Sebastien Bubeck
where else to find them
no profile links on file
what they talk about
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Anil Ananthaswamyonce
- Ankur Moitraonce
- Christian Coesteronce
all 7 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Debate: Sparks versus embers | Unknown Futures of Generalization 2024 | 2024-12-02 |
Motion: whether current LLM scaling plus realistic post-training can produce new proof techniques to settle problems like P≠NP. Panelists present concrete… | ||
| Metrical Service Systems with Transformations | ITCS 2021 | 2021-01-06 |
Defines Metrical Server Systems with Transformations: each request is a map from domain AT to image BT and the algorithm pays only to move into AT. Shows any… | ||
| Adversarial Examples | Deep Learning Boot Camp 2019 | 2019-05-28 |
Adversarial robustness remains unsolved empirically and theoretically: on CIFAR‑10 with epsilon=8 the best reported robust accuracy is ~57% and on ImageNet a… | ||
| Kernel-Based Methods for Bandit Convex Optimization | Optimization and Decision-Making Under Uncertainty (Simons Institute, September 2016) | 2016-09-19 |
Proposes a concrete bandit algorithm that replaces one-point gradient estimates with a kernel-based unbiased estimator built from a time-varying kernel (the… | ||
| nothing matches | ||