conftrace_

stochastic differential equation

181 papers

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Also known as

SDE

Co-occurring keywords

diffusion model (3751) stochastic gradient descent (1091) variational inference (2069) neural network (6616) gaussian process (1200) image generation (2073) generative model (2892) markov chain monte carlo (725) score-based generative model (30) diffusion process (68)

Papers

AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations JMLR 2019
A Solvable High-Dimensional Model of GAN NIPS 2019
A Path Signature Approach for Speech Emotion Recognition INTERSPEECH 2019
Neural Jump Stochastic Differential Equations NIPS 2019
Neural Networks with Cheap Differential Operators NIPS 2019
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise NIPS 2019
Learning interpretable continuous-time models of latent stochastic dynamical systems ICML 2019
The Randomized Midpoint Method for Log-Concave Sampling NIPS 2019
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions ICML 2018
Global Non-convex Optimization with Discretized Diffusions NIPS 2018
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018
Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018
Black-Box Variational Inference for Stochastic Differential Equations ICML 2018
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo ICML 2017
Acceleration and Averaging in Stochastic Descent Dynamics NIPS 2017
Linking Micro Event History to Macro Prediction in Point Process Models AISTATS 2017
Efficient and Flexible Inference for Stochastic Systems NIPS 2017
Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms ICML 2017
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes JMLR 2016
Learning and Forecasting Opinion Dynamics in Social Networks NIPS 2016
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes NIPS 2016
Hawkes Processes with Stochastic Excitations ICML 2016
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NIPS 2015
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013