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Tag: input

  • Input Adaptive Bayesian Model Averaging

    Input Adaptive Bayesian Model Averaging arXiv:2510.22054v1 Announce Type: new Abstract: This paper studies prediction with multiple candidate models, where the goal is to combine their outputs. This task is especially challenging in heterogeneous settings, where different models may be better suited to different inputs. We propose input adaptive Bayesian Model Averaging (IA-BMA), a Bayesian method…

  • Weighted Average Gradients for Feature Attribution

    Weighted Average Gradients for Feature Attribution arXiv:2505.03201v1 Announce Type: new Abstract: In explainable AI, Integrated Gradients (IG) is a widely adopted technique for assessing the significance of feature attributes of the input on model outputs by evaluating contributions from a baseline input to the current input. The choice of the baseline input significantly influences the…

  • Ranking and Selection with Simultaneous Input Data Collection

    Ranking and Selection with Simultaneous Input Data Collection arXiv:2503.11773v1 Announce Type: new Abstract: In this paper, we propose a general and novel formulation of ranking and selection with the existence of streaming input data. The collection of multiple streams of such data may consume different types of resources, and hence can be conducted simultaneously. To…