conftrace_

algorithmic stability

82 papers

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Co-occurring keywords

generalization bound (652) stochastic gradient descent (1091) generalization error (285) non-convex optimization (547) learning theory (519) differential privacy (1016) uniform stability (23) neural network (6616) convex optimization (1321) statistical learning (351)

Papers

Stability and Generalization for Stochastic (Compositional) Optimizations IJCAI 2025
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025
Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization IJCAI 2024
On the Computational Landscape of Replicable Learning NIPS 2024
Building a stable classifier with the inflated argmax NIPS 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance JMLR 2024
Credit Attribution and Stable Compression NIPS 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation JMLR 2023
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares ALT 2023
Replicability in Reinforcement Learning NIPS 2023
Statistical Indistinguishability of Learning Algorithms ICML 2023
On the bias of K-fold cross validation with stable learners AISTATS 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability ICML 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent NIPS 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NIPS 2023
Neural Processes with Stability NIPS 2023
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms NIPS 2023