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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Generalization
135 directly classified papers
Papers per year
2009: 1
2012: 2
2013: 1
2015: 1
2016: 1
2017: 5
2018: 5
2019: 12
2020: 16
2021: 18
2022: 34
2023: 15
2024: 22
2025: 2
Papers
On the Double Descent of Random Features Models Trained with SGD
NIPS 2022
On the generalization of learning algorithms that do not converge
NIPS 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
NIPS 2022
Differentially Private Learning with Margin Guarantees
NIPS 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
NIPS 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
NIPS 2022
On the Strong Correlation Between Model Invariance and Generalization
NIPS 2022
A Reparametrization-Invariant Sharpness Measure Based on Information Geometry
NIPS 2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
NIPS 2022
Does Momentum Change the Implicit Regularization on Separable Data?
NIPS 2022
Benign Overfitting in Two-layer Convolutional Neural Networks
NIPS 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
NIPS 2022
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
NIPS 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning
NIPS 2022
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization
CVPR 2022
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
NIPS 2022
An Empirical Study of Memorization in NLP
ACL 2022
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
NIPS 2022
Spectral Bias in Practice: The Role of Function Frequency in Generalization
NIPS 2022
Detecting Dissonant Stance in Social Media: The Role of Topic Exposure
EMNLP 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks
NIPS 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
NIPS 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
NIPS 2022
Stability and Generalization of Decentralized Stochastic Gradient Descent
AAAI 2021
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
ICML 2021
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