A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Paper proposes SiSTA for single-shot domain adaptation using target-aware generative augmentation.
Paper proposes SDDP for improving time series forecasting with high-dimensional predictors.
We introduce HTAD, a novel model for diagnosis prediction using Electronic Health Records (EHR) represented as Heterogeneous Information Networks. Recent studies on modeling EHR have shown success in automatically learning representations of the clinical records in order to avoid the need for manual feature selection. …
TAWT improves cross-task learning efficiency and guarantees.
In many real-world scenarios where data is high dimensional, test time acquisition of features is a non-trivial task due to costs associated with feature acquisition and evaluating feature value. The need for highly confident models with an extremely frugal acquisition of features can be addressed by allowing a feature…
A new pricing controller handles resource constraints to infer target prices effectively.
TASFAR adapts regression models without labeled source data.
Deep generative model discovers inhibitors for unknown targets.