Rico Angell

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Gaussian Processes

Relational Graph

Top Venues

Publications

Rico Angell
Polynomial Precision Dependence Solutions to Alignment Research Center Matrix Completion Problems. CoRR (2024)
Rico Angell, Andrew McCallum
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching. CoRR (2023)
Rico Angell, Nicholas Monath, Nishant Yadav, Andrew McCallum
Interactive Correlation Clustering with Existential Cluster Constraints. ICML (2022)
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. EMNLP (2022)
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
Entity Linking via Explicit Mention-Mention Coreference Modeling. NAACL-HLT (2022)
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. CoRR (2022)
Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum
Low resource recognition and linking of biomedical concepts from a large ontology. BCB (2021)
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
Clustering-based Inference for Biomedical Entity Linking. NAACL-HLT (2021)
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
Entity Linking and Discovery via Arborescence-based Supervised Clustering. CoRR (2021)
Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction. CoRR (2021)
Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum
Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology. CoRR (2021)
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
Clustering-based Inference for Zero-Shot Biomedical Entity Linking. CoRR (2020)
Brittany Johnson, Jesse Bartola, Rico Angell, Katherine Keith, Sam Witty, Stephen J. Giguere, Yuriy Brun
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models. CoRR (2020)
Rico Angell, Daniel R. Sheldon
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes. NeurIPS (2018)
Rico Angell, Brittany Johnson, Yuriy Brun, Alexandra Meliou
Themis: automatically testing software for discrimination. ESEC/SIGSOFT FSE (2018)
Rico Angell, Grant Schoenebeck
Don't Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximization. WINE (2017)
Rico Angell, Grant Schoenebeck
Don't Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximization. CoRR (2016)
Rico Angell, Ben Oztalay, Andrew DeOrio
A Topological Approach to Hardware Bug Triage. MTV (2015)