conftrace_

kernel embedding

29 papers

Explore in graph

Co-occurring keywords

kernel methods (1097) reproducing kernel hilbert space (334) domain adaptation (4595) distribution embedding (7) maximum mean discrepancy (164) probability distribution (265) two-sample test (51) hypothesis testing (254) deep neural network (1803) statistical test (47)

Papers

Nonlinear functional regression by functional deep neural network with kernel embedding JMLR 2025
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives JMLR 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NIPS 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024
On Distance and Kernel Measures of Conditional Dependence JMLR 2023
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning ACML 2022
Kernel Methods for Radial Transformed Compositional Data with Many Zeros ICML 2022
Tractable computation of expected kernels UAI 2021
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests JMLR 2021
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding AAAI 2019
Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor JMLR 2018
An Adaptive Test of Independence with Analytic Kernel Embeddings ICML 2017
Testing and Learning on Distributions with Symmetric Noise Invariance NIPS 2017
Probability Inequalities for Kernel Embeddings in Sampling without Replacement AISTATS 2016
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings AISTATS 2016
Mixture Proportion Estimation via Kernel Embeddings of Distributions ICML 2016
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016
Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NIPS 2015
Learning Transferable Features with Deep Adaptation Networks ICML 2015
Latent Support Measure Machines for Bag-of-Words Data Classification NIPS 2014
A Wild Bootstrap for Degenerate Kernel Tests NIPS 2014
Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013