Bryan Kian Hsiang Low
5 papers in the PaperMetrix corpus
Papers by this author
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An Information-Theoretic Framework for Unifying Active Learning Problems
2021 · Proceedings of the AAAI Conference on Artificial Intelligence
This paper presents an information-theoretic framework for unifying active learning problems: level set estimation (LSE), Bayesian optimization (BO), and their generalized variant. We first introduce a novel active learning criterion that subsumes an existing LSE …
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An Information-Theoretic Framework for Unifying Active Learning Problems
2020 · arXiv (Cornell University)
This paper presents an information-theoretic framework for unifying active learning problems: level set estimation (LSE), Bayesian optimization (BO), and their generalized variant. We first introduce a novel active learning criterion that subsumes an existing LSE …
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On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
2022 · arXiv (Cornell University)
Measuring contributions is a classical problem in cooperative game theory where the Shapley value is the most well-known solution concept. In this paper, we establish the convergence property of the Shapley value in parametric Bayesian …
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Understanding Domain Generalization: A Noise Robustness Perspective
2024 · arXiv (Cornell University)
Despite the rapid development of machine learning algorithms for domain generalization (DG), there is no clear empirical evidence that the existing DG algorithms outperform the classic empirical risk minimization (ERM) across standard benchmarks. To better …
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TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
2025
Zhaoxuan Wu, Zijian Zhou, Arun Verma, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.