arXiv:2401. 14483v4 Announce Type: replace Abstract: In the current practices of machine learning, the evaluation of forecasts has become a cornerstone of scientific progress.
By Rabanus Derr, Robert C. Williamson
arXiv:2607. 12928v1 Announce Type: new Abstract: We study the online binary sequential calibration problem.
By Zihan Zhang
arXiv:2606. 09517v1 Announce Type: new Abstract: As renewable energy integration increases market volatility, probabilistic electricity price forecasting has become essential for effective risk management.
By Jan Niklas Lettner, Hadeer El Ashhab, Benjamin Sch\"afer
arXiv:2306. 02704v2 Announce Type: replace-cross Abstract: We introduce \emph{Calibrated Stackelberg Games (CSGs)}, a generalization of the standard Stackelberg Games (SGs) framework.
By Nika Haghtalab, Chara Podimata, Kunhe Yang
arXiv:2607. 16229v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as components of agentic systems that observe, plan, and act.
By Rishab Ghosh, Vinay Devarakonda
arXiv:2606. 03245v1 Announce Type: cross Abstract: Concepts of calibration formalize the compatibility between probabilistic predictions and the respective outcomes.
By Johannes Resin, Lu Yang, Tilmann Gneiting