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.
A new algorithm for resource-aware multi-armed bandits minimizes regret.
ARCO-BO optimizes multi-agent design under heterogeneity, improving efficiency and performance.
RAAL optimizes black box function optimization with multifidelity models.
MDLdroid improves mobile deep learning for personal sensing with faster training.
Optimizes query routing to LLMs under cost and resource constraints.
CoTj improves diffusion model quality and stability via graph planning.
Unified framework for planning under uncertainty using variational inference.
Continual learning based on data stream mining deals with ubiquitous sources of Big Data arriving at high-velocity and in real-time. Adaptive Random Forest ({\em ARF}) is a popular ensemble method used for continual learning due to its simplicity in combining adaptive leveraging bagging with fast random Hoeffding trees…
In recent years, Convolutional Neural Network (CNN) based methods have achieved great success in a large number of applications and have been among the most powerful and widely used techniques in computer vision. However, CNN-based methods are computational-intensive and resource-consuming, and thus are hard to be inte…