conftrace_

generalization error bound

51 papers

Explore in graph

Co-occurring keywords

generalization bound (652) generalization error (285) deep neural network (1803) semi-supervised learning (2341) decision tree (322) rademacher complexity (109) multi-class classification (280) reproducing kernel hilbert space (334) feature selection (649) transfer learning (5449)

Papers

Multi-Instance Multi-Label Classification from Crowdsourced Labels AAAI 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization AAAI 2025
A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024
Label Distribution Learning from Logical Label IJCAI 2024
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm NIPS 2023
Generalization error bounds for multiclass sparse linear classifiers JMLR 2023
Tight and fast generalization error bound of graph embedding in metric space ICML 2023
Label Distribution Changing Learning with Sample Space Expanding JMLR 2023
WAT: Improve the Worst-Class Robustness in Adversarial Training AAAI 2023
Generalization Error Bounds on Deep Learning with Markov Datasets NIPS 2022
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning AISTATS 2022
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings AAAI 2022
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss AAAI 2022
On the Provable Generalization of Recurrent Neural Networks NIPS 2021
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks AAAI 2021
Graph-based semi-supervised learning through the lens of safety UAI 2021
Algorithmic stability and generalization of an unsupervised feature selection algorithm NIPS 2021
Generalization Error Bound for Hyperbolic Ordinal Embedding ICML 2021
Parameter-free HE-friendly Logistic Regression NIPS 2021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization NIPS 2021
Generalization error bounds for deep unfolding RNNs UAI 2021
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation ICML 2021
Adaptive Adversarial Multi-task Representation Learning ICML 2020
A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection ACML 2020