Emilio Dorigatti

4 papers · 2023–2025 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

AISTATS (2) UAI (2)

Top co-authors

Marcel Arpogaus (1) Nutan Chen (1) Lisa Helen Beer (1) Lucas Kook (1) Chris Kolb (1) Tobias Pielok (1) Thomas Augustin (1) Cornelius Fritz (1) Philipp Baumann (1) Philipp Schiele (1)

Research topics

Deep Learning (3) Machine Learning (3) Artificial Intelligence (2) Architectures (2) Bayesian & Probabilistic (2) Core Methods (2) Mathematics & Optimization (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Optimization (1) Optimization & Theory (1)

Keywords

semi-supervised learning (1) domain generalization (1) bayesian inference (1) uncertainty quantification (1) marginal likelihood (1) survival analysis (1) structural risk minimization (1) posterior predictive (1) multi-objective optimization (1) probabilistic graphical model (1) deep neural network (1) distributional regression (1) confidence interval (1) type i error (1) semi-structured regression (1) pareto dominance (1) output feedback (1) confirmation bia (1) neural network (1) pseudo-label selection (1)

Papers

M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling AISTATS 2025 How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression UAI 2024 Approximately Bayes-optimal pseudo-label selection UAI 2023 Frequentist Uncertainty Quantification in Semi-Structured Neural Networks AISTATS 2023