conftrace_

generalization bound

652 papers

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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

Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport (Abstract Reprint) AAAI 2026
A Flat Minima Perspective on Understanding Augmentations and Model Robustness AAAI 2026
Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026
Multi-Label Classification with Incremental and Decremental Features AAAI 2026
Generalizing Analogical Inference from Boolean to Continuous Domains AAAI 2026
Rademacher Complexity for Distributionally Robust Learning AAAI 2026
DS-Compatible Log-Linear Reliability with KL-Prox EM: Monotone Ascent, Identifiability, and Generalization ALT 2026
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios AAAI 2026
A Novel Data-Dependent Learning Paradigm for Large Hypothesis Classes ALT 2026
PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses ALT 2026
Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization AAAI 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification CVPR 2025
Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples IJCAI 2025
Stable learning using spiking neural networks equipped with affine encoders and decoders JMLR 2025
On the Generalization of Feature Incremental Learning IJCAI 2025
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach AAAI 2025
Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025
Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis JMLR 2025
Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis IJCAI 2025
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation IJCAI 2025
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning AAAI 2025
Towards Improved Risk Bounds for Transductive Learning IJCAI 2025
One-step Label Shift Adaptation via Robust Weight Estimation IJCAI 2025