Devavrat Shah
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 6 in the filters
on a stage with
- Abdullah Alomaronce
- Anish Agarwalonce
- Arash Nasr-Esfahanyonce
all 5 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation | NSDI 2023 | 2023-04-17 |
CausalSim provides a causal model and estimator that removes bias in trace-driven simulation by learning latent network conditions from an initial randomized… | ||
| Causalsim: Trace-Driven Simulation For Network Protocols | Algorithmic Aspects of Causal Inference 2022 | 2022-03-18 |
CausalSim is a trace-driven counterfactual simulator that learns a causal network model from an initial RCT (PUFFER) to remove policy bias, maps counterfactual… | ||
| Causal Matrix Estimation | Algorithmic Advances for Statistical Inference with Combinatorial Structure | 2021-10-11 |
Estimates a low‑rank matrix A when the observation mask D depends on latent row/column factors (a causal observation mask that can confound sampling but not… | ||
| Frontiers of Machine Learning from the Lens of Retail | Computational Theories of the Brain 2018 | 2018-04-16 |
Company vision treats extreme sparsity as the central technical problem and claims accurate per-SKU, per-channel demand forecasts by stitching text, image and… | ||
| Time Series Analysis via Matrix Estimation | Societal Networks 2018 | 2018-03-26 |
Transforms a single noisy, partially observed series into a matrix by chopping into length-L columns, runs a black‑box matrix estimation routine, then undoes… | ||
| Low Regret Recommendations and Item-Item Collaborative Filtering | Information Theory, Learning and Big Data (Simons Institute, 2015) | 2015-03-16 |
Shows that a simple item-item collaborative filtering algorithm (nearest-neighbor style with explicit explore/exploit and a never-repeat constraint) gets… | ||
| nothing matches | ||