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Search Results - "Artificial Intelligence"
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WEFE: A Python Library for Measuring and Mitigating Bias in Word Embeddings
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Frontiers to the learning of nonparametric hidden Markov models
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Universal Online Convex Optimization Meets Second-order Bounds
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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skglm: Improving scikit-learn for Regularized Generalized Linear Models
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Losing Momentum in Continuous-time Stochastic Optimisation
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Latent Process Models for Functional Network Data
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Deep Generative Models: Complexity, Dimensionality, and Approximation
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Finite Expression Method for Solving High-Dimensional Partial Differential Equations
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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