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ORCIDYaniv Yacoby
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Journal Articles
- 2022
[j1]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables. J. Mach. Learn. Res. 23: 244:1-244:54 (2022)
Conference and Workshop Papers
- 2023
- [c3]Yaniv Yacoby
, John Girash, David C. Parkes:
Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health. SIGCSE (1) 2023: 694-700 - 2022
- [c2]Yaniv Yacoby, Ben Green, Christopher L. Griffin, Finale Doshi-Velez:
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment. HCOMP 2022: 219-230 - 2019
- [c1]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. AABI 2019: 1-17
Informal and Other Publications
- 2024
- [i9]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders. CoRR abs/2403.08941 (2024) - 2022
- [i8]Yaniv Yacoby, Ben Green, Christopher L. Griffin, Finale Doshi-Velez:
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment. CoRR abs/2205.05424 (2022) - [i7]Yaniv Yacoby, John Girash, David C. Parkes:
Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health. CoRR abs/2208.12650 (2022) - [i6]Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez:
An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks. CoRR abs/2211.09184 (2022) - 2020
- [i5]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. CoRR abs/2003.07756 (2020) - [i4]Sujay Thakur, Cooper Lorsung, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan:
Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks. CoRR abs/2006.11695 (2020) - [i3]Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan:
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty. CoRR abs/2007.06096 (2020) - [i2]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks. CoRR abs/2007.07124 (2020) - 2019
- [i1]Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. CoRR abs/1911.00569 (2019)
Coauthor Index
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