reproducing kernel hilbert space

Nonparametric Continuous Sensor Registration JMLR 2021 No-regret Algorithms for Capturing Events in Poisson Point Processes ICML 2021 On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021 On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests JMLR 2021 Optimal Order Simple Regret for Gaussian Process Bandits NeurIPS 2021 Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime ICLR 2021 Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021 Provably Strict Generalisation Benefit for Invariance in Kernel Methods NeurIPS 2021 Pure Exploration in Kernel and Neural Bandits NeurIPS 2021 Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space NeurIPS 2021 Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021 The Inductive Bias of Quantum Kernels NeurIPS 2021 Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020 A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings NeurIPS 2020 Bandit optimisation of functions in the Matérn kernel RKHS AISTATS 2020 Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections JMLR 2020 Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020 Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses ICML 2020 Harmonic Decompositions of Convolutional Networks ICML 2020 HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation AAAI 2020 Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space IJCAI 2020 Information Theoretic Regret Bounds for Online Nonlinear Control NeurIPS 2020 Kernel and Rich Regimes in Overparametrized Models COLT 2020 Kernel Conditional Density Operators AISTATS 2020 Kernel Conditional Moment Test via Maximum Moment Restriction UAI 2020