Yaniv Yacoby

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Dempster Shafer

Bayesian Inference

Instructional Systems

Top Venues

J. Mach. Learn. Res.

Publications

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders. CoRR (2024)
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)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks. CoRR (2020)
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 (2020)
Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty. CoRR (2020)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. CoRR (2020)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. CoRR (2019)
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. AABI (2019)