Alan Jeffares
8 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(12)
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Hot Topic Early Bird
Venues
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Research topics
Keywords
prediction interval
(2)
representation learning
(1)
double descent
(1)
neural network training
(1)
conformal prediction
(1)
temporal coding
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
model complexity
(1)
quantile regression
(1)
gradient boosting
(1)
generalization error
(1)
neural network regularization
(1)
spiking neural network
(1)
latent representation
(1)
recurrent neural network
(1)
generalization gap
(1)
tabular data
(1)
linear mode connectivity
(1)
coverage guarantee
(1)
Papers
Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable
ICML 2025
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
NeurIPS 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
ICML 2024
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
NeurIPS 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning
AISTATS 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion
NeurIPS 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
ICLR 2023
Spike-inspired rank coding for fast and accurate recurrent neural networks
ICLR 2022