Shai Ben-David
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
- Hongseok Namkoongonce
- Kamalika Chaudhurionce
- Percy Liangonce
all 4 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Domain Adaptation-- 20 years of theory chasing practice | Domain Adaptation and Related Areas 2024 | 2024-11-12 |
Describes a 2005 NLP fix that represents each token by a pivot-word window embedding and then trains a linear classifier on Wall Street Journal labels that… | ||
| Panel Discussion | Domain Adaptation and Related Areas 2024 | 2024-11-12 |
Panelists debate whether scaling plus architecture wins: larger pretrained models (CLIP/LLMs) empirically fix many classic domain-adaptation traps (e.g… | ||
| Learning probability distributions; what can, what can't be done | Modern Paradigms in Generalization Boot Camp 2024 | 2024-08-27 |
Shows that density estimation is impossible without prior knowledge: samples of size independent of domain size cannot distinguish distributions that are 0.5… | ||
| Unprovability and Other Impossibility Results in Machine Learning | Proof Complexity and Meta-Mathematics 2023 | 2023-03-20 |
Shows that expectation-maximization learning of set families hinges on set-theory: existence of a finite compression scheme for finite-subset classes is… | ||
| When Does Clustering Become Easy, and Should We Care About Other Cases? | Learning, Algorithm Design and Beyond Worst-Case Analysis | 2016-11-14 |
Survey argues that many formal “clusterable” definitions let algorithms run fast but only under unrealistically strong gaps (e.g. epsilon-separateness ≈ 200×… | ||
| nothing matches | ||