Alan Jeffares - RankMe

19 papers A* 6A 1C 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Introduction to Discrete Variational Autoencoders. CoRR Alan Jeffares, Liyuan Liu
2025	J	`jnl`	Not All Explanations for Deep Learning Phenomena Are Equally Valuable. CoRR Alan Jeffares, Mihaela van der Schaar
2025	C	`conf`	Partition Tree Ensembles for Improving Multi-Class Classification. ICPRAM Miran Özdogan, Alan Jeffares, Sean B. Holden
2025	—	`conf`	Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable. ICML (Position Papers) Alan Jeffares, Mihaela van der Schaar
2024	A*	`conf`	Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. NeurIPS Alan Jeffares, Alicia Curth, Mihaela van der Schaar
2024	J	`jnl`	Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. CoRR Alan Jeffares, Alicia Curth, Mihaela van der Schaar
2024	A*	`conf`	Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. ICML Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. CoRR Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers. CoRR Alicia Curth, Alan Jeffares, Mihaela van der Schaar
2023	A*	`conf`	A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning. NeurIPS Alicia Curth, Alan Jeffares, Mihaela van der Schaar
2023	J	`jnl`	A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning. CoRR Alicia Curth, Alan Jeffares, Mihaela van der Schaar
2023	A	`conf`	Improving Adaptive Conformal Prediction Using Self-Supervised Learning. AISTATS Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Improving Adaptive Conformal Prediction Using Self-Supervised Learning. CoRR Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar
2023	A*	`conf`	Joint Training of Deep Ensembles Fails Due to Learner Collusion. NeurIPS Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar
2023	J	`jnl`	Joint Training of Deep Ensembles Fails Due to Learner Collusion. CoRR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar
2023	A*	`conf`	TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. ICLR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. CoRR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar
2022	A*	`conf`	Spike-inspired rank coding for fast and accurate recurrent neural networks. ICLR Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
2021	J	`jnl`	Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks. CoRR Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis