conftrace_

conditional mean embedding

11 papers

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Also known as

CME

Co-occurring keywords · papers mentioning both

reproducing kernel hilbert space (8) operator learning (2) learning rate (2) kernel mean embedding (2) kernel ridge regression (2) bayesian inference (2) sobolev norm (1) interpolation space (1) decentralized learning (1) autocovariance operator (1)

Papers

Kernel Integrated R^2: A Measure of Dependence UAI 2026 Operator World Models for Reinforcement Learning NeurIPS 2024 Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces AAAI 2023 Integrating Prior Knowledge in Contrastive Learning with Kernel ICML 2023 Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence JMLR 2022 Optimal Rates for Regularized Conditional Mean Embedding Learning NeurIPS 2022 Sobolev Norm Learning Rates for Conditional Mean Embeddings AISTATS 2022 Deconditional Downscaling with Gaussian Processes NeurIPS 2021 Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020 A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings NeurIPS 2020 Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019