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Found 6 papers, 0 papers with code
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem
In this study, we delve into the Thresholding Linear Bandit (TLB) problem, a nuanced domain within stochastic Multi-Armed Bandit (MAB) problems, focusing on maximizing decision accuracy against a linearly defined threshold under resource constraints.
Text-centric Alignment for Multi-Modality Learning
This research paper addresses the challenge of modality mismatch in multimodal learning, where the modalities available during inference differ from those available at training.
lil'HDoC: An Algorithm for Good Arm Identification under Small Threshold Gap
We demonstrate that the sample complexity of the first $\lambda$ output arm in lil'HDoC is bounded by the original HDoC algorithm, except for one negligible term, when the distance between the expected reward and threshold is small.
PSGText: Stroke-Guided Scene Text Editing with PSP Module
Initially, we introduce a text-swapping network that seamlessly substitutes the original text with the desired replacement.
Towards Optimizing with Large Language Models
In this work, we conduct an assessment of the optimization capabilities of LLMs across various tasks and data sizes.
Differential Good Arm Identification
This paper targets a variant of the stochastic multi-armed bandit problem called good arm identification (GAI).
