conftrace_

ornstein-uhlenbeck process

9 papers

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Co-occurring keywords · papers mentioning both

stochastic process (3) stochastic gradient descent (3) non-stationary learning (1) parameter reset (1) adaptive drift (1) time reversal (1) fractional brownian motion (1) score-based generative model (1) saddle point (1) total variation distance (1)

Papers

Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance ICML 2025 On the query complexity of sampling from non-log-concave distributions (extended abstract) COLT 2025 Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models ICML 2024 Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset NeurIPS 2024 The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder ICLR 2022 On the Theoretical Properties of Noise Correlation in Stochastic Optimization NeurIPS 2022 Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process COLT 2020 PCA of high dimensional random walks with comparison to neural network training NeurIPS 2018