Oscar Key

According to our database1, Oscar Key authored at least 9 papers between 2020 and 2023.

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

2023
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference.
Proceedings of the International Conference on Machine Learning, 2023

2022
Interlocking Backpropagation: Improving depthwise model-parallelism.
J. Mach. Learn. Res., 2022

Towards Healing the Blindness of Score Matching.
CoRR, 2022

2021
Composite Goodness-of-fit Tests with Kernels.
CoRR, 2021

Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression.
CoRR, 2021

On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes.
Proceedings of the 38th International Conference on Machine Learning, 2021

Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Interlocking Backpropagation: Improving depthwise model-parallelism.
CoRR, 2020


  Loading...