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07/06/2023
Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations
Many stochastic processes in the physical and biological sciences can be...
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06/14/2023
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators
In previous work, we introduced a method for determining convergence rat...
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02/21/2023
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
We provide a framework to prove convergence rates for discretizations of...
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06/09/2022
Randomized Time Riemannian Manifold Hamiltonian Monte Carlo
Hamiltonian Monte Carlo (HMC) algorithms which combine numerical approxi...
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06/20/2021
Multirate Training of Neural Networks
We propose multirate training of neural networks: partitioning neural ne...
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06/20/2021
Better Training using Weight-Constrained Stochastic Dynamics
We employ constraints to control the parameter space of deep neural netw...
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12/08/2020
Efficient Numerical Algorithms for the Generalized Langevin Equation
We study the design and implementation of numerical methods to solve the...
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06/17/2020
Constraint-Based Regularization of Neural Networks
We propose a method for efficiently incorporating constraints into a sto...
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08/30/2019
Partitioned integrators for thermodynamic parameterization of neural networks
Stochastic Gradient Langevin Dynamics, the "unadjusted Langevin algorith...
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08/25/2019
Hypocoercivity properties of adaptive Langevin dynamics
Adaptive Langevin dynamics is a method for sampling the Boltzmann-Gibbs ...
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08/25/2019
Hypercoercivity properties of adaptive Langevin dynamics
Adaptive Langevin dynamics is a method for sampling the Boltzmann-Gibbs ...
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03/20/2019
TATi-Thermodynamic Analytics ToolkIt: TensorFlow-based software for posterior sampling in machine learning applications
We describe a TensorFlow-based library for posterior sampling and explor...
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09/13/2018
Simulated Tempering Method in the Infinite Switch Limit with Adaptive Weight Learning
We investigate the theoretical foundations of the simulated tempering me...
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07/13/2016
Ensemble preconditioning for Markov chain Monte Carlo simulation
We describe parallel Markov chain Monte Carlo methods that propagate a c...
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10/29/2015
