Nikolaj Thams

4 papers · 2021–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICML (2) JMLR (1) NeurIPS (1)

Top co-authors

Jonas Peters (3) David Sontag (2) Michael Oberst (2) Rikke Søndergaard (1) Phillip B Mogensen (1) Sebastian Weichwald (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Artificial Intelligence (3) Core AI (3) Application Areas (2) Learning Types (2) Data Science & Analytics (1) Knowledge & Reasoning (1) Mathematics & Optimization (1) Core Methods (1) Mathematics (1) Methods (1) Reasoning (1)

Keywords

causal inference (2) causal discovery (1) model robustness (1) time series (1) importance sampling (1) distribution shift (1) worst-case optimization (1) dataset shift (1) parametric model (1) structural causal model (1) causal intervention (1) linear model (1) confounding adjustment (1) instrumental variable (1) proxy variable (1) invariant prediction (1) causal invariance (1) ancestry search (1) minimal invariance (1) response variable (1)

Papers

Identifying Causal Eﬀects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024 Evaluating Robustness to Dataset Shift via Parametric Robustness Sets NeurIPS 2022 Invariant Ancestry Search ICML 2022 Regularizing towards Causal Invariance: Linear Models with Proxies ICML 2021