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Rich Caruana

14 papers · 1999–2022 · 8 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (33) πŸƒ Academic Marathon Β· Ultra 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🌱 Topic Pioneer πŸ† Keyword Champion (2) 🧭 Keyword Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (62) πŸš€ Conference Pioneer ❓ The Questioner πŸ“ˆ Trend Setter

Venues

NeurIPS (4) AISTATS (3) ICML (2) CLeaR (1) CVPR (1) EMNLP (1) ICLR (1) JMLR (1)

Top co-authors

Chun-Hao Chang (2) Harsha Nori (2) Geoffrey E. Hinton (1) Sarah Tan (1) Jia-Bin Huang (1) Brian Quistorff (1) Virginia R. de Sa (1) Hanzhang Hu (1) Andrew Farnsworth (1) Eric Xing (1)

Research topics

Machine Learning (11) Core Methods (9) Artificial Intelligence (7) Deep Learning (5) Core AI (5) Application Areas Β· Machine Learning (4) Learning Types Β· Machine Learning (4) Optimization & Theory Β· Machine Learning (4) Optimization & Theory Β· Deep Learning (3) Architectures (2) Learning Types Β· Deep Learning (2) Techniques (2) Computer Vision (1) Analysis (1) Application Areas Β· Deep Learning (1)

Keywords

neural network (3) differential privacy (2) interaction effect (2) deep neural network (2) feature selection (2) interpretable model (2) generalized additive model (2) network architecture (2) feature learning (1) stereo vision (1) multi-task learning (1) parameter estimation (1) computer vision (1) object detection (1) probabilistic modeling (1) 3d reconstruction (1) topic modeling (1) speech recognition (1) supervised learning (1) knowledge distillation (1)

Papers

Differentially Private Estimation of Heterogeneous Causal Effects CLeaR 2022 Dropout as a Regularizer of Interaction Effects AISTATS 2022 NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning ICLR 2022 Accuracy, Interpretability, and Differential Privacy via Explainable Boosting ICML 2021 Neural Additive Models: Interpretable Machine Learning with Neural Nets NeurIPS 2021 Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models AISTATS 2020 Efficient Forward Architecture Search NeurIPS 2019 Analysis of Deep Neural Networks with Extended Data Jacobian Matrix ICML 2016 Detecting Migrating Birds at Night CVPR 2016 Do Deep Nets Really Need to be Deep? NeurIPS 2014 Using multiple samples to learn mixture models NeurIPS 2013 Optimizing to Arbitrary NLP Metrics using Ensemble Selection EMNLP 2005 Benefitting from the Variables that Variable Selection Discards JMLR 2003 Inductive Transfer for Bayesian Network Structure Learning AISTATS 1999