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

Sobolev Norm Learning Rates for Conditional Mean Embeddings AISTATS 2022
Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces NIPS 2022
A Witness Two-Sample Test AISTATS 2022
Gaussian Process Bandit Optimization with Few Batches AISTATS 2022
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NIPS 2022
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NIPS 2022
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NIPS 2022
TRF: Learning Kernels with Tuned Random Features AAAI 2022
Single Trajectory Nonparametric Learning of Nonlinear Dynamics COLT 2022
Measuring dissimilarity with diffeomorphism invariance ICML 2022
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings L4DC 2022
Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses ICML 2022
Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits COLT 2022
Learning Inconsistent Preferences with Gaussian Processes AISTATS 2022
Instance Dependent Regret Analysis of Kernelized Bandits ICML 2022
Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence JMLR 2022
Harmless interpolation in regression and classification with structured features AISTATS 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning NIPS 2022
Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information AAAI 2022
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NIPS 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