conftrace_

rademacher complexity

109 papers

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RC

Co-occurring keywords

generalization bound (652) kernel methods (1097) neural network (6616) learning theory (519) empirical risk minimization (352) sample complexity (1169) multi-class classification (280) risk bound (71) covering number (34) online learning (1777)

Papers

Generalization Analysis for Contrastive Representation Learning ICML 2023
On Measuring Excess Capacity in Neural Networks NIPS 2022
Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification JMLR 2022
Generalization Analysis on Learning with a Concurrent Verifier NIPS 2022
Mean-field nonparametric estimation of interacting particle systems COLT 2022
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models NIPS 2022
Improved Generalization Bounds for Adversarially Robust Learning JMLR 2022
Majorizing Measures, Sequential Complexities, and Online Learning COLT 2021
Relative Deviation Margin Bounds ICML 2021
Generalization error bounds for deep unfolding RNNs UAI 2021
Refined Learning Bounds for Kernel and Approximate $k$-Means NIPS 2021
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers NIPS 2021
Dropout: Explicit Forms and Capacity Control ICML 2021
Localization, Convexity, and Star Aggregation NIPS 2021
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks NIPS 2021
Fine-grained Generalization Analysis of Vector-Valued Learning AAAI 2021
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks AAAI 2021
Learning discrete distributions with infinite support NIPS 2020
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses AISTATS 2020
Automated Spectral Kernel Learning AAAI 2020
Risk Bounds for Reservoir Computing JMLR 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks ICML 2020
Sharp uniform convergence bounds through empirical centralization NIPS 2020