conftrace_

generalization bound

652 papers

Explore in graph

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

A Closer Look at the Training Strategy for Modern Meta-Learning NIPS 2020
Minimax Classification with 0-1 Loss and Performance Guarantees NIPS 2020
Information-Theoretic Local Minima Characterization and Regularization ICML 2020
Linear predictor on linearly-generated data with missing values: non consistency and solutions AISTATS 2020
On the Sample Complexity of Adversarial Multi-Source PAC Learning ICML 2020
On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels COLT 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NIPS 2020
Automated Spectral Kernel Learning AAAI 2020
Cost-Accuracy Aware Adaptive Labeling for Active Learning AAAI 2020
Adaptive Adversarial Multi-task Representation Learning ICML 2020
Improving generalization by controlling label-noise information in neural network weights ICML 2020
Generalization and Representational Limits of Graph Neural Networks ICML 2020
Learning Bounds for Risk-sensitive Learning NIPS 2020
Adversarial Risk Bounds through Sparsity based Compression AISTATS 2020
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data ICML 2020
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines ICML 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations ICML 2020
Improved PAC-Bayesian Bounds for Linear Regression AAAI 2020
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss COLT 2020
Open Problem: Information Complexity of VC Learning COLT 2020
Maximum-and-Concatenation Networks ICML 2020
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples NIPS 2020
Learning Sparse Neural Networks for Better Generalization IJCAI 2020
Assessing Local Generalization Capability in Deep Models AISTATS 2020
Adapting Neural Architectures Between Domains NIPS 2020