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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

Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Understanding the Generalization Benefit of Model Invariance from a Data Perspective NIPS 2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning NIPS 2021
Generalization Guarantee of SGD for Pairwise Learning NIPS 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters NIPS 2021
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks NIPS 2021
What training reveals about neural network complexity NIPS 2021
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels NIPS 2021
Improved generalization bounds of group invariant / equivariant deep networks via quotient feature spaces UAI 2021
An optimization and generalization analysis for max-pooling networks UAI 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning IJCNLP 2021
On the proliferation of support vectors in high dimensions AISTATS 2021
On the Role of Data in PAC-Bayes Bounds AISTATS 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning AISTATS 2021
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss AISTATS 2021
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization AISTATS 2021
Generalization Properties of hyper-RKHS and its Applications JMLR 2021
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021
Multi-group Agnostic PAC Learnability ICML 2021
Learning Bounds for Open-Set Learning ICML 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
RATT: Leveraging Unlabeled Data to Guarantee Generalization ICML 2021
Relative Deviation Margin Bounds ICML 2021