Molei Tao

According to our database1, Molei Tao authored at least 17 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
A Derivative-Free Optimization Method With Application to Functions With Exploding and Vanishing Gradients.
IEEE Control. Syst. Lett., 2021

Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps.
CoRR, 2021

Accurate and Efficient Simulations of Hamiltonian Mechanical Systems with Discontinuous Potentials.
CoRR, 2021

2020
AhKin: A modular and efficient code for the Doppler shift attenuation method.
Comput. Phys. Commun., 2020

Hessian-Free High-Resolution Nesterov Acceleration for Sampling.
CoRR, 2020

Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients.
CoRR, 2020

Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Data-driven multiscale decompositions for forecasting and model discovery.
CoRR, 2019

Simply improved averaging for coupled oscillators and weakly nonlinear waves.
Commun. Nonlinear Sci. Numer. Simul., 2019

Parametric Resonant Control of Macroscopic Behaviors of Multiple Oscillators.
Proceedings of the 2019 American Control Conference, 2019

2016
Explicit high-order symplectic integrators for charged particles in general electromagnetic fields.
J. Comput. Phys., 2016

2015
Convex Optimal Uncertainty Quantification.
SIAM J. Optim., 2015

2013
Variational integrators for electric circuits.
J. Comput. Phys., 2013

Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids.
Proceedings of the American Control Conference, 2013

2010
Nonintrusive and Structure Preserving Multiscale Integration of Stiff ODEs, SDEs, and Hamiltonian Systems with Hidden Slow Dynamics via Flow Averaging.
Multiscale Model. Simul., 2010


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