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generalization bound

652 papers

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Co-occurring keywords

learning theory (519) neural network (6616) stochastic gradient descent (1091) algorithmic stability (82) rademacher complexity (109) sample complexity (1169) generalization error (285) pac-bayes bound (53) kernel methods (1097) neural network optimization (1293)

Papers

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NIPS 2022
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability NIPS 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NIPS 2022
Model Preserving Compression for Neural Networks NIPS 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias NIPS 2022
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages ACL 2021
Generalization Guarantee of SGD for Pairwise Learning NIPS 2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning NIPS 2021
Fine-grained Generalization Analysis of Structured Output Prediction IJCAI 2021
Understanding the Generalization Benefit of Model Invariance from a Data Perspective NIPS 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks AAAI 2021
Generalization Properties of hyper-RKHS and its Applications JMLR 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization ICML 2021
Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise ICML 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks NIPS 2021
Optimal Rates for Random Order Online Optimization NIPS 2021
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NIPS 2021
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study ICML 2021
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems ICML 2021
Fine-grained Generalization Analysis of Vector-Valued Learning AAAI 2021
GraphMix: Improved Training of GNNs for Semi-Supervised Learning AAAI 2021