Yaniv Yacoby - RankMe

18 papers A 1B 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Teaching Probabilistic Machine Learning in the Liberal Arts: Empowering Socially SIGCSE (1) Yaniv Yacoby
2025	J	`jnl`	Improving Forecasts of Suicide Attempts for Patients with Little Data. CoRR Genesis Hang, Annie Chen, Hope Neveux, Matthew K. Nock, Yaniv Yacoby
2025	J	`jnl`	Neural Stochastic Differential Equations on Compact State-Spaces. CoRR Yue-Jane Liu, Malinda Lu, Matthew K. Nock, Yaniv Yacoby
2025	J	`jnl`	Teaching Probabilistic Machine Learning in the Liberal Arts: Empowering Socially and Mathematically Informed AI Discourse. CoRR Yaniv Yacoby
2025	A	`conf`	Transparent Trade-offs between Properties of Explanations. UAI Hiwot Belay Tadesse, Alihan Hüyük, Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2024	J	`jnl`	Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders. CoRR Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2023	—	`conf`	Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health. SIGCSE (1) Yaniv Yacoby, John Girash, David C. Parkes
2022	B	`conf`	"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment. HCOMP Yaniv Yacoby, Ben Green, Christopher L. Griffin, Finale Doshi-Velez
2022	J	`jnl`	"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment. CoRR Yaniv Yacoby, Ben Green, Christopher L. Griffin, Finale Doshi-Velez
2022	J	`jnl`	An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks. CoRR Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez
2022	J	`jnl`	Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health. CoRR Yaniv Yacoby, John Girash, David C. Parkes
2022	J	`jnl`	Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables. J. Mach. Learn. Res. Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2020	J	`jnl`	BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty. CoRR Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan
2020	J	`jnl`	Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. CoRR Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2020	J	`jnl`	Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks. CoRR Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2020	J	`jnl`	Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks. CoRR Sujay Thakur, Cooper Lorsung, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan
2019	—	`conf`	Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. AABI Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2019	J	`jnl`	Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. CoRR Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz