"kernel methods" Papers
16 papers found
Conference
Faster Algorithms for Structured Linear and Kernel Support Vector Machines
Yuzhou Gu, Zhao Song, Lichen Zhang
Fast Summation of Radial Kernels via QMC Slicing
Johannes Hertrich, Tim Jahn, Michael Quellmalz
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
Yilan Chen, Zhichao Wang, Wei Huang et al.
Inverse Methods for Missing Data Imputation
Hao Wang, zhengnan li, Zhichao Chen et al.
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
Gautam Chandrasekaran, Adam Klivans, Lin Lin Lee et al.
Matérn Kernels for Tunable Implicit Surface Reconstruction
Maximilian Weiherer, Bernhard Egger
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
Yassir Bendou, Amine Ouasfi, Vincent Gripon et al.
Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
Shokichi Takakura, Taiji Suzuki
Neural-Kernel Conditional Mean Embeddings
Eiki Shimizu, Kenji Fukumizu, Dino Sejdinovic
Non-parametric Representation Learning with Kernels
Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.
On Statistical Learning Theory for Distributional Inputs
Christian Fiedler, Pierre-François Massiani, Friedrich Solowjow et al.
On the Consistency of Kernel Methods with Dependent Observations
Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
Lukas Gruber, Markus Holzleitner, Johannes Lehner et al.
Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
Sequential Kernel Goodness-of-fit Testing
Zhengyu Zhou, Weiwei Liu
SeTformer Is What You Need for Vision and Language
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger et al.