activity
20162023
most citedThe AI Revolution: Opportunities and Challenges for the Finance Sector

39 citations · 52 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI202339 cited

The AI Revolution: Opportunities and Challenges for the Finance Sector

Carsten Maple, Lukasz Szpruch, Gregory Epiphaniou +7

This report examines Artificial Intelligence (AI) in the financial sector, outlining its potential to revolutionise the industry and identify its challenges. It underscores the cri…

q-fin.PR20233 cited

Insurance pricing on price comparison websites via reinforcement learning

Tanut Treetanthiploet, Yufei Zhang, Lukasz Szpruch +4

The emergence of price comparison websites (PCWs) has presented insurers with unique challenges in formulating effective pricing strategies. Operating on PCWs requires insurers to…

q-fin.MF20231 cited

Inefficiency of CFMs: hedging perspective and agent-based simulations

Samuel Cohen, Marc Sabaté Vidales, David Šiška +1

We investigate whether the fee income from trades on the CFM is sufficient for the liquidity providers to hedge away the exposure to market risk. We first analyse this problem thro…

math.PR2022

Decaying derivative estimates for functions of solutions to non-autonomous SDEs

Maria Lefter, David Šiška, Łukasz Szpruch

We produce uniform and decaying bounds in time for derivatives of the solution to the backwards Kolmogorov equation associated to a stochastic processes governed by a time dependen…

cs.LG20214 cited

Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models

Lukasz Szpruch, Tanut Treetanthiploet, Yufei Zhang

We develop a probabilistic framework for analysing model-based reinforcement learning in the episodic setting. We then apply it to study finite-time horizon stochastic control prob…

stat.ML20165 cited

Multilevel Monte Carlo for Scalable Bayesian Computations

Mike Giles, Tigran Nagapetyan, Lukasz Szpruch +2

Markov chain Monte Carlo (MCMC) algorithms are ubiquitous in Bayesian computations. However, they need to access the full data set in order to evaluate the posterior density at eve…