Ilias Diakonikolas
University of Wisconsin–Madison — Computer Sciences · Professor
Research focus: ML theory · robust statistics · learning theory · algorithms
保护项目 1 的预审审核：构建与保护项目 5、2、3、4 及 0 相关的拟合路径，并分析信息计算权衡；请提及一个近期论文或项目，并说明您可在第一学期启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- High-bar theory/ML target; verify active advising and student outcomes directly before relying on placement signal.
- 高门槛理论目标（ML）；在依赖位置信号之前，必须首先验证指导与学生的实际成效。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.