'Sampling and Estimation on Manifolds using the Langevin Diffusion', by Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov.
http://jmlr.org/papers/v26/24-0829.html
#estimation #langevin #estimators
'Sampling and Estimation on Manifolds using the Langevin Diffusion', by Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov.
http://jmlr.org/papers/v26/24-0829.html
#estimation #langevin #estimators
'Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions', by Natesh S. Pillai.
http://jmlr.org/papers/v25/23-0139.html
#langevin #densities #diffusion
'Fisher information dissipation for time-inhomogeneous stochastic differential equations', by Qi Feng, Xinzhe Zuo, Wuchen Li.
http://jmlr.org/papers/v25/24-0206.html
#langevin #stochastic #lyapunov
'Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling', by Mert Gurbuzbalaban, Yuanhan Hu, Lingjiong Zhu.
http://jmlr.org/papers/v25/22-1443.html
#langevin #sampling #unconstrained
'On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling', by Rong Tang, Yun Yang.
http://jmlr.org/papers/v25/23-0783.html
#langevin #sampling #metropolis
'Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks', by Dong-Young Lim, Sotirios Sabanis.
http://jmlr.org/papers/v25/22-0796.html
#langevin #adaptive #optimizers
'Mini-batching error and adaptive Langevin dynamics', by Inass Sekkat, Gabriel Stoltz.
http://jmlr.org/papers/v24/21-1412.html
#langevin #minibatching #markov
'Microcanonical Hamiltonian Monte Carlo', by Jakob Robnik, G. Bruno De Luca, Eva Silverstein, Uroš Seljak.
http://jmlr.org/papers/v24/22-1450.html
#microcanonical #langevin #hamiltonian
in many ways, #mathematical #physics is based on the #smoothing properties of the #integral
#integrableSystems #mathematicalPhysics #complexAnalysis #spectralTheory #harmonicAnalysis #functionalAnalysis #mathematicalAnalysis #differentialEquations #ODEs #PDEs #SDEs #DEs #equations #BrownianMotion #LangevinDynamics #dynamics #Langevin #StochasticDifferentialEquations #StochasticProcesses #WienerProcess #OrnsteinUhlenbeck #HarmonicOscillator #WaveEquation #Newton #Newtonian #Maxwell #Einstein
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami
Action editor: Jasper Snoek.
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow
Carles Domingo-Enrich, Aram-Alexandre Pooladian
Action editor: Murat Erdogdu.
On Convergence of Federated Averaging Langevin Dynamics
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow
Mean-Field Langevin Dynamics : Exponential Convergence and Annealing
Lénaïc Chizat