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stat.ML2023★ 1 cited
Direct Amortized Likelihood Ratio Estimation
Adam D. Cobb, Brian Matejek, Daniel Elenius +2
We introduce a new amortized likelihood ratio estimator for likelihood-free simulation-based inference (SBI). Our estimator is simple to train and estimates the likelihood ratio us…
stat.ML2022★ 3 cited
Multiple Testing Framework for Out-of-Distribution Detection
Akshayaa Magesh, Venugopal V. Veeravalli, Anirban Roy +1
We study the problem of Out-of-Distribution (OOD) detection, that is, detecting whether a learning algorithm's output can be trusted at inference time. While a number of tests for…