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Dzung T. Phan
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2020 – today
- 2024
- [c23]Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam, Chandra Reddy:
Multi-polytope Machine for Classification. SDM 2024: 109-117 - [i17]Tsuyoshi Idé, Dzung T. Phan, Rudy Raymond:
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis. CoRR abs/2404.01270 (2024) - [i16]Quan M. Tran, Suong N. Hoang, Lam M. Nguyen, Dzung T. Phan, Hoang Thanh Lam:
TabularFM: An Open Framework For Tabular Foundational Models. CoRR abs/2406.09837 (2024) - 2023
- [c22]Vinícius Lima, Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam:
Optimal Control via Linearizable Deep Learning. ACC 2023: 100-105 - [i15]Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Dzung T. Phan, Roman Vaculín, Jayant Kalagnanam:
An End-to-End Time Series Model for Simultaneous Imputation and Forecast. CoRR abs/2306.00778 (2023) - 2022
- [j15]Lam M. Nguyen
, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, Jayant R. Kalagnanam:
Finite-sum smooth optimization with SARAH. Comput. Optim. Appl. 82(3): 561-593 (2022) - [j14]Jayant Kalagnanam, Dzung T. Phan
AI-Based Real-Time Site-Wide Optimization for Process Manufacturing. INFORMS J. Appl. Anal. 52(4): 363-378 (2022) - [j13]Quoc Tran-Dinh
A hybrid stochastic optimization framework for composite nonconvex optimization. Math. Program. 191(2): 1005-1071 (2022) - [c21]Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy:
Interpretable Clustering via Multi-Polytope Machines. AAAI 2022: 7309-7316 - [c20]Dzung T. Phan, Hongsheng Liu, Lam M. Nguyen:
StepDIRECT - A Derivative-Free Optimization Method for Stepwise Functions. SDM 2022: 477-485 - [i14]Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe:
Cardinality-Regularized Hawkes-Granger Model. CoRR abs/2208.10671 (2022) - 2021
- [j12]Dzung T. Phan
On the Solution of ℓ0-Constrained Sparse Inverse Covariance Estimation Problems. INFORMS J. Comput. 33(2): 531-550 (2021) - [j11]Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk:
A Unified Convergence Analysis for Shuffling-Type Gradient Methods. J. Mach. Learn. Res. 22: 207:1-207:44 (2021) - [c19]Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, Jayant R. Kalagnanam:
Regression Optimization for System-level Production Control. ACC 2021: 5023-5028 - [c18]Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang (Peter) Chin, Trac D. Tran:
A Scale Invariant Measure of Flatness for Deep Network Minima. ICASSP 2021: 1680-1684 - [c17]Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe:
Cardinality-Regularized Hawkes-Granger Model. NeurIPS 2021: 2682-2694 - [c16]Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo:
Ensembling Graph Predictions for AMR Parsing. NeurIPS 2021: 8495-8505 - [c15]Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen:
FedDR - Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization. NeurIPS 2021: 30326-30338 - [i13]Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh:
Federated Learning with Randomized Douglas-Rachford Splitting Methods. CoRR abs/2103.03452 (2021) - [i12]Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo:
Ensembling Graph Predictions for AMR Parsing. CoRR abs/2110.09131 (2021) - [i11]Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy:
Interpretable Clustering via Multi-Polytope Machines. CoRR abs/2112.05653 (2021) - 2020
- [j10]Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh:
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization. J. Mach. Learn. Res. 21: 110:1-110:48 (2020) - [c14]Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh:
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. AISTATS 2020: 374-385 - [c13]Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam:
Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization. ICDM 2020: 1214-1219 - [c12]Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam:
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees. NeurIPS 2020 - [i10]Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk:
A Unified Convergence Analysis for Shuffling-Type Gradient Methods. CoRR abs/2002.08246 (2020) - [i9]Nhan H. Pham
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. CoRR abs/2003.00430 (2020) - [i8]Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam:
