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

Time-independent Generalization Bounds for SGLD in Non-convex Settings NIPS 2021
Stability and Risk Bounds of Iterative Hard Thresholding AISTATS 2021
Machine Unlearning via Algorithmic Stability COLT 2021
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel NIPS 2021
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent ICML 2020
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020
Online Learning via the Differential Privacy Lens NIPS 2019
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate COLT 2019
Capacity Bounded Differential Privacy NIPS 2019
Multitask Metric Learning: Theory and Algorithm AISTATS 2019
An Exponential Tail Bound for the Deleted Estimate AAAI 2019
Private Stochastic Convex Optimization with Optimal Rates NIPS 2019
Transfer Learning via Learning to Transfer ICML 2018
Generalization Bounds for Uniformly Stable Algorithms NIPS 2018
Data-Dependent Stability of Stochastic Gradient Descent ICML 2018
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints COLT 2018
Stability and Generalization of Learning Algorithms that Converge to Global Optima ICML 2018
Variational Network Inference: Strong and Stable with Concrete Support ICML 2018
Algorithmic Stability and Hypothesis Complexity ICML 2017
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NIPS 2017
A Second-order Look at Stability and Generalization COLT 2017
Train faster, generalize better: Stability of stochastic gradient descent ICML 2016
Algorithmic Stability and Uniform Generalization NIPS 2015
A Theoretical Analysis of Metric Hypothesis Transfer Learning ICML 2015
Concentration in unbounded metric spaces and algorithmic stability ICML 2014