Jeremy Nixon

According to our database1, Jeremy Nixon authored at least 8 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
What are you optimizing for? Aligning Recommender Systems with Human Values.
CoRR, 2021

Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning.
CoRR, 2021

2020
Resolving Spurious Correlations in Causal Models of Environments via Interventions.
CoRR, 2020

Semi-Supervised Class Discovery.
CoRR, 2020

Analyzing the role of model uncertainty for electronic health records.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019
Understanding and correcting pathologies in the training of learned optimizers.
Proceedings of the 36th International Conference on Machine Learning, 2019

Measuring Calibration in Deep Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Learned optimizers that outperform SGD on wall-clock and test loss.
CoRR, 2018


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