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees. CoRR abs/2011.03375 (2020)
2010 – 2019
- 2019
- [c11]Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, Dzung T. Phan:
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD. ICML 2019: 6392-6400 - [c10]Tsuyoshi Idé
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks. IJCAI 2019: 2585-2591 - [c9]Dzung T. Phan, Tsuyoshi Idé
ℓ0-Regularized Sparsity for Probabilistic Mixture Models. SDM 2019: 172-180 - [i7]Lam M. Nguyen
Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH. CoRR abs/1901.07648 (2019) - [i6]Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang H. Chin, Trac D. Tran:
A Scale Invariant Flatness Measure for Deep Network Minima. CoRR abs/1902.02434 (2019) - [i5]Nhan H. Pham, Lam M. Nguyen
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization. CoRR abs/1902.05679 (2019) - [i4]Quoc Tran-Dinh, Nhan H. Pham
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization. CoRR abs/1907.03793 (2019) - 2018
- [i3]Lam M. Nguyen
When Does Stochastic Gradient Algorithm Work Well? CoRR abs/1801.06159 (2018) - [i2]Marten van Dijk, Lam M. Nguyen
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD. CoRR abs/1810.04100 (2018) - 2017
- [c8]Tsuyoshi Idé
Multi-task Multi-modal Models for Collective Anomaly Detection. ICDM 2017: 177-186 - [c7]Dzung T. Phan, Tsuyoshi Idé
A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization. ICDM Workshops 2017: 830-833 - 2016
- [j9]Kevin Warren, Ron F. Ambrosio, Bei Chen, Yuhui Fu, Soumyadip Ghosh, Dzung T. Phan, Mathieu Sinn, Chunhua Tian, Chandu Visweswariah:
Managing uncertainty in electricity generation and demand forecasting. IBM J. Res. Dev. 60(1) (2016) - [j8]William W. Hager, Dzung T. Phan, Jiajie Zhu:
Projection algorithms for nonconvex minimization with application to sparse principal component analysis. J. Glob. Optim. 65(4): 657-676 (2016) - [c6]Dzung T. Phan, Soumyadip Ghosh:
Predicting and mitigating congestion for an electric power system under load and renewable uncertainty. ACC 2016: 6791-6796 - [c5]Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam:
Change Detection Using Directional Statistics. IJCAI 2016: 1613-1619 - 2015
- [j7]Dzung T. Phan, Yada Zhu:
Multi-stage optimization for periodic inspection planning of geo-distributed infrastructure systems. Eur. J. Oper. Res. 245(3): 797-804 (2015) - [c4]Jinjun Xiong
A Resource Supply-Demand based Approach for Automatic MapReduce Job Optimization. HPCC/CSS/ICESS 2015: 740-745 - 2014
- [j6]Dzung T. Phan, Soumyadip Ghosh:
Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty. ACM Trans. Model. Comput. Simul. 24(1): 2:1-2:22 (2014) - 2013
- [j5]William W. Hager, Dzung T. Phan, Hongchao Zhang:
An exact algorithm for graph partitioning. Math. Program. 137(1-2): 531-556 (2013) - 2012
- [j4]Dzung T. Phan:
Lagrangian Duality and Branch-and-Bound Algorithms for Optimal Power Flow. Oper. Res. 60(2): 275-285 (2012) - [j3]Yunmei Chen, William W. Hager, Feng Huang, Dzung T. Phan, Xiaojing Ye, Wotao Yin
Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging. SIAM J. Imaging Sci. 5(1): 90-118 (2012) - [c3]Dzung T. Phan, Jinjun Xiong
A distributed scheme for fair EV charging under transmission constraints. ACC 2012: 1053-1058 - [c2]Dzung T. Phan, Jayant Kalagnanam:
Distributed methods for solving the security-constrained optimal power flow problem. ISGT 2012: 1-7 - 2011
- [j2]William W. Hager, Dzung T. Phan, Hongchao Zhang:
Gradient-Based Methods for Sparse Recovery. SIAM J. Imaging Sci. 4(1): 146-165 (2011) - [c1]Dzung T. Phan, Soumyadip Ghosh:
A two-stage non-linear program for optimal electrical grid power balance under uncertainty. WSC 2011: 4227-4238
2000 – 2009
- 2009
- [j1]William W. Hager, Dzung T. Phan:
An Ellipsoidal Branch and Bound Algorithm for Global Optimization. SIAM J. Optim. 20(2): 740-758 (2009) - [i1]William W. Hager, Dzung T. Phan, Hongchao Zhang:
An exact algorithm for graph partitioning. CoRR abs/0912.1664 (2009)
Coauthor Index
aka: Jayant R. Kalagnanam
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last updated on 2024-09-26 00:57 CEST by the dblp team
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