kernel methods

Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024 Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024 Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior ICLR 2024 Learning to Embed Distributions via Maximum Kernel Entropy NeurIPS 2024 Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024 Localisation of Regularised and Multiview Support Vector Machine Learning JMLR 2024 Metric Transforms and Low Rank Representations of Kernels for Fast Attention NeurIPS 2024 Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods ICLR 2024 Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients NeurIPS 2024 Non-parametric Representation Learning with Kernels AAAI 2024 Nonstationary Sparse Spectral Permanental Process NeurIPS 2024 On Computationally Efficient Multi-Class Calibration COLT 2024 Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NeurIPS 2024 On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods JMLR 2024 On the Consistency of Kernel Methods with Dependent Observations ICML 2024 On the Nyström Approximation for Preconditioning in Kernel Machines AISTATS 2024 On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity NeurIPS 2024 OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NeurIPS 2024 Optimal Kernel Quantile Learning with Random Features ICML 2024 Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024 Overcoming Saturation in Density Ratio Estimation by Iterated Regularization ICML 2024 PHSIC against Random Consistency and Its Application in Causal Inference IJCAI 2024 Physics-informed machine learning as a kernel method COLT 2024