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Found 6 papers, 0 papers with code
On Convergence of the Alternating Directions SGHMC Algorithm
We study convergence rates of Hamiltonian Monte Carlo (HMC) algorithms with leapfrog integration under mild conditions on stochastic gradient oracle for the target distribution (SGHMC).
On Representations of Mean-Field Variational Inference
We present a framework to analyze MFVI algorithms, which is inspired by a similar development for general variational Bayesian formulations.
Neural Network Training with Asymmetric Crosspoint Elements
Analog crossbar arrays comprising programmable nonvolatile resistors are under intense investigation for acceleration of deep neural network training.
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions
Existing rigorous convergence guarantees for the Hamiltonian Monte Carlo (HMC) algorithm use Gaussian auxiliary momentum variables, which are crucially symmetrically distributed.
HMC, an Algorithms in Data Mining, the Functional Analysis approach
The main purpose of this paper is to facilitate the communication between the Analytic, Probabilistic and Algorithmic communities.
On $L^q$ Convergence of the Hamiltonian Monte Carlo
We establish $L_q$ convergence for Hamiltonian Monte Carlo algorithms.
