Emily Fertig

4 papers · 2019–2022 · 3 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) ❓ The Questioner

Conferences

NIPS (2) AISTATS (1) ICLR (1)

Top co-authors

Joshua Dillon (2) Balaji Lakshminarayanan (2) Luca Ambrogioni (2) Dave Moore (2) Jie Ren (2) Jasper Snoek (2) Sebastian Nowozin (1) Zachary Nado (1) D. Sculley (1) Yaniv Ovadia (1)

Keywords

bayesian model (1) probabilistic programming (1) likelihood ratio (1) stochastic variational inference (1) generative model (1) out-of-distribution detection (1) genomic sequence (1) ood detection (1) structured variational family (1)

Papers

Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling ICLR 2022

Automatic structured variational inference AISTATS 2021

Likelihood Ratios for Out-of-Distribution Detection NIPS 2019

Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift NIPS 2019