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Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Fair Text Classification via Transferable Representations
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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HiMAP: Hidden Markov for Advanced Prognostics
Published in Journal of Open Source Software (2026)Subjects: “…Computer Science & Information Science…”
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Pebble Games and Algebraic Proof Systems
Published in Logical Methods in Computer Science (2026)Subjects: “…Computer Science & Information Science…”
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Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Generalized multi-view model: Adaptive density estimation under low-rank constraints
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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(De)-regularized Maximum Mean Discrepancy Gradient Flow
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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On Probabilistic Embeddings in Optimal Dimension Reduction
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Graph-accelerated Markov Chain Monte Carlo using Approximate Samples
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Online Quantile Regression
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Statistical Inference of Random Graphs With a Surrogate Likelihood Function
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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An Augmentation Overlap Theory of Contrastive Learning
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Algorithms for ridge estimation with convergence guarantees
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Talent: A Tabular Analytics and Learning Toolbox
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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On the Natural Gradient of the Evidence Lower Bound
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & Information Science…”
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