Jeffares, Alan
- Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
2024/02/02 by Alicia Curth, Curth, Alicia, Alan Jeffares +3 · 6 voices · 1 citation
Computer Science · #Neural Networks and Applications
- A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
2023/10/29 by Alicia Curth, Alan Jeffares, Curth, Alicia +3 · 2 voices · 3 citations
#stat.ML #cs.LG
- TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
2023/03/09 by Jeffares, Alan, Liu, Tennison, Crabbé, Jonathan +2 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
2024/06/05 by Thomas Pouplin, Pouplin, Thomas, Alan Jeffares +5 · 3 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Joint Training of Deep Ensembles Fails Due to Learner Collusion
2023/01/26 by Alan Jeffares, Jeffares, Alan, Tennison Liu +5 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
2024/10/31 by Alan Jeffares, Jeffares, Alan, Alicia Curth +3 · 6 voices
Computer Science · Engineering · #Architecture and Computational Design #Neural Networks and Reservoir Computing #Stochastic Gradient Optimization Techniques #cs.AI #cs.LG #stat.ML
- Improving Adaptive Conformal Prediction Using Self-Supervised Learning
2023/02/23 by Seedat, Nabeel, Jeffares, Alan, Imrie, Fergus +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)