- AI · arxiv/cs.LG · 8 min
Log-odds aggregation handles unknown state spaces in forecast combining
Chen, Peng, and Tang propose a closed-form aggregator for combining expert forecasts when the underlying outcome range is unknown, achieving tighter regret bounds than prior methods.
April 28, 2026 Read → → - AI · arxiv/cs.LG · 8 min
Foundation Models vs. Task-Specific ML in Electricity Price Forecasting
Time series foundation models outperform traditional deep learning on probabilistic forecasts, but well-tuned conventional models remain competitive at lower computational cost.
April 17, 2026 Read → →