Poster "kernel methods" Papers
13 papers found
Faster Algorithms for Structured Linear and Kernel Support Vector Machines
Yuzhou Gu, Zhao Song, Lichen Zhang
ICLR 2025posterarXiv:2307.07735
13
citations
Fast Summation of Radial Kernels via QMC Slicing
Johannes Hertrich, Tim Jahn, Michael Quellmalz
ICLR 2025posterarXiv:2410.01316
9
citations
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
Yilan Chen, Zhichao Wang, Wei Huang et al.
NeurIPS 2025posterarXiv:2506.11357
1
citations
Inverse Methods for Missing Data Imputation
Hao Wang, zhengnan li, Zhichao Chen et al.
NeurIPS 2025poster
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
Gautam Chandrasekaran, Adam Klivans, Lin Lin Lee et al.
ICLR 2025posterarXiv:2502.16021
1
citations
Matérn Kernels for Tunable Implicit Surface Reconstruction
Maximilian Weiherer, Bernhard Egger
ICLR 2025posterarXiv:2409.15466
Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
Shokichi Takakura, Taiji Suzuki
ICML 2024poster
Neural-Kernel Conditional Mean Embeddings
Eiki Shimizu, Kenji Fukumizu, Dino Sejdinovic
ICML 2024poster
On Statistical Learning Theory for Distributional Inputs
Christian Fiedler, Pierre-François Massiani, Friedrich Solowjow et al.
ICML 2024poster
On the Consistency of Kernel Methods with Dependent Observations
Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow
ICML 2024poster
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
Lukas Gruber, Markus Holzleitner, Johannes Lehner et al.
ICML 2024poster
Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
ICML 2024poster
Sequential Kernel Goodness-of-fit Testing
Zhengyu Zhou, Weiwei Liu
ICML 2024poster