conftrace_

gradient noise

16 papers

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Co-occurring keywords

stochastic gradient descent (1091) stochastic gradient (296) deep neural network (1803) convergence rate (607) deep learning (2118) privacy preservation (380) bayesian inference (1907) image classification (1944) stochastic optimization (1060) differential privacy (1016)

Papers

Beyond Sharpness: The Role of Nonuniformity in Generalization AAAI 2026
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NIPS 2024
Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality JMLR 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection AAAI 2024
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction NIPS 2024
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks NIPS 2023
Large deviations rates for stochastic gradient descent with strongly convex functions AISTATS 2023
On the Overlooked Structure of Stochastic Gradients NIPS 2023
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing EMNLP 2022
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise NIPS 2021
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data WACV 2021
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise AAAI 2020
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations NIPS 2020
On the Noisy Gradient Descent that Generalizes as SGD ICML 2020
On Acceleration with Noise-Corrupted Gradients ICML 2018