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.
China Vanke Co. faced a hostile takeover by Baoneng Group, sparking controversy.
PAC-Bayesian learning bounds are of the utmost interest to the learning community. Their role is to connect the generalization ability of an aggregation distribution to its empirical risk and to its Kullback-Leibler divergence with respect to some prior distribution . Unfortunately, most of the available bounds …
Two machine learning methods detect insider trading from investor activity data.
Toehold purchase, defined here as purchase of one share in a firm by an investor preparing a tender offer to acquire majority of shares in it, reduces by one the number of shares this investor needs for majority. In the paper we construct mathematical models for the toehold and no-toehold strategies and compare the exp…
Optimizes control interventions in real-world networks using deep-learning and network science.
Method detects insider trading using trading data and dimensionality reduction.
HSBC grew from Hong Kong to global dominance despite political upheavals.
AI uses KGs to assess economic impact of selective lockdowns on Italian companies.
Framework detects influential actors in disinformation networks.
The rise in online social networking has brought about a revolution in social relations. However, its effects on offline interactions and its implications for collective well-being are still not clear and are under-investigated. We study the ecology of online and offline interaction in an evolutionary game framework wh…
This review is about the convenience, the benefits, as well as the destructive capacities of money. It deals with various aspects of money creation, with its value, and its appropriation. All sorts of money tend to get corrupted by eventually creating too much of them. In the long run, this renders money worthless and …
Researchers develop PAIN to improve self-driving safety through adversarial training.
SMiRL learns to minimize surprise in unstable environments, improving agent performance.
The space of graphs is often characterised by a non-trivial geometry, which complicates learning and inference in practical applications. A common approach is to use embedding techniques to represent graphs as points in a conventional Euclidean space, but non-Euclidean spaces have often been shown to be better suited f…
Paper predicts M&A deal success using ML and DL techniques.
Online social platforms have been the battlefield of users with different emotions and attitudes toward each other in recent years. While sexism has been considered as a category of hateful speech in the literature, there is no comprehensive definition and category of sexism attracting natural language processing techn…
Deep learning detects APT attacks with high accuracy and low false positives.