Robuta

https://jmlr.org/papers/v22/21-0307.html Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo langevin dynamics decentralized stochastic gradient hamiltonian https://openreview.net/forum?id=TiZYrQ-mPup COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics | OpenReview Many applications of text generation require incorporating different constraints to control the semantics or style of generated text. These constraints can be... text generation langevin dynamics cold decoding energy https://openreview.net/forum?id=bbJ0QCujU4 Regularized Langevin Dynamics for Combinatorial Optimization | OpenReview This work proposes a simple yet effective sampling framework for combinatorial optimization (CO). Our method builds on discrete Langevin dynamics (LD), an... langevin dynamics combinatorial optimization openreview https://openreview.net/forum?id=tj86aGVNb3 Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond |... feature learning mean field langevin dynamics https://openreview.net/forum?id=eHZhjP5QdR Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems | OpenReview In this paper, we extend mean-field Langevin dynamics to minimax optimization over probability distributions for the first time with symmetric and provably... mean field langevin dynamics symmetric distributional minimax https://openreview.net/forum?id=IK9ap6nxXr2 Interacting Contour Stochastic Gradient Langevin Dynamics | OpenReview We propose an interacting contour stochastic gradient Langevin dynamics (ICSGLD) sampler, an embarrassingly parallel multiple-chain contour stochastic gradient... langevin dynamics interacting contour stochastic gradient https://openreview.net/forum?id=DCmahCZJYb&referrer=%5Bthe%20profile%20of%20Wei%20Deng%5D(%2Fprofile%3Fid%3D~Wei_Deng1) Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics |... Replica exchange stochastic gradient Langevin dynamics (reSGLD) is an effective sampler for non-convex learning in large-scale datasets. However, the... replica exchange constrained exploration via reflected https://openreview.net/forum?id=hq2CkcEY7h Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics |... Recently, physics-informed neural networks (PINNs) have gained attention in the scientific community for their potential to solve partial differential... adaptive sampling https://arxiv.org/abs/2204.11150v1 [2204.11150v1] Learning and Inference in Sparse Coding Models with Langevin Dynamics Abstract page for arXiv paper 2204.11150v1: Learning and Inference in Sparse Coding Models with Langevin Dynamics https://jmlr.org/papers/v21/19-327.html On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics stationary point hitting time