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Copy file name to clipboardExpand all lines: research.html
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We study the role of loss landscape curvature in generalization and develop flatness-oriented optimization strategies with both theoretical advantages and scalability for modern deep neural networks.
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<spanclass="fold-item-title">Zeroth-Order Optimization for Black-Box Model Training</span>
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<spanclass="fold-item-title">Zeroth-Order Optimization for Black-Box Model Training<spanclass="paper-tag">(<ahref="https://arxiv.org/abs/2504.06838" target="_blank">ICLR 2025</a>)</span></span>
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We develop methods that operate without direct gradient access, motivated by settings such as proprietary model APIs and decentralized learning systems where gradients are unavailable.
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