Search Results - Journal of Artificial Intelligence

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    Recursive Causal Discovery

    Published in JMLR (2026)
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    Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings

    Published in JMLR (2026)
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    On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations

    Published in JMLR (2026)
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    Determine the Number of States in Hidden Markov Models via Marginal Likelihood

    Published in JMLR (2026)
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    Variance-Aware Estimation of Kernel Mean Embedding

    Published in JMLR (2026)
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    Scaling ResNets in the Large-depth Regime

    Published in JMLR (2026)
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    A Comparative Evaluation of Quantification Methods

    Published in JMLR (2026)
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    Lightning UQ Box: Uncertainty Quantification for Neural Networks

    Published in JMLR (2026)
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    Scaling Data-Constrained Language Models

    Published in JMLR (2026)
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    Curvature-based Clustering on Graphs

    Published in JMLR (2026)
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    Composite Goodness-of-fit Tests with Kernels

    Published in JMLR (2026)
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    PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark

    Published in JMLR (2026)
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    The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning

    Published in JMLR (2026)
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    Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data

    Published in JMLR (2026)
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    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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    Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization

    Published in JMLR (2026)
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    Manifold Fitting under Unbounded Noise

    Published in JMLR (2026)
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    Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play

    Published in JMLR (2026)
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    Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

    Published in JMLR (2026)
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    Extremal graphical modeling with latent variables via convex optimization

    Published in JMLR (2026)
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