Jeffares, Alan

9 publications

ICML 2025 Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable Alan Jeffares, Mihaela Van Der Schaar

NeurIPS 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

ICMLW 2024 Looking at Deep Learning Phenomena Through a Telescoping Lens Alan Jeffares, Alicia Curth, Mihaela van der Schaar

ICML 2024 Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela Van Der Schaar

NeurIPS 2023 A U-Turn on Double Descent: Rethinking Parameter Counting in Statistical Learning Alicia Curth, Alan Jeffares, Mihaela van der Schaar

AISTATS 2023 Improving Adaptive Conformal Prediction Using Self-Supervised Learning Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela Schaar

NeurIPS 2023 Joint Training of Deep Ensembles Fails Due to Learner Collusion Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar

ICLR 2023 TANGOS: Regularizing Tabular Neural Networks Through Gradient Orthogonalization and Specialization Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar

ICLR 2022 Spike-Inspired Rank Coding for Fast and Accurate Recurrent Neural Networks Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis