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.
UA-LQE improves value function learning by selectively erasing uncertain entries in Q-matrix.
Novel method diagnoses large language models' reasoning abilities.
Paper learns latent and hierarchical structures in CDMs from data.
Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts. Existing approaches usually mine linear interactions of student exercising process by manual-designed function (e.g., logistic function), which is not sufficient …
In this brief, we improve the Broad Learning System (BLS) [7] by reducing the computational complexity of the incremental learning for added inputs. We utilize the inverse of a sum of matrices in [8] to improve a step in the pseudoinverse of a row-partitioned matrix. Accordingly we propose two fast algorithms for the c…
We study the Low Rank Phase Retrieval (LRPR) problem defined as follows: recover an matrix of rank from a different and independent set of phaseless (magnitude-only) linear projections of each of its columns. To be precise, we need to recover from …