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    EMaP: Explainable AI with Manifold-based Perturbations

    Published in JMLR (2026)
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    Autoencoders in Function Space

    Published in JMLR (2026)
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    Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds

    Published in JMLR (2026)
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    System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

    Published in JMLR (2026)
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    Distribution Estimation under the Infinity Norm

    Published in JMLR (2026)
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    Extending Temperature Scaling with Homogenizing Maps

    Published in JMLR (2026)
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    Density Estimation Using the Perceptron

    Published in JMLR (2026)
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    Simplex Constrained Sparse Optimization via Tail Screening

    Published in JMLR (2026)
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    Score-Based Diffusion Models in Function Space

    Published in JMLR (2026)
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    Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms

    Published in JMLR (2026)
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    WEFE: A Python Library for Measuring and Mitigating Bias in Word Embeddings

    Published in JMLR (2026)
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    Frontiers to the learning of nonparametric hidden Markov models

    Published in JMLR (2026)
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    On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes

    Published in JMLR (2026)
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    Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation

    Published in JMLR (2026)
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    Universal Online Convex Optimization Meets Second-order Bounds

    Published in JMLR (2026)
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    Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens

    Published in JMLR (2026)
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    Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests

    Published in JMLR (2026)
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    skglm: Improving scikit-learn for Regularized Generalized Linear Models

    Published in JMLR (2026)
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    Losing Momentum in Continuous-time Stochastic Optimisation

    Published in JMLR (2026)
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    Latent Process Models for Functional Network Data

    Published in JMLR (2026)
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