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    Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test

    Published in JMLR (2026)
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    On Inference for the Support Vector Machine

    Published in JMLR (2026)
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    Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis

    Published in JMLR (2026)
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    Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability

    Published in JMLR (2026)
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    Implicit vs Unfolded Graph Neural Networks

    Published in JMLR (2026)
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    Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification

    Published in JMLR (2026)
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    GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia

    Published in JMLR (2026)
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    Dynamic angular synchronization under smoothness constraints

    Published in JMLR (2026)
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    Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems

    Published in JMLR (2026)
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    Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds

    Published in JMLR (2026)
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    Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis

    Published in JMLR (2026)
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    Learning causal graphs via nonlinear sufficient dimension reduction

    Published in JMLR (2026)
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    On Consistent Bayesian Inference from Synthetic Data

    Published in JMLR (2026)
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    Optimization Over a Probability Simplex

    Published in JMLR (2026)
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    Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method

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    Sampling and Estimation on Manifolds using the Langevin Diffusion

    Published in JMLR (2026)
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    Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

    Published in JMLR (2026)
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    Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization

    Published in JMLR (2026)
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    Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy

    Published in JMLR (2026)
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    Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

    Published in JMLR (2026)
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