“Multiclass Local Calibration with the Jensen–Shannon Distance” accepted at AISTATS 2026

Jan 1, 2026 · 1 min read
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“Multiclass Local Calibration with the Jensen–Shannon Distance” was accepted at AISTATS 2026.

Cesare Barbera
Authors
PhD Candidate in Artificial Intelligence

I am a PhD candidate in Artificial Intelligence at the University of Pisa, and I work with the Structured Machine Learning Group at the University of Trento.

My research focuses on uncertainty quantification and reliable machine learning, with particular interests in probabilistic calibration, conformal prediction, and human-AI decision making. More broadly, I am interested in developing the next generation of uncertainty-aware, trustworthy and human-centric AI frameworks.

I am always happy to chat about research, possible collaborations or interesting ideas, so feel free to reach out.

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