ICML "generalization error" Papers
12 papers found
Asymptotics of feature learning in two-layer networks after one gradient-step
Hugo Cui, Luca Pesce, Yatin Dandi et al.
ICML 2024spotlight
Differentially Private Worst-group Risk Minimization
Xinyu Zhou, Raef Bassily
ICML 2024poster
Distributionally Robust Data Valuation
Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu et al.
ICML 2024poster
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
Ankit Vani, Frederick Tung, Gabriel Oliveira et al.
ICML 2024poster
Generalization Error of Graph Neural Networks in the Mean-field Regime
Gholamali Aminian, Yixuan He, Gesine Reinert et al.
ICML 2024poster
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
Yijun Wan, Melih Barsbey, Abdellatif Zaidi et al.
ICML 2024poster
Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
Bowen Zheng, Da-Wei Zhou, Han-Jia Ye et al.
ICML 2024poster
On the Generalization of Stochastic Gradient Descent with Momentum
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher et al.
ICML 2024poster
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh et al.
ICML 2024poster
Predictive Dynamic Fusion
Bing Cao, Yinan Xia, Yi Ding et al.
ICML 2024poster
Slicing Mutual Information Generalization Bounds for Neural Networks
Kimia Nadjahi, Kristjan Greenewald, Rickard Gabrielsson et al.
ICML 2024poster
Towards Realistic Model Selection for Semi-supervised Learning
Muyang Li, Xiaobo Xia, Runze Wu et al.
ICML 2024poster