conftrace_

kernel mean embedding

43 papers

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Also known as

KME

Co-occurring keywords

reproducing kernel hilbert space (334) maximum mean discrepancy (164) kernel methods (1097) bayesian inference (1907) differential privacy (1016) generative model (2892) random feature (89) causal inference (1630) probability measure (59) nyström method (32)

Papers

Statistical Learning Theory for Distributional Classification AAAI 2026
IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection AAAI 2026
AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments CVPR 2025
Variance-Aware Estimation of Kernel Mean Embedding JMLR 2025
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling JMLR 2025
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features NIPS 2024
Deep Hierarchical Graph Alignment Kernels IJCAI 2024
On the Ability of Developers' Training Data Preservation of Learnware NIPS 2024
Characterization of translation invariant MMD on Rd and connections with Wasserstein distances JMLR 2024
Recursive Estimation of Conditional Kernel Mean Embeddings JMLR 2024
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings NIPS 2023
RKHS-SHAP: Shapley Values for Kernel Methods NIPS 2022
Distribution Regression with Sliced Wasserstein Kernels ICML 2022
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion ICML 2022
Hermite Polynomial Features for Private Data Generation ICML 2022
Nyström Kernel Mean Embeddings ICML 2022
Non-parametric inference of relational dependence UAI 2022
Deep Layer-wise Networks Have Closed-Form Weights AISTATS 2022
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion NIPS 2021
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings AISTATS 2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes NIPS 2021
High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding AISTATS 2021
Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021
Isolation Graph Kernel AAAI 2021