2 papers
cs.LG2026
Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters
Hugo Cazaux, Eyjólfur Ingi Ãsgeirsson, Hlynur Stefánsson
Synthetic data has transformed language model training, yet its role in time series forecasting remains poorly understood. We present a large-scale empirical study: nine experiment…
cs.LG2026
Fine-tuning Timeseries Predictors Using Reinforcement Learning
Hugo Cazaux, Ralph Rudd, Hlynur Stefánsson +2
This chapter presents three major reinforcement learning algorithms used for fine-tuning financial forecasters. We propose a clear implementation plan for backpropagating the loss…