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  1. Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

    Published in JMLR (2026)
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  2. Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity

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  3. Fair Text Classification via Transferable Representations

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  4. Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications

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  5. Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration

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  6. Generalized multi-view model: Adaptive density estimation under low-rank constraints

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  7. (De)-regularized Maximum Mean Discrepancy Gradient Flow

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  8. On Probabilistic Embeddings in Optimal Dimension Reduction

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  9. Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN

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  10. Graph-accelerated Markov Chain Monte Carlo using Approximate Samples

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  11. Online Quantile Regression

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  12. Statistical Inference of Random Graphs With a Surrogate Likelihood Function

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  13. On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference

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  14. An Augmentation Overlap Theory of Contrastive Learning

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  15. Algorithms for ridge estimation with convergence guarantees

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  16. Talent: A Tabular Analytics and Learning Toolbox

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  17. Inferring Change Points in High-Dimensional Regression via Approximate Message Passing

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  18. Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime

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  19. Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound

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  20. On the Natural Gradient of the Evidence Lower Bound

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