On-device research index

arXiv research

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.

168,742 papers · 148 categories

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2 results for “batch-partitioning”

Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regressioncs.LG

Batching stabilizes risk in high-dimensional linear regression models.

problem Stability and risk behavior in high-dimensional overparameterized linear regression.

method Minimum-norm overparameterized linear regression model with batch-partitioning.

result Optimal batch size is inversely proportional to noise level and overparametrization ratio, leading to stable risk behavior.

batch-partitioning overparameterized linear regression minimum-norm risk stability

2023-06-14abs ↗pdf ↗

Sequential Batch Learning in Finite-Action Linear Contextual Banditscs.LG

Study batch learning in linear bandits with context, achieving near-optimal performance.

problem Sequential batch learning in linear contextual bandits with finite actions.

method Established regret bounds and provided algorithms for two settings: arbitrary contexts and i.i.d. contexts.

result Regret upper bound nearly matches lower bound, showing polynomial and logarithmic batch requirements.

Sequential Batch Learning Linear Contextual Bandits Regret Analysis Finite Action Sets Regret Lower Bounds

2020-04-14abs ↗pdf ↗