Conditional Kernel Stein Discrepancy

arXiv:2610.11863 · stat.ML, cs.LG, math.ST, stat.TH · Submitted 2026-10-08 · Read on arXiv

stat.ML, cs.LG, math.ST, stat.TH

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/DrCohomology/CKSD

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Hilbert Space — 16× in this paper · explained in 2 episodes
• In International Conference on Machine Learning — 9× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Bayesian Inference — 2× in this paper · explained in 5 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• In Conference on Uncertainty in Artificial Intelligence — 2× in this paper
• Trace — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD
• Calibrating Geophysical Predictions under Constrained Probabilistic Distributions
• Nystr\"om Kernel Stein Discrepancy Tests
• Probabilistic Inference and Learning with Stein's Method
• A Kernel Approach for Semi-implicit Variational Inference

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