Bret Nestor

According to our database, Bret Nestor authored at least 11 papers between 2018 and 2026.

Collaborative distances:

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

2026

A Statistical Framework for Algorithmic Collective Action with Multiple Collectives.

Claudio Battiloro, Pietro Greiner, Dario Rancati, Bret Nestor, Oumaima Amezgar, Francesca Dominici

CoRR, May, 2026

Positive-Unlabelled Active Learning to Curate a Dataset for Orca Resident Interpretation.

Bret Nestor, Bohan Yao, Jasmine Moore, Jasper Kanes

CoRR, February, 2026

2025

Algorithmic Collective Action with Multiple Collectives.

Claudio Battiloro, Pietro Greiner, Bret Nestor, Oumaima Amezgar, Francesca Dominici

CoRR, August, 2025

2023

Satisfying Model Validity for Robust Clinical Machine Learning for Time-Series

Bret Nestor

PhD thesis, 2023

Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events.

Matthew B. A. McDermott, Bret Nestor, Peniel N. Argaw, Isaac S. Kohane

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

A comprehensive EHR timeseries pre-training benchmark.

Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data.

Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi

CoRR, 2020

Preparing a Clinical Support Model for Silent Mode in General Internal Medicine.

Bret Nestor, Liam G. McCoy, Amol Verma, Chloé Pou-Prom, Joshua Murray, Sebnem Kuzulugil, David Dai, Muhammad Mamdani, Anna Goldenberg, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation.

Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi

Proceedings of the Machine Learning for Health Workshop, 2019

Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks.

Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2019

2018

Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation.

Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi

CoRR, 2018