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20172023
most citedAdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient

7 citations · 9 across the 7 of their papers we have counts for

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Showing 2022Show all

3 papers · 1 filter

cs.LG2022

Differentially Private Online-to-Batch for Smooth Losses

Qinzi Zhang, Hoang Tran, Ashok Cutkosky

We develop a new reduction that converts any online convex optimization algorithm suffering regret into an -differentially private stochastic convex optimization a…

cs.LG2022

Momentum Aggregation for Private Non-convex ERM

Hoang Tran, Ashok Cutkosky

We introduce new algorithms and convergence guarantees for privacy-preserving non-convex Empirical Risk Minimization (ERM) on smooth -dimensional objectives. We develop an impro…

math.OC2022

Compressive-sensing-assisted mixed integer optimization for dynamical system discovery with highly noisy data

Zhongshun Shi, Hang Ma, Hoang Tran +1

The identification of governing equations for dynamical systems is everlasting challenges for the fundamental research in science and engineering. Machine learning has exhibited gr…