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Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach

Published in Journal of Machine Learning Research (JMLR), 2024

We study the problem of learning dynamic mechanisms in unknown environments through a reinforcement learning approach, and establish provable guarantees.

Shuang Qiu*, Boxiang Lyu*, Qinglin Meng*, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
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Representation Preserving Multiclass Agnostic to Realizable Reduction

Published in International Conference on Machine Learning (ICML 2025), 2025

We study multiclass agnostic to realizable reductions that preserve representation.

Steve Hanneke, Qinglin Meng, Amirreza Shaeiri (alphabetical order)
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An Optimal Sauer Lemma Over ℓ-ary Alphabets

Published in arXiv preprint arXiv:2604.12952, 2026

We prove an optimal generalization of the Sauer-Shelah lemma to the multiclass setting over ℓ-ary alphabets.

Steve Hanneke, Qinglin Meng, Shay Moran, Amirreza Shaeiri (alphabetical order)
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Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures

Published in Annual Meeting of the Association for Computational Linguistics (ACL 2026 Main Conference), 2026

A systematic survey on intrinsic interpretability for LLMs, categorizing approaches into five design paradigms built directly into model architectures.

Yutong Gao*, Qinglin Meng*, Yuan Zhou, Liangming Pan
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