Paweł Teisseyre

3 papers · 2021–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 📈 Trend Setter

Venues

AISTATS (1) JMLR (1) UAI (1)

Top co-authors

Jan Mielniczuk (2) Timo Martens (1) Jesse Davis (1) Jessa Bekker (1) Mariusz Kubkowski (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (2) Deep Learning (1) Healthcare & Medicine (1) Knowledge & Reasoning (1) Bayesian & Probabilistic (1) Clinical (1) Core Methods (1) Learning Types · Deep Learning (1) Optimization & Theory (1) Reasoning (1)

Keywords

propensity score (2) positive-unlabeled learning (2) causal discovery (1) weakly supervised learning (1) robust statistics (1) empirical risk minimization (1) conditional mutual information (1) conditional independence test (1) regression calibration (1) disease prediction (1) threshold calibration (1) binary classification (1) markov blanket discovery (1) feature selection (1)

Papers

Positive-Unlabeled Regression: learning from partially labeled quantitative outcomes UAI 2026 Learning from biased positive-unlabeled data via threshold calibration AISTATS 2025 How to Gain on Power: Novel Conditional Independence Tests Based on Short Expansion of Conditional Mutual Information JMLR 2021