Jerry Li
where else to find them
linkedin:jieli-li-0350505
what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
never shared a talk
who talks about the same things
- Kemal El Moujahid16 talks
- Clayton Lowery3 talks
- Harriet Cao5 talks
- Valery Litvin2 talks
- Murthy Vitwit2 talks
- Enrico Talin5 talks
| title | conference | date |
|---|---|---|
| Introducing Artela | Cosmoverse 2023 | 2023-10-02 |
A new Cosmos SDK L1 that runs EVM + WASM VMs and adds an "aspect" programming unit to inject logic at transaction stages, claiming runtime customization and… | ||
| Towards Lower Bounds for Efficient Robust Estimation From Worst Case Assumptions | Rigorous Evidence for Information-Computation Trade-offs | 2021-09-13 |
Shows that beating O(sqrt(epsilon)) under only moment or resilience assumptions is probably impossible by reductions from small‑set expansion variants… | ||
| 1Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers | Frontiers of Deep Learning 2019 | 2019-07-15 |
Claims that adversarially train the smooth classifier (optimize the smoothed model’s loss, not data-augmented base loss) substantially improves certifiable L2… | ||
| Mixture Models, Robustness, and Sum of Squares Proofs | Robust and High-Dimensional Statistics (Simons Institute workshop, 2018) | 2018-10-29 |
Gives an efficient pipeline using the Sum of Squares hierarchy to find bounded high-moment subsets and then recover parameters. For mixtures of K Gaussians… | ||
| nothing matches | ||