Research
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

Trend · papers per month

count% of corpus
0.3%0.5%0.8%0.1% · Jul 202119922001200920172026
5 results for “response-adaptive”
Deep Reinforcement Learning for Cyber Securitycs.CR

The scale of Internet-connected systems has increased considerably, and these systems are being exposed to cyber attacks more than ever. The complexity and dynamics of cyber attacks require protecting mechanisms to be responsive, adaptive, and scalable. Machine learning, or more specifically deep reinforcement learning…

2019-06-13abs ↗pdf ↗
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regressionstat.ML

We improve kernel ridge regression for skewed responses using oversampling and adaptive partitioning.

problem Kernel ridge regression struggles with skewed response variables, leading to poor estimates.
method Combines adaptive partitioning with oversampling to address skewed responses in kernel ridge regression.
result The proposed method yields estimates with smaller risk compared to classical methods under mild conditions.
kernel ridge regressionoversamplingadaptive partitioningresponse skewness
2021-07-13abs ↗pdf ↗
DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regretstat.ML

A new algorithm learns optimal personalized treatment plans online with low regret.

problem Learning optimal dynamic treatment regimes in an online setting.
method Developed a novel algorithm balancing exploration and exploitation for rate-optimal regret.
result Guaranteed rate-optimal regret for linear transition and reward models.
Dynamic Treatment RegimesBandit AlgorithmsPersonalized MedicineRegret MinimizationOnline Learning
2020-05-06abs ↗pdf ↗