Alan Jeffares
8 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(4)
🐝
Cross-Pollinator
(13)
🌉
Interdisciplinary Bridge
Conferences
NIPS (3)
ICLR (2)
ICML (2)
AISTATS (1)
Top co-authors
Keywords
statistical learning
(1)
representation learning
(1)
double descent
(1)
neural network training
(1)
conformal prediction
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
model complexity
(1)
gradient boosting
(1)
generalization error
(1)
prediction interval
(1)
generalization gap
(1)
linear mode connectivity
(1)
deep ensemble
(1)
nonconformity score
(1)
joint optimization
(1)
model diversity
(1)
empirical analysis
(1)
neural network
(1)
parameter counting
(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
NIPS 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
ICML 2024
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
ICLR 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion
NIPS 2023
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
NIPS 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning
AISTATS 2023
Spike-inspired rank coding for fast and accurate recurrent neural networks
ICLR 2022