Yaniv Yacoby

According to our database, Yaniv Yacoby authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

CoRR, 2024

2023

Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health.

Yaniv Yacoby, John Girash, David C. Parkes

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

2022

Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

J. Mach. Learn. Res., 2022

An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks.

Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez

CoRR, 2022

"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment.

Yaniv Yacoby, Ben Green, Christopher L. Griffin, Finale Doshi-Velez

Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

2020

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

CoRR, 2020

BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty.

Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan

CoRR, 2020

Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks.

Sujay Thakur, Cooper Lorsung, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan

CoRR, 2020

2019

Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

CoRR, 2019

Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders.

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019