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MOLEI TAO
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Name
Affiliation
Papers
MOLEI TAO
CALTECH, Pasadena, CA 91125 USA
14
Collaborators
Citations
PageRank
22
16
5.64
Referers
Referees
References
38
107
68
Search Limit
100
107
Publications (14 rows)
Collaborators (22 rows)
Referers (38 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
0
0.34
2022
Sqrt(d) Dimension Dependence of Langevin Monte Carlo
0
0.34
2022
Variational Symplectic Accelerated Optimization on Lie Groups
0
0.34
2021
Data-Driven Prediction Of General Hamiltonian Dynamics Via Learning Exactly-Symplectic Maps
0
0.34
2021
AhKin: A modular and efficient code for the Doppler shift attenuation method.
0
0.34
2020
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
0
0.34
2020
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective
0
0.34
2020
Data-driven multiscale decompositions for forecasting and model discovery.
0
0.34
2019
Simply improved averaging for coupled oscillators and weakly nonlinear waves
0
0.34
2019
Explicit high-order symplectic integrators for charged particles in general electromagnetic fields.
0
0.34
2016
Convex Optimal Uncertainty Quantification
2
0.36
2015
Variational integrators for electric circuits
2
0.50
2013
Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids
0
0.34
2013
Nonintrusive and Structure Preserving Multiscale Integration of Stiff ODEs, SDEs, and Hamiltonian Systems with Hidden Slow Dynamics via Flow Averaging
12
1.06
2010
1
