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20112021
most citedBetter Model Selection with a new Definition of Feature Importance

3 citations · 4 across the 3 of their papers we have counts for

collaborators

10 papers

q-fin.CP2021

The Efficient Hedging Frontier with Deep Neural Networks

Zheng Gong, Carmine Ventre, John O'Hara

The trade off between risks and returns gives rise to multi-criteria optimisation problems that are well understood in finance, efficient frontiers being the tool to navigate their…

stat.ML20203 cited

Better Model Selection with a new Definition of Feature Importance

Fan Fang, Carmine Ventre, Lingbo Li +3

Feature importance aims at measuring how crucial each input feature is for model prediction. It is widely used in feature engineering, model selection and explainable artificial in…

cs.GT2020

Two-way Greedy: Algorithms for Imperfect Rationality

Diodato Ferraioli, Paolo Penna, Carmine Ventre

The realization that selfish interests need to be accounted for in the design of algorithms has produced many contributions in computer science under the umbrella of algorithmic me…

q-fin.GN2020

Ascertaining price formation in cryptocurrency markets with DeepLearning

Fan Fang, Waichung Chung, Carmine Ventre +4

The cryptocurrency market is amongst the fastest-growing of all the financial markets in the world. Unlike traditional markets, such as equities, foreign exchange and commodities,…

cs.GT2019

Social Cost Guarantees in Smart Route Guidance

Paolo Serafino, Carmine Ventre, Long Tran-Thanh +3

We model and study the problem of assigning traffic in an urban road network infrastructure. In our model, each driver submits their intended destination and is assigned a route to…

cs.GT2018

On the approximation guarantee of obviously strategyproof mechanisms

Diodato Ferraioli, Adrian Meier, Paolo Penna +1

Catering to the incentives of people with limited rationality is a challenging research direction that requires novel paradigms to design mechanisms and approximation algorithms. O…