kernel methods

Gradient Descent in RKHS with Importance Labeling AISTATS 2021 GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data IJCAI 2021 Hierarchical Multiple Kernel Clustering AAAI 2021 Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes NeurIPS 2021 Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021 How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021 Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021 Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation NeurIPS 2021 Improved Mutual Information Estimation AAAI 2021 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space NeurIPS 2021 Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ICML 2021 Isolation Graph Kernel AAAI 2021 KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support NeurIPS 2021 Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021 Kernel Continual Learning ICML 2021 Kernel-convoluted Deep Neural Networks with Data Augmentation AAAI 2021 Kernel Functional Optimisation NeurIPS 2021 Kernel Identification Through Transformers NeurIPS 2021 Kernel Methods in Hyperbolic Spaces ICCV 2021 Kernel Operations on the GPU, with Autodiff, without Memory Overflows JMLR 2021 Kernel Self-Attention for Weakly-Supervised Image Classification Using Deep Multiple Instance Learning WACV 2021 Kernel Thinning COLT 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021 Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system L4DC 2021 Learning local modules in dynamic networks L4DC 2021