Rico Angell

According to our database, Rico Angell authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models.

Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks

CoRR, 2024

Polynomial Precision Dependence Solutions to Alignment Research Center Matrix Completion Problems.

Rico Angell

CoRR, 2024

Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching.

Rico Angell, Andrew McCallum

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Entity Linking via Explicit Mention-Mention Coreference Modeling.

Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Interactive Correlation Clustering with Existential Cluster Constraints.

Rico Angell, Nicholas Monath, Nishant Yadav, Andrew McCallum

Proceedings of the International Conference on Machine Learning, 2022

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.

Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Entity Linking and Discovery via Arborescence-based Supervised Clustering.

Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum

CoRR, 2021

Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction.

Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma

CoRR, 2021

Clustering-based Inference for Biomedical Entity Linking.

Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Low resource recognition and linking of biomedical concepts from a large ontology.

Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models.

Brittany Johnson, Jesse Bartola, Rico Angell, Katherine A. Keith, Sam Witty, Stephen J. Giguere, Yuriy Brun

CoRR, 2020

Clustering-based Inference for Zero-Shot Biomedical Entity Linking.

Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum

CoRR, 2020

2018

Themis: automatically testing software for discrimination.

Rico Angell, Brittany Johnson, Yuriy Brun, Alexandra Meliou

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Inferring Latent Velocities from Weather Radar Data using Gaussian Processes.

Rico Angell, Daniel Sheldon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Don't Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximization.

Rico Angell, Grant Schoenebeck

Proceedings of the Web and Internet Economics - 13th International Conference, 2017

2015

A Topological Approach to Hardware Bug Triage.

Rico Angell, Ben Oztalay, Andrew DeOrio

Proceedings of the 16th International Workshop on Microprocessor and SOC Test and Verification, 2015