regret
PulseAugur coverage of regret — every cluster mentioning regret across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New algorithm offers near-optimal regret for private online expert prediction
Researchers have developed a new differentially private algorithm for online prediction from experts. This algorithm achieves a regret bound of \tilde{O}(\sqrt{L^\star}), which is a significant improvement over existing…
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RegRet framework enhances region-level retrieval in Large Multimodal Models
Researchers have introduced RegRet, a new framework designed to improve region-level retrieval in Large Multimodal Models (LMMs). This approach focuses on enhancing the capture of detailed regional features within image…
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New minimax-quantile theory enhances privacy in statistical decision making
Researchers have developed a new minimax-quantile theory for interactive statistical decision making (ISDM) that addresses rare but significant failures, which traditional expectation-based criteria like minimax risk an…