Arnab Bhattacharyya
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 3 in the filters
on a stage with
- Christopher Harshawonce
- Liam Solusonce
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Efficient Distance Estimation And Causal Inference For Discrete Models | Algorithmic Aspects of Causal Inference 2022 | 2022-03-18 |
Proves that TV computation is #P‑hard even for product distributions and that deciding TV zero versus nonzero becomes NP‑hard once node degree ≥2; gives an… | ||
| Learning And Testing Causal Models: A Property Testing Viewpoint | Learning from Interventions 2022 | 2022-02-14 |
Frames causal testing as distribution property testing and gives tight sample trade-offs: trade-off between observational and interventional samples is… | ||
| Panel Discussion | Learning from Interventions 2022 | 2022-02-14 |
Defines robustness as controlling average error over an L2 ball of potential outcomes and provides a design that guarantees an unbiased Horvitz-Thompson… | ||
| Algorithmic Regularity for Polynomials and Applications | Neo-Classical Methods in Discrete Analysis 2013 | 2013-12-02 |
Randomized polynomial-time algorithms find an explicit degree-(D−1) polynomial factor that exactly generates any biased degree-D polynomial over… | ||
| nothing matches | ||