Omer Reingold
where else to find them
no profile links on file
what they talk about
where they keep going back
- ITCS2 editions2022–2023
on a stage with
all 6 in the filters
who talks about the same things
- Udi Wieder2 talks
- Parikshit Gopalan5 talks
- Oded Goldreich4 talks
- Michael P. Kim3 talks
- Yuval Ishai8 talks
- Yuval Filmus9 talks
| title | conference | date |
|---|---|---|
| Loss Minimization through the lens of Outcome Indistinguishability | ITCS 2023 | 2023-01-10 |
Paper proves that requiring loss OI—Outcome Indistinguishability for a loss-derived distinguisher class—is sufficient to get an Omnipredictor, with learning… | ||
| Multicalibration, Universal Adaptability and Causality | Algorithmic Aspects of Causal Inference 2022 | 2022-03-18 |
Shows a concrete reduction from adapting a study to many unseen targets to enforcing multicalibration: under conditional independence (Y ⟂ Z | X) and mild… | ||
| Omnipredictors | ITCS 2022 | 2022-01-31 |
Shows that a multi-calibrated predictor (computed from data via a weak agnostic learner and multicalibration algorithms) serves as an omnipredictor for… | ||
| Getting Harder All the Time? | Connections Between Algorithm Design and Complexity Theory | 2015-09-28 |
Survey of two concrete research directions: one studies proof-of-work style puzzles that are only moderately hard — intended bounds here are explicit upper and… | ||
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