kernel embedding

Kernel-Based Safe Exploration in Deep Reinforcement Learning L4DC 2026 Nonlinear functional regression by functional deep neural network with kernel embedding JMLR 2025 Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024 On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives JMLR 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NeurIPS 2024 Latent Variable Representation for Reinforcement Learning ICLR 2023 On Distance and Kernel Measures of Conditional Dependence JMLR 2023 An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022 Kernel Methods for Radial Transformed Compositional Data with Many Zeros ICML 2022 Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning ACML 2022 On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests JMLR 2021 Tractable computation of expected kernels UAI 2021 Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding AAAI 2019 Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor JMLR 2018 An Adaptive Test of Independence with Analytic Kernel Embeddings ICML 2017 Testing and Learning on Distributions with Symmetric Noise Invariance NeurIPS 2017 K2-ABC: Approximate Bayesian Computation with Kernel Embeddings AISTATS 2016 Mixture Proportion Estimation via Kernel Embeddings of Distributions ICML 2016 Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016 Probability Inequalities for Kernel Embeddings in Sampling without Replacement AISTATS 2016 Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NeurIPS 2015 Learning Transferable Features with Deep Adaptation Networks ICML 2015 Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014