan arXiv preprint arXiv:2007.06096, 2020 | 13 | 2020 |
| Uncertainty-aware (una) bases for deep bayesian regression using multi-headed auxiliary networks S Thakur, C Lorsung, Y Yacoby, F Doshi-Velez, W Pan arXiv preprint arXiv:2006.11695, 2020 | 9 | 2020 |
| Characterizing and avoiding problematic global optima of variational autoencoders Y Yacoby, W Pan, F Doshi-Velez Symposium on Advances in Approximate Bayesian Inference, 1-17, 2020 | 5 | 2020 |
| Idiographic Prediction of Suicidal Thoughts: Building Personalized Machine Learning Models with Real-Time Monitoring Data S Wang, Y Yacoby, W Pan, K Bentley, S Bird, R Buonopane, A Christie, ... PsyArXiv, 2023 | 4 | 2023 |
| Mitigating the effects of non-identifiability on inference for Bayesian neural networks with latent variables Y Yacoby, W Pan, F Doshi-Velez Journal of Machine Learning Research 23 (244), 1-54, 2022 | 3* | 2022 |
| The application of machine learning methods to evaluate predictors of live birth in programmed thaw cycles D Vaughan, W Pan, Y Yacoby, EA Seidler, AQ Leung, F Doshi-Velez, ... Fertility and Sterility 112 (3), e273, 2019 | 3 | 2019 |
| An empirical analysis of the advantages of finite-vs infinite-width bayesian neural networks J Yao, Y Yacoby, B Coker, W Pan, F Doshi-Velez arXiv preprint arXiv:2211.09184, 2022 | 2 | 2022 |
| Empowering First-Year Computer Science Ph. D. Students to Create a Culture that Values Community and Mental Health Y Yacoby, J Girash, DC Parkes Proceedings of the 54th ACM Technical Symposium on Computer Science …, 2023 | 1 | 2023 |
| Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Y Yacoby, W Pan, F Doshi-Velez arXiv preprint arXiv:2403.08941, 2024 | | 2024 |
| But What Did You Actually Learn? Improving Inference for Non-Identifiable Deep Latent Variable Models Y Yacoby Harvard University, 2023 | | 2023 |
