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stochastic gradient langevin dynamics

49 papers

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Also known as

SGLD

Co-occurring keywords

bayesian inference (1907) markov chain monte carlo (725) generalization bound (652) variance reduction (523) posterior distribution (259) non-convex optimization (547) information theory (491) uncertainty quantification (1393) differential privacy (1016) bayesian neural network (201)

Papers

Opt3DGS: Optimizing 3D Gaussian Splatting with Adaptive Exploration and Curvature-Aware Exploitation AAAI 2026
Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior JMLR 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024
3D Gaussian Splatting as Markov Chain Monte Carlo NIPS 2024
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels JMLR 2023
Time-Independent Information-Theoretic Generalization Bounds for SGLD NIPS 2023
Preferential Subsampling for Stochastic Gradient Langevin Dynamics AISTATS 2023
Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms COLT 2023
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage COLT 2023
Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics CVPR 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning NIPS 2022
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization NIPS 2022
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics ICML 2022
Understanding and mitigating the limitations of prioritized experience replay UAI 2022
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds AAAI 2022
A Continuous Mapping For Augmentation Design NIPS 2021
Better Training using Weight-Constrained Stochastic Dynamics ICML 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels NIPS 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021
Time-independent Generalization Bounds for SGLD in Non-convex Settings NIPS 2021