conftrace_

reproducing kernel hilbert space

334 papers

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Also known as

RKHS

Co-occurring keywords

kernel methods (1097) gaussian process (1200) maximum mean discrepancy (164) regret bound (1926) kernel ridge regression (111) support vector machine (978) convex optimization (1321) kernel mean embedding (43) generalization bound (652) bayesian optimization (624)

Papers

Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022
Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence JMLR 2022
Handling Hard Affine SDP Shape Constraints in RKHSs JMLR 2022
Functional Linear Regression with Mixed Predictors JMLR 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics COLT 2022
Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021
Nonlinear Functional Output Regression: A Dictionary Approach AISTATS 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation AISTATS 2021
Last iterate convergence of SGD for Least-Squares in the Interpolation regime. NIPS 2021
COKE: Communication-Censored Decentralized Kernel Learning JMLR 2021
Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings AISTATS 2021
Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021
Kernel Thinning COLT 2021
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021
Improved Mutual Information Estimation AAAI 2021
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests JMLR 2021
Nonlinear Data-Enabled Prediction and Control L4DC 2021
Learning Approximate Forward Reachable Sets Using Separating Kernels L4DC 2021
Consistency of Gaussian Process Regression in Metric Spaces JMLR 2021
Misspecified Gaussian Process Bandit Optimization NIPS 2021
A kernel two-sample test with selection bias UAI 2021
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences JMLR 2021
Counterfactual Mean Embeddings JMLR 2021