3 papers
stat.ML2026
Scalable and Adaptive Distribution Regression via Random Features
Yinsong Wang, Xiao Liu, Yu Ding
Distribution regression seeks to learn mappings from probability distributions to response variables and has emerged as a unifying framework for kernel methods, multi-instance lear…
cs.LG2025
Mutual Information Surprise: Rethinking Unexpectedness in Autonomous Systems
Yinsong Wang, Quan Zeng, Xiao Liu +1
A community of researchers appears to think that a machine can be surprised and have introduced various surprise measures, principally the Shannon Surprise and the Bayesian Surpris…
stat.ML2024
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach
Yinsong Wang, Yu Ding, Shahin Shahrampour
Dynamic density estimation is ubiquitous in many applications, including computer vision and signal processing. One popular method to tackle this problem is the "sliding window" ke…