Quoc Tran-Dinh

发表

Convexity in Source Separation : Models, geometry, and algorithms

Volkan Cevher, Luca Baldassarre, Afsaneh Asaei, 2013, IEEE Signal Processing Magazine.

Composite self-concordant minimization pdf

Volkan Cevher, Anastasios Kyrillidis, Quoc Tran-Dinh, 2013, J. Mach. Learn. Res..

Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax Problems

Lam M. Nguyen, Quoc Tran-Dinh, Deyi Liu, 2020, 2006.15266.

Scalable Sparse Covariance Estimation via Self-Concordance pdf

Volkan Cevher, Anastasios Kyrillidis, Quoc Tran-Dinh, 2014, AAAI.

Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm

Quoc Tran-Dinh, Francisco J. Aragón Artacho, Rubén Campoy, 2020, Vietnam journal of mathematics.

A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization

Volkan Cevher, Quoc Tran-Dinh, Olivier Fercoq, 2015, SIAM J. Optim..

Non-stationary Douglas–Rachford and alternating direction method of multipliers: adaptive step-sizes and convergence

Dirk A. Lorenz, Quoc Tran-Dinh, Q. Tran-Dinh, 2018, Comput. Optim. Appl..

Non-stationary First-Order Primal-Dual Algorithms with Faster Convergence Rates

Quoc Tran-Dinh, Yuzixuan Zhu, Q. Tran-Dinh, 2019, SIAM J. Optim..

Self-concordant inclusions: a unified framework for path-following generalized Newton-type algorithms

Quoc Tran-Dinh, Shu Lu, Tianxiao Sun, 2017, Mathematical Programming.

Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval

Volkan Cevher, Alp Yurtsever, Ya-Ping Hsieh, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning pdf

Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, 2020, AISTATS.

Shuffling Gradient-Based Methods with Momentum pdf

Lam M. Nguyen, Quoc Tran-Dinh, Trang H. Tran, 2020, ArXiv.

Barrier smoothing for nonsmooth convex minimization

Volkan Cevher, Quoc Tran-Dinh, Yen-Huan Li, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function

Quoc Tran-Dinh, Deyi Liu, Lam Nguyen, 2020, NeurIPS.

Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization

Lam M. Nguyen, Quoc Tran-Dinh, Nhan H. Pham, 2020, ICML.

Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization

Volkan Cevher, Quoc Tran-Dinh, V. Cevher, 2018 .

Convergence Analysis of Homotopy-SGD for non-convex optimization pdf

Moritz Diehl, Andrea Zanelli, Frank Hutter, 2020, ArXiv.

A Globally Convergent Penalty-Based Gauss-Newton Algorithm with Applications.

Anthony Papavasiliou, Ion Necoara, Quoc Tran-Dinh, 2020 .

Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion

Michael R. Kosorok, Yufeng Liu, Quoc Tran-Dinh, 2020, J. Comput. Graph. Stat..

Computational Complexity of Inexact Gradient Augmented Lagrangian Methods: Application to Constrained MPC

Ion Necoara, Quoc Tran-Dinh, Valentin Nedelcu, 2013, SIAM J. Control. Optim..

Adaptive inexact fast augmented Lagrangian methods for constrained convex optimization

Ion Necoara, Quoc Tran-Dinh, Andrei Patrascu, 2015, Optim. Lett..

Simplicial Nonnegative Matrix Tri-factorization: Fast Guaranteed Parallel Algorithm

Tu Bao Ho, Quoc Tran-Dinh, Duy Khuong Nguyen, 2016, ICONIP.

Adaptive smoothing algorithms for nonsmooth composite convex minimization

Quoc Tran-Dinh, Q. Tran-Dinh, 2015, Comput. Optim. Appl..

An Inexact Proximal Path-Following Algorithm for Constrained Convex Minimization

Volkan Cevher, Anastasios Kyrillidis, Quoc Tran-Dinh, 2013, SIAM J. Optim..

A Unified Convergence Analysis for Shuffling-Type Gradient Methods pdf

Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, 2020, ArXiv.

A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization pdf

Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, 2019, ArXiv.

Convex Block-sparse Linear Regression with Expanders - Provably pdf

Volkan Cevher, Anastasios Kyrillidis, Luca Baldassarre, 2016, AISTATS.

A Newton Frank–Wolfe method for constrained self-concordant minimization pdf

Quoc Tran-Dinh, Volkan Cevher, Deyi Liu, 2020, Journal of Global Optimization.

An adaptive primal-dual framework for nonsmooth convex minimization

Volkan Cevher, Quoc Tran-Dinh, Olivier Fercoq, 2018, Mathematical Programming Computation.

Robust multicategory support matrix machines

Changliang Zou, Quoc Tran-Dinh, Sheng Fu, 2019, Math. Program..

