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Rico Angell
Publication Activity (10 Years)
Years Active: 2015-2024
Publications (10 Years): 17
Top Topics
Entity Linking
Gaussian Processes
Semidefinite
Relational Graph
Top Venues
CoRR
NAACL-HLT
MTV
EMNLP
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Publications
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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)