Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Hi, I’m Youheng.
Youheng Zhu is a second-year PhD candidate at Northwestern University working on statistical learning theory and applied probability.
Blog
Research notes on statistical learning, Monte Carlo methods, and applied probability by Youheng Zhu.
Publications
Preprints and conference papers by Youheng Zhu on statistical learning theory and applied probability.
Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
notes
Two Sobolev Spaces for Stein-Kernelized Monte Carlo
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A two-space Sobolev refinement of Lam and Zhang’s Stein-kernelized Monte Carlo estimator, with a full proof and an extension to Stein-generated Hilbert scales.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Information-theoretic Analysis of the Gibbs Algorithm: An Individual Sample Approach
Published in IEEE Information Theory Workshop (ITW 2024), 2024
On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond
Published in ICML 2026, 2026
A Covering Framework for Offline POMDPs Learning using Belief Space Metric
Published in AISTATS 2026, 2026
An AI-Assisted Solution to the Signed BAR Conjecture: Uniqueness in the Harrison–Reiman Class and a Completely-𝒮 Class Obstruction
Published in arXiv preprint, 2026
High-Dimensional Interpolators Can Be Fragile: Heavy Tails and High-Dimensional Large Deviations
Published in arXiv preprint, 2026
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.