Benjamin P. Evans

According to our database, Benjamin P. Evans authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis.

Deepeka Garg, Benjamin Patrick Evans, Leo Ardon, Annapoorani Lakshmi Narayanan, Jared Vann, Udari Madhushani, Makada Henry-Nickie, Sumitra Ganesh

CoRR, 2024

Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products.

Leo Ardon, Benjamin Patrick Evans, Deepeka Garg, Annapoorani Lakshmi Narayanan, Makada Henry-Nickie, Sumitra Ganesh

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-agent Reinforcement Learning.

Benjamin Patrick Evans, Sumitra Ganesh

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2022

Bounded strategic reasoning explains crisis emergence in multi-agent market games.

Benjamin Patrick Evans, Mikhail Prokopenko

CoRR, 2022

2021

A Maximum Entropy Model of Bounded Rational Decision-Making with Prior Beliefs and Market Feedback.

Benjamin Patrick Evans, Mikhail Prokopenko

Entropy, 2021

Bounded rationality for relaxing best response and mutual consistency: An information-theoretic model of partial self-reference.

Benjamin Patrick Evans, Mikhail Prokopenko

CoRR, 2021

2020

The impact of social influence in Australian real-estate: market forecasting with a spatial agent-based model.

Benjamin Patrick Evans, Kirill Glavatskiy, Michael S. Harré, Mikhail Prokopenko

CoRR, 2020

Improving generalisation of AutoML systems with dynamic fitness evaluations.

Benjamin P. Evans, Bing Xue, Mengjie Zhang

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML.

Benjamin P. Evans, Bing Xue, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification.

Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang

CoRR, 2019

What's inside the black-box?: a genetic programming method for interpreting complex machine learning models.

Benjamin P. Evans, Bing Xue, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification.

Benjamin P. Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018