Alan Jeffares

According to our database, Alan Jeffares authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Not All Explanations for Deep Learning Phenomena Are Equally Valuable.

Alan Jeffares, Mihaela van der Schaar

CoRR, June, 2025

An Introduction to Discrete Variational Autoencoders.

Alan Jeffares, Liyuan Liu

CoRR, May, 2025

Partition Tree Ensembles for Improving Multi-Class Classification.

Miran Özdogan, Alan Jeffares, Sean B. Holden

Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods, 2025

2024

Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers.

Alicia Curth, Alan Jeffares, Mihaela van der Schaar

CoRR, 2024

Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond.

Alan Jeffares, Alicia Curth, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise.

Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Joint Training of Deep Ensembles Fails Due to Learner Collusion.

Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar

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

A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning.

Alicia Curth, Alan Jeffares, Mihaela van der Schaar

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

TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization.

Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improving Adaptive Conformal Prediction Using Self-Supervised Learning.

Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Spike-inspired rank coding for fast and accurate recurrent neural networks.

Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis

Proceedings of the Tenth International Conference on Learning Representations, 2022