conftrace_

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

Learning under Model Misspecification: Applications to Variational and Ensemble methods NIPS 2020
Neural Complexity Measures NIPS 2020
In search of robust measures of generalization NIPS 2020
Learning Optimal Representations with the Decodable Information Bottleneck NIPS 2020
On Convergence and Generalization of Dropout Training NIPS 2020
Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees AISTATS 2020
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics NIPS 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks NIPS 2020
Sharper Generalization Bounds for Pairwise Learning NIPS 2020
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020
Learning with Feature and Distribution Evolvable Streams ICML 2020
Margins are Insufficient for Explaining Gradient Boosting NIPS 2020
Understanding Generalization in Deep Learning via Tensor Methods AISTATS 2020
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020
PAC-Bayes Analysis Beyond the Usual Bounds NIPS 2020
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent ICML 2020
Deep Streaming Label Learning ICML 2020
Disentangling Trainability and Generalization in Deep Neural Networks ICML 2020
Abstraction Mechanisms Predict Generalization in Deep Neural Networks ICML 2020
The Performance Analysis of Generalized Margin Maximizers on Separable Data ICML 2020
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis ICML 2020
Domain Aggregation Networks for Multi-Source Domain Adaptation ICML 2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery NIPS 2020
Reasoning About Generalization via Conditional Mutual Information COLT 2020
Sharper Bounds for Uniformly Stable Algorithms COLT 2020