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02/13/2023
Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing
We analyze the convergence of a nonlocal gradient descent method for min...
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01/19/2023
Point Cloud Data Simulation and Modelling with Aize Workspace
This work takes a look at data models often used in digital twins and pr...
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10/12/2022
Differentially Private Online-to-Batch for Smooth Losses
We develop a new reduction that converts any online convex optimization ...
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10/12/2022
Momentum Aggregation for Private Non-convex ERM
We introduce new algorithms and convergence guarantees for privacy-prese...
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02/18/2022
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions
The mercury constitutive model predicting the strain and stress in the t...
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03/04/2021
Correcting Momentum with Second-order Information
We develop a new algorithm for non-convex stochastic optimization that f...
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11/03/2020
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient
The local gradient points to the direction of the steepest slope in an i...
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04/13/2020
Analysis of The Ratio of ℓ_1 and ℓ_2 Norms in Compressed Sensing
We first propose a novel criterion that guarantees that an s-sparse sign...
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02/21/2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy
Evolution strategy (ES) has been shown great promise in many challenging...
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02/07/2020
A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization
We developed a new scalable evolution strategy with directional Gaussian...
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09/16/2019
A Weighted ℓ_1-Minimization Approach For Wavelet Reconstruction of Signals and Images
In this effort, we propose a convex optimization approach based on weigh...
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12/30/2018