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Yunwen Lei

9 papers at tracked venues · 7 at CORE A* · active 2024–2025

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Venues

AAAI ×3NeurIPS ×2ECML-PKDD ×1ICLR ×1ICML ×1UAI ×1

Frequent coauthors

Sijia Zhou
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Nong Minh Hieu
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Antoine Ledent
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Bokun Wang
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Yuanfan Li
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Shuang Zeng
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Liang Wu
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Jintao Song
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Papers

  1. Generalization Analysis for Deep Contrastive Representation Learning
    AAAI 2025 ·
    Nong Minh Hieu
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  2. Generalization Bounds for Rank-sparse Neural Networks
    NeurIPS 2025 ·
    Antoine Ledent
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  3. Learning to Sample in Stochastic Optimization
    UAI 2025 ·
    Sijia Zhou
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  4. On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
    ICLR 2025 ·
    Bokun Wang
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  5. Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
    NeurIPS 2025 ·
    Yuanfan Li
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  6. Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness
    ICML 2025 ·
    Shuang Zeng
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  7. Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
    AAAI 2025 ·
    Liang Wu
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  8. Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
    AAAI 2024 ·
    Jintao Song
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  9. Self-certified Tuple-Wise Deep Learning
    ECML-PKDD 2024 ·
    Sijia Zhou
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