Search Results :: FRELIP Discovery

Covariate-dependent Hierarchical Dirichlet Processes

Published in Journal of Machine Learning Research (JMLR) (2026)

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DCatalyst: A Unified Accelerated Framework for Decentralized Optimization

Published in Journal of Machine Learning Research (JMLR) (2026)

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Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models

Published in Journal of Machine Learning Research (JMLR) (2026)

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Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas

Published in Journal of Machine Learning Research (JMLR) (2026)

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A Symplectic Analysis of Alternating Mirror Descent

Published in Journal of Machine Learning Research (JMLR) (2026)

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Two-way Node Popularity Model for Directed and Bipartite Networks

Published in Journal of Machine Learning Research (JMLR) (2026)

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Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization

Published in Journal of Machine Learning Research (JMLR) (2026)

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Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood

Published in Journal of Machine Learning Research (JMLR) (2026)

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A causal fused lasso for interpretable heterogeneous treatment effects estimation

Published in Journal of Machine Learning Research (JMLR) (2026)

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Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization

Published in Journal of Machine Learning Research (JMLR) (2026)

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Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent

Published in Journal of Machine Learning Research (JMLR) (2026)

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Hierarchical Causal Models

Published in Journal of Machine Learning Research (JMLR) (2026)

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Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection

Published in Journal of Machine Learning Research (JMLR) (2026)

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Adaptive Forward Stepwise: A Method for High Sparsity Regression

Published in Journal of Machine Learning Research (JMLR) (2026)

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Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width

Published in Journal of Machine Learning Research (JMLR) (2026)

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Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection

Published in Journal of Machine Learning Research (JMLR) (2026)

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CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration

Published in Journal of Machine Learning Research (JMLR) (2026)

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Persistence Diagrams Estimation of Multivariate Piecewise H{"o}lder-continuous Signals

Published in Journal of Machine Learning Research (JMLR) (2026)

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Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling

Published in Journal of Machine Learning Research (JMLR) (2026)

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Generative Bayesian Inference with GANs

Published in Journal of Machine Learning Research (JMLR) (2026)

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