Michael P. Kim
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 2 in the filters
on a stage with
- Juan C. Perdomoonce
- Lunjia Huonce
- Omer Reingoldonce
all 5 in the filters
who talks about the same things
- Lunjia Hu2 talks
- Parikshit Gopalan5 talks
- Udi Wieder2 talks
- Omer Reingold5 talks
- Dor Minzer8 talks
- Yuval Filmus9 talks
| title | conference | date |
|---|---|---|
| Making Decisions under Outcome Performativity | ITCS 2023 | 2023-01-10 |
Defines performative omnipredictor: a regression p(x,y') that, after a simple post‑processing, simultaneously approximates performative optima for any loss set… | ||
| 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… | ||
| A Complexity-Theoretic Perspective on Fairness | Meet the Fellows Welcome Event | 2021-09-08 |
Defines multi-calibration as calibration not just overall but on subpopulations specified by a computational class, and shows how to reduce learning such… | ||
| nothing matches | ||