Composite Convex Minimization Involving Self-concordant-Like Cost Functions

Volkan Cevher, Quoc Tran-Dinh, Yen-Huan Li, 2015, MCO.

ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization pdf

Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, 2019, J. Mach. Learn. Res..

Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates

Quoc Tran-Dinh, Q. Tran-Dinh, 2018, NeurIPS.

Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes pdf

Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, 2020, ArXiv.

Constrained convex minimization via model-based excessive gap

Volkan Cevher, Quoc Tran-Dinh, V. Cevher, 2014, NIPS.

A single-phase, proximal path-following framework

Volkan Cevher, Anastasios Kyrillidis, Quoc Tran-Dinh, 2016, Math. Oper. Res..

A primal-dual framework for mixtures of regularizers

Volkan Cevher, Luca Baldassarre, Baran Gözcü, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Sieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs

Gábor Pataki, Quoc Tran-Dinh, Yuzixuan Zhu, 2017, Mathematical Programming Computation.

Transferring Optimality Across Data Distributions via Homotopy Methods

Moritz Diehl, Andrea Zanelli, Frank Hutter, 2020, ICLR.

Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise pdf

Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, 2020, ArXiv.

A Universal Primal-Dual Convex Optimization Framework

Volkan Cevher, Alp Yurtsever, Quoc Tran-Dinh, 2015, NIPS.

Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization

Volkan Cevher, Quoc Tran-Dinh, Olivier Fercoq, 2017, NIPS.

Contraction Estimates for Abstract Real-Time Algorithms for NMPC

Moritz Diehl, Andrea Zanelli, Quoc Tran-Dinh, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Generalized self-concordant functions: a recipe for Newton-type methods

Quoc Tran-Dinh, Tianxiao Sun, Q. Tran-Dinh, 2017, Mathematical Programming.

A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions

Volkan Cevher, Anastasios Kyrillidis, Quoc Tran-Dinh, 2013, ICML.

Composite convex optimization with global and local inexact oracles

Ion Necoara, Quoc Tran-Dinh, Tianxiao Sun, 2018, Comput. Optim. Appl..

Structured Sparsity: Discrete and Convex approaches pdf

Volkan Cevher, Anastasios Kyrillidis, Luca Baldassarre, 2015, ArXiv.

Proximal alternating penalty algorithms for nonsmooth constrained convex optimization

Quoc Tran-Dinh, Q. Tran-Dinh, Quoc Tran-Dinh, 2017, Computational Optimization and Applications.

An Inexact Interior-Point Lagrangian Decomposition Algorithm with Inexact Oracles

Quoc Tran-Dinh, Deyi Liu, Q. Tran-Dinh, 2019, Journal of Optimization Theory and Applications.

A New Homotopy Proximal Variable-Metric Framework for Composite Convex Minimization

Kim-Chuan Toh, Quoc Tran-Dinh, Ling Liang, 2018, Math. Oper. Res..

FedDR - Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization

Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, 2021, NeurIPS.

A unified convergence rate analysis of the accelerated smoothed gap reduction algorithm

Quoc Tran-Dinh, Q. Tran-Dinh, Quoc Tran-Dinh, 2021, Optimization Letters.

A Lyapunov function for the combined system-optimizer dynamics in inexact model predictive control

Moritz Diehl, Andrea Zanelli, Quoc Tran-Dinh, 2020, Autom..

Federated Learning with Randomized Douglas-Rachford Splitting Methods pdf

Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, 2021, ArXiv.

Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions

Quoc Tran-Dinh, Yang Luo, Q. Tran-Dinh, 2021, 2110.08150.

Minimization of a class of rare event probabilities and buffered probabilities of exceedance

Yang Yu, Amarjit Budhiraja, Quoc Tran-Dinh, 2019, Annals of Operations Research.

Extended Gauss-Newton and Gauss-Newton-ADMM Algorithms for Low-Rank Matrix Optimization

Quoc Tran-Dinh, Q. Tran-Dinh, Zheqi Zhang, 2016, 1606.03358.

Construction and Iteration-Complexity of Primal Sequences in Alternating Minimization Algorithms

Quoc Tran-Dinh, Q. Tran-Dinh, 2015, 1511.03305.

An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization

Lam M. Nguyen, Quoc Tran-Dinh, Deyi Liu, 2020, 2008.09055.

Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax Problems

Lam M. Nguyen, Quoc Tran-Dinh, Deyi Liu, 2020, 2006.15266.

A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning pdf

Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, 2020, AISTATS.

A new splitting method for solving composite monotone inclusions involving parallel-sum operators

Quoc Tran-Dinh, Bang Cong Vu, B. Vu, 2015 .

Accelerated Primal-Dual Algorithms for a Class of Convex-Concave Saddle-Point Problems with Non-Bilinear Coupling Term

Quoc Tran-Dinh, Deyi Liu, Yuzixuan Zhu, 2020, 2006.09263.