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Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Score-based Causal Representation Learning: Linear and General Transformations
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Learning conditional distributions on continuous spaces
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Statistical field theory for Markov decision processes under uncertainty
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Bayesian Data Sketching for Varying Coefficient Regression Models
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Invariant Subspace Decomposition
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights
Published in Journal of Machine Learning Research (2026)Subjects: “…Computer Science & IT…”
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