Ben Lengerich

4 papers · 2018–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) COLING (1) ICML (1)

Top co-authors

Eric P. Xing (2) Bryon Aragam (1) Geoffrey E. Hinton (1) Christopher Potts (1) Andrew Maas (1) Nicholas Frosst (1) Eric P Xing (1) Yingtao Luo (1) Rich Caruana (1) Pascal Friederich (1)

Research topics

Machine Learning (4) Core Methods (3) Artificial Intelligence (2) Core AI (2) Knowledge & Reasoning (1) Reinforcement Learning (1) Application Areas (1) Methods (1) Representation (1)

Keywords

link prediction (1) imitation learning (1) interpretability (1) interpretable machine learning (1) feature attribution (1) graph embedding (1) policy recovery (1) knowledge graph (1) entity embedding (1) low-rank regression (1) generalized additive model (1) neural additive model (1) sample-specific model (1) personalized regression (1) adaptive (1) contextualized (1) antibiotic prescription (1)

Papers

Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning ICML 2024 Neural Additive Models: Interpretable Machine Learning with Neural Nets NeurIPS 2021 Learning Sample-Specific Models with Low-Rank Personalized Regression NeurIPS 2019 Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations COLING 2018