Weiwei Liu

Venues

Frequent coauthors

Papers

1. On the Robustness of Bandit Multiple Testing
   AAAI 2026 ·

   Zhengyu Zhou

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2. Rademacher Complexity for Distributionally Robust Learning
   AAAI 2026 ·

   Zhengyu Zhou

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3. A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
   ICML 2025 ·

   Xinsong Ma

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4. An Error Analysis of Flow Matching for Deep Generative Modeling
   ICML 2025 ·

   Zhengyu Zhou

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5. An Online Statistical Framework for Out-of-Distribution Detection
   ICML 2025 ·

   Xinsong Ma

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6. Nonconvex Theory of M-estimators with Decomposable Regularizers
   ICML 2025 · Weiwei Liu
7. On the SAC-BL Algorithm for Anomaly Detection
   NeurIPS 2025 ·

   Xinsong Ma

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8. Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks
   ICML 2025 ·

   Boqi Li

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9. A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
   NeurIPS 2024 ·

   Xin Zou

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10. A Provable Decision Rule for Out-of-Distribution Detection
    ICML 2024 ·

    Xinsong Ma

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11. A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks
    ICML 2024 ·

    Boqi Li

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12. Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
    AAAI 2024 ·

    Xin Zou

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13. DRF: Improving Certified Robustness via Distributional Robustness Framework
    AAAI 2024 ·

    Zekai Wang

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14. Sequential Kernel Goodness-of-fit Testing
    ICML 2024 ·

    Zhengyu Zhou

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15. Zero-shot Learning for Preclinical Drug Screening
    IJCAI 2024 ·

    Kun Li

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