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06/07/2023
Don't trust your eyes: on the (un)reliability of feature visualizations
How do neural networks extract patterns from pixels? Feature visualizati...
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12/22/2022
Impossibility Theorems for Feature Attribution
Despite a sea of interpretability methods that can produce plausible exp...
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10/17/2022
On the Tightness of the Laplace Approximation for Statistical Inference
Laplace's method is used to approximate intractable integrals in a wide ...
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02/16/2022
Fitting Generalized Linear Mixed Models using Adaptive Quadrature
We describe how to approximate the intractable marginal likelihood that ...
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02/10/2022
Adaptively Exploiting d-Separators with Causal Bandits
Multi-armed bandit problems provide a framework to identify the optimal ...
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09/21/2021
Minimax Rates for Conditional Density Estimation via Empirical Entropy
We consider the task of estimating a conditional density using i.i.d. sa...
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02/12/2021
Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference
We provide the first stochastic convergence rates for adaptive Gauss–Her...
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07/13/2020
Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice
We consider sequential prediction with expert advice when the data are g...
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07/02/2020
