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Hoang Tran
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2020 – today
- 2024
- [c7]Qinzi Zhang, Hoang Tran, Ashok Cutkosky:
Private Zeroth-Order Nonsmooth Nonconvex Optimization. ICLR 2024 - [i15]Qinzi Zhang, Hoang Tran, Ashok Cutkosky:
Private Zeroth-Order Nonsmooth Nonconvex Optimization. CoRR abs/2406.19579 (2024) - [i14]Hoang Tran, Qinzi Zhang, Ashok Cutkosky:
Empirical Tests of Optimization Assumptions in Deep Learning. CoRR abs/2407.01825 (2024) - 2023
- [i13]Boris Mocialov, Eirik Eythorsson, Reza Parseh, Hoang Tran, Vegard Flovik:
Point Cloud Data Simulation and Modelling with Aize Workspace. CoRR abs/2301.07947 (2023) - [i12]Hoang Tran, Qiang Du, Guannan Zhang:
Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing. CoRR abs/2302.06404 (2023) - [i11]Armenak Petrosyan, Konstantin Pieper, Hoang Tran:
Orthogonally weighted 𝓁2, 1 regularization for rank-aware joint sparse recovery: algorithm and analysis. CoRR abs/2311.12282 (2023) - 2022
- [c6]Hoang Tran
, Dan Lu
, Guannan Zhang
:
Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack. ECCV (5) 2022: 317-334 - [c5]Hoang Tran, Ashok Cutkosky:
Better SGD using Second-order Momentum. NeurIPS 2022 - [c4]Hoang Tran, Ashok Cutkosky:
Momentum Aggregation for Private Non-convex ERM. NeurIPS 2022 - [c3]Qinzi Zhang, Hoang Tran, Ashok Cutkosky:
Differentially Private Online-to-batch for Smooth Losses. NeurIPS 2022 - [i10]Majdi I. Radaideh
, Hoang Tran, Lianshan Lin, Hao Jiang, Drew Winder, Sarma Gorti, Guannan Zhang, Justin Mach, Sarah Cousineau:
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions. CoRR abs/2202.09353 (2022) - [i9]Hoang Tran, Ashok Cutkosky
:
Momentum Aggregation for Private Non-convex ERM. CoRR abs/2210.06328 (2022) - [i8]Qinzi Zhang, Hoang Tran, Ashok Cutkosky
:
Differentially Private Online-to-Batch for Smooth Losses. CoRR abs/2210.06593 (2022) - 2021
- [c2]Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun
, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim
, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan:
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA 2021: 153-166 - [c1]Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang:
Enabling long-range exploration in minimization of multimodal functions. UAI 2021: 1639-1649 - [i7]Hoang Tran, Ashok Cutkosky:
Correcting Momentum with Second-order Information. CoRR abs/2103.03265 (2021) - 2020
- [i6]Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang:
A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization. CoRR abs/2002.03001 (2020) - [i5]Jiaxing Zhang, Hoang Tran, Guannan Zhang:
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy. CoRR abs/2002.09077 (2020) - [i4]Yiming Xu, Akil Narayan, Hoang Tran, Clayton G. Webster:
Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing. CoRR abs/2004.05873 (2020) - [i3]Hoang Tran, Guannan Zhang:
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient. CoRR abs/2011.02009 (2020)
2010 – 2019
- 2019
- [i2]Joseph Daws Jr., Armenak Petrosyan, Hoang Tran, Clayton G. Webster:
A Weighted 𝓁1-Minimization Approach For Wavelet Reconstruction of Signals and Images. CoRR abs/1909.07270 (2019) - 2018
- [j9]Abdellah Chkifa
, Nick C. Dexter
, Hoang Tran
, Clayton G. Webster:
Polynomial approximation via compressed sensing of high-dimensional functions on lower sets. Math. Comput. 87(311): 1415-1450 (2018) - [i1]Armenak Petrosyan, Hoang Tran, Clayton G. Webster:
Reconstruction of jointly sparse vectors via manifold optimization. CoRR abs/1811.08778 (2018) - 2017
- [j8]Shang Gao
, John Krogstie
, Trond Thingstad, Hoang Tran:
An Empirical Study of the Adoption of an Indoor Location-Based Service: Finding Reading Rooms. Int. J. Technol. Hum. Interact. 13(2): 70-88 (2017) - [j7]Hoang Tran
, Clayton G. Webster
, Guannan Zhang
:
Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients. Numerische Mathematik 137(2): 451-493 (2017) - 2015
- [j6]Nan Jiang
, Hoang Tran
:
Analysis of a Stabilized CNLF Method with Fast Slow Wave Splittings for Flow Problems. Comput. Methods Appl. Math. 15(3): 307-330 (2015) - [j5]Nan Jiang
, Michaela Kubacki, William J. Layton, Marina Moraiti, Hoang Tran
:
A Crank-Nicolson Leapfrog stabilization: Unconditional stability and two applications. J. Comput. Appl. Math. 281: 263-276 (2015) - 2013
- [j4]William J. Layton, Hoang Tran
, Catalin Trenchea:
Analysis of Long Time Stability and Errors of Two Partitioned Methods for Uncoupling Evolutionary Groundwater-Surface Water Flows. SIAM J. Numer. Anal. 51(1): 248-272 (2013) - 2012
- [j3]William J. Layton, Hoang Tran
, Xin Xiong:
Long time stability of four methods for splitting the evolutionary Stokes-Darcy problem into Stokes and Darcy subproblems. J. Comput. Appl. Math. 236(13): 3198-3217 (2012)
2000 – 2009
- 2006
- [j2]George Fein, Bennett A. Landman, Hoang Tran, Jerome Barakos, Kirk Moon, Victoria Di Sclafani, Robert Shumway:
Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs. NeuroImage 30(4): 1187-1195 (2006) - [j1]George Fein, Bennett A. Landman, Hoang Tran, Shannon McGillivray, Peter Finn, Jerome Barakos, Kirk Moon:
Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task. NeuroImage 32(3): 1465-1471 (2006)
Coauthor Index
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last updated on 2024-08-11 00:11 CEST by the dblp team
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