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https://openreview.net/forum?id=DSDWHsQLgA Stabilizing black-box model selection with the inflated argmax | OpenReview Model selection is the process of choosing from a class of candidate models given data. For instance, methods such as the LASSO and sparse identification of... black box model with the stabilizing selection inflated https://deepai.org/publication/construction-and-elicitation-of-a-black-box-model-in-the-game-of-bridge Construction and Elicitation of a Black Box Model in the Game of Bridge | DeepAI May 4, 2020 - 05/04/20 - We address the problem of building a decision model for a specific bidding situation in the game of Bridge. We propose the followi... a black box https://www.sintef.no/en/publications/publication/0198cc58f582-c6f0e4a5-3ee5-4534-a1f1-be39b72b8c29/ System Identification of a MIMO Black-box Model Using Vector Fitting (VF) - SINTEF black box model https://www.capitalone.com/tech/publications/subplex-understanding-model-explanations/ Black box model explanations | Capital One SUBPLEX: understanding model explanations. A visual analytics system for exploring black-box model explanations at the subpopulation level. (IEEE) black box model explanations capital one https://openreview.net/forum?id=F9Kv96KcwM BELLA: Black-box model Explanations by Local Linear Approximations | OpenReview Understanding the decision-making process of black-box models has become not just a legal requirement, but also an additional way to assess their performance.... black box model bella explanations local linear https://openreview.net/forum?id=fWQhXdeuSG Pretrained Optimization Model for Zero-Shot Black Box Optimization | OpenReview Zero-shot optimization involves optimizing a target task that was not seen during training, aiming to provide the optimal solution without or with minimal... zero shot black box optimization model openreview