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  1. On the Approximation of Kernel functions

    Published in JMLR (2026)
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  2. Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response

    Published in JMLR (2026)
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  3. Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

    Published in JMLR (2026)
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  4. Optimizing Data Collection for Machine Learning

    Published in JMLR (2026)
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  5. Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective

    Published in JMLR (2026)
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  6. Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding

    Published in JMLR (2026)
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  7. Rank-one Convexification for Sparse Regression

    Published in JMLR (2026)
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  8. gsplat: An Open-Source Library for Gaussian Splatting

    Published in JMLR (2026)
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  9. Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming

    Published in JMLR (2026)
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  10. Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds

    Published in JMLR (2026)
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  11. Accelerating optimization over the space of probability measures

    Published in JMLR (2026)
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  12. Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

    Published in JMLR (2026)
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  13. Honey, I Shrunk the Hypothesis Space (Through Logical Preprocessing)

    Published in JAIR (2026)
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  14. A model for music emotion recognition and aesthetic education effect evaluation based on deep learning and multimodal data

    Published in Discover AI (2026)
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  15. Research on fashion brand narrative generation and personalized communication strategy based on knowledge graph and LLM

    Published in Discover AI (2026)
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  16. Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power

    Published in JMLR (2026)
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  17. Research on cross-border enterprise knowledge sharing mechanism based on federated graph neural network and differential privacy collaboration

    Published in Discover AI (2026)
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  18. Hybrid deep learning metaheuristic ensemble framework for enhanced COVID-19 classification using ResNet and particle swarm optimization

    Published in Discover AI (2026)
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  19. Integrating gene expression and proteomics for breast cancer biomarker prediction through a deep learning framework with SHAP-based explainability

    Published in Discover AI (2026)
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  20. Application of multimodal machine learning in building ecological assessment

    Published in Discover AI (2026)
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