Co-occurring keywords · papers mentioning both
Papers
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
NeurIPS 2018
Demystifying MMD GANs
ICLR 2018
Differentiable Compositional Kernel Learning for Gaussian Processes
ICML 2018
Domain Adapted Word Embeddings for Improved Sentiment Classification
ACL 2018
Early Stopping for Nonparametric Testing
NeurIPS 2018
Efficient and principled score estimation with Nyström kernel exponential families
AISTATS 2018
Empirical Risk Minimization Under Fairness Constraints
NeurIPS 2018
Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory
ICML 2018
Factor Analysis on a Graph
AISTATS 2018
Fast Cross-Validation
IJCAI 2018
Fast generalization error bound of deep learning from a kernel perspective
AISTATS 2018
Fast Information-theoretic Bayesian Optimisation
ICML 2018
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy
ICML 2018
High-Speed Tracking With Multi-Kernel Correlation Filters
CVPR 2018
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
EMNLP 2018
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
AISTATS 2018
KELP: a Kernel-based Learning Platform
JMLR 2018
Kernel Conditional Exponential Family
AISTATS 2018
Kernel Implicit Variational Inference
ICLR 2018
Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor
JMLR 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood
ICML 2018
LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers
CVPR 2018
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels
NeurIPS 2018
Learning in Reproducing Kernel Kreı̆n Spaces
ICML 2018
Learning with SGD and Random Features
NeurIPS 2018