Tessa Bauman

According to our database, Tessa Bauman authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

A Deep Learning Approach to Goal-Based Portfolio Optimization in Non-Stationary Environments.

Tessa Bauman, Lovre Mrcela, Sven Goluza, Zvonko Kostanjcar

IEEE Access, 2025

2024

Deep reinforcement learning with positional context for intraday trading.

Sven Goluza, Tomislav Kovacevic, Tessa Bauman, Zvonko Kostanjcar

Evol. Syst., October, 2024

Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching.

Tessa Bauman, Sven Goluza, Bruno Gasperov, Zvonko Kostanjcar

Proceedings of the Northern Lights Deep Learning Conference, 2024

2023

Imitation Learning for Financial Applications.

Sven Goluza, Tessa Bauman, Tomislav Kovacevic, Zvonko Kostanjcar

Proceedings of the 46th MIPRO ICT and Electronics Convention, 2023

Deep Reinforcement Learning for Robust Goal-Based Wealth Management.

Tessa Bauman, Bruno Gasperov, Stjepan Begusic, Zvonko Kostanjcar

Proceedings of the Artificial Intelligence Applications and Innovations, 2023