Black box influence function
WebInfluence functions are a good alternative to deletion diagnostics, but only for models with a 2nd order diffentiable loss function with respect to its parameters, such as neural … WebAug 6, 2024 · In this paper, we use influence functions — a classic technique from robust statistics — to trace a model's prediction through the learning algorithm and back to its …
Black box influence function
Did you know?
WebUnderstanding Black-box Predictions via Influence Functions Pang Wei Koh & Perry Liang Presented by –Theo, Aditya, Patrick 1. ... •With influence function were able to tell that the 4 children in training were 30-40 times more influential and that the child indicator variable extremely WebAppendix: Understanding Black-box Predictions via Influence Functions Pang Wei Koh 1Percy Liang A. Deriving the influence function I up,params For completeness, we …
WebJan 1, 2024 · Consequently, the black-box function output in Step 6 includes uncertainty. Specifically, f ( x) = f ( x) + ɛ, where f ( x) is the output of the black-box system, and ɛ is a random variable that follows an unknown probability distribution with a mean of 0 and a variance of σ 2. WebUnderstanding Black-box Predictions via Influence Functions. International Conference on Machine Learning (ICML), 2024. In this paper, we use influence functions --- a classic technique from robust statistics --- to trace a model's prediction through the learning algorithm and back to its training data, thereby identifying training points most ...
WebAppendix: Understanding Black-box Predictions via Influence Functions Pang Wei Koh 1Percy Liang A. Deriving the influence function I up,params For completeness, we provide a standard derivation of the influence function I up,params in the context of loss minimiza-tion (M-estimation). This derivation is based on asymp- WebAug 22, 2024 · Understanding black-box predictions via influence functions. arXiv preprint arXiv:1703.04730 (2024). Google Scholar Digital Library; Josua Krause, Adam Perer, and Kenney Ng. 2016. Interacting with predictions: Visual inspection of black-box machine learning models. In Proceedings of the CHI Conference on Human Factors in Computing …
Web1. 1.Influence functions: definitions and theory 2.Efficiently calculating influence functions 3. Validations 4. Uses cases. Roadmap. 2. • Reviving an “old technique” from …
http://proceedings.mlr.press/v70/koh17a/koh17a-supp.pdf caravans caravan caravansWebMay 1, 2024 · Up, params influence where 𝐻𝜃 ≝ 1 𝑛 σ𝑖=1 𝑛 ∇ 𝜃 2 𝐿(𝑧, 𝜃) is the Hessian and is positive definite (PD) by assumption. In essence, we form a quadratic approximation to the empirical risk around 𝜃 and take a single Newton step; see appendix A for a derivation. caravans bristolWebJan 26, 2024 · The related techniques include influence function and LIME, which motivated our work. 3.1 Model Explanation Problem. Consider a black box decision … caravans bovagWebJan 26, 2024 · The related techniques include influence function and LIME, which motivated our work. 3.1 Model Explanation Problem. Consider a black box decision system that is supported by some machine learning models, a prediction can be assigned to a test point. The parameters of the models are trained from the training dataset. caravans bangorWebSep 12, 2024 · Influence functions efficiently estimate the effect of removing a single training data point on a model's learned parameters. While influence estimates align well with leave-one-out retraining for linear models, recent works have shown this alignment is often poor in neural networks. In this work, we investigate the specific factors that cause ... caravans cuijkWebUnderstanding Black-box Predictions via Influence Functions Background information. 这篇论文是ICML 2024 best paper。工作做得不错，写的也好，非常严谨。两个作者都是Stanford的。 ... 对比了influence function的估计和leave-one-out retraining的差距，结果表明用共轭梯度法和近似方法得到的估计 ... caravan scams ukWebApplying influence functions (and some Taylor-expansion approximations) we get: (1) I u p, p a r a m s ( z) = − H θ ^ − 1 ⋅ ∇ θ L ( z, θ ^) Where H θ ^ ∈ R p × p is the Hessian of … caravans boston