activity
20172025
most citedHedging using reinforcement learning: Contextual -Armed Bandit versus -learning

13 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ML2025

Deep Hedging Under Non-Convexity: Limitations and a Case for AlphaZero

Matteo Maggiolo, Giuseppe Nuti, Miroslav Štrupl +1

This paper examines replication portfolio construction in incomplete markets - a key problem in financial engineering with applications in pricing, hedging, balance sheet managemen…

cs.LG2020★ 13 cited

Hedging using reinforcement learning: Contextual -Armed Bandit versus -learning

Loris Cannelli, Giuseppe Nuti, Marzio Sala +1

The construction of replication strategies for contingent claims in the presence of risk and market friction is a key problem of financial engineering. In real markets, continuous…

stat.ML2019

Adaptive Bayesian Reticulum

Giuseppe Nuti, Lluís Antoni Jiménez Rugama, Kaspar Thommen

Neural Networks and Decision Trees: two popular techniques for supervised learning that are seemingly disconnected in their formulation and optimization method, have recently been…

stat.ML2019★ 7 cited

A Bayesian Decision Tree Algorithm

Giuseppe Nuti, Lluís Antoni Jiménez Rugama, Andreea-Ingrid Cross

Bayesian Decision Trees are known for their probabilistic interpretability. However, their construction can sometimes be costly. In this article we present a general Bayesian Decis…

cs.LG2017

An Efficient Algorithm for Bayesian Nearest Neighbours

Giuseppe Nuti

K-Nearest Neighbours (k-NN) is a popular classification and regression algorithm, yet one of its main limitations is the difficulty in choosing the number of neighbours. We present…