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

Correlations between Word Vector Sets EMNLP 2019
Kernel quadrature with DPPs NIPS 2019
KerGM: Kernelized Graph Matching NIPS 2019
Online Learning in Kernelized Markov Decision Processes AISTATS 2019
Kernel Instrumental Variable Regression NIPS 2019
Distribution-Based Semi-Supervised Learning for Activity Recognition AAAI 2019
A Kernel Perspective for Regularizing Deep Neural Networks ICML 2019
A Representer Theorem for Deep Kernel Learning JMLR 2019
Continuous Direct Sparse Visual Odometry from RGB-D Images RSS 2019
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations JMLR 2019
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors AISTATS 2019
Kernel Exponential Family Estimation via Doubly Dual Embedding AISTATS 2019
Convergence of Unregularized Online Learning Algorithms JMLR 2018
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation CVPR 2018
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy ICML 2018
Parallelizing Spectrally Regularized Kernel Algorithms JMLR 2018
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators NIPS 2018
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams IJCAI 2018
Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NIPS 2018
Causal Inference via Kernel Deviance Measures NIPS 2018
Early Stopping for Nonparametric Testing NIPS 2018
Kernel Conditional Exponential Family AISTATS 2018
Differentially Private Database Release via Kernel Mean Embeddings ICML 2018
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods ICML 2018