Publications

Some of my publications can be downloaded here, some others are not available online. To request any papers in electronic format, please contact me. Here is my google scholar


Working and submitted papers


  1. Manuscript – STAT & OR – UNC, November 2017:
  2. Manuscript – STAT & OR – UNC, October 2017:
  3. Manuscript – STAT & OR – UNC, August 2017:
    • Author: Q. Tran-Dinh
    • Title: A new inexact homotopy proximal Newton algorithms for scalar parametric composite convex minimization.
    • Status: submitted.
    • Preprint: will be available soon on Arxiv.
  4. Manuscript – STAT & OR – UNC, March 2017:
    • Authors: T. Sun and Q. Tran-Dinh
    • Title: Generalized self-concordant functions: A recipe for Newton-type methods.
    • Status: online on arxiv.org (submitted).
    • Preprint: https://arxiv.org/pdf/1703.04599.pdf [pdf]
  5. Manuscript – STAT & OR – UNC, October 2016:
    • Authors: Q. Tran-Dinh, T. Sun, and S. Lu
    • Title: Self-concordant inclusions: A unified framework for proximal path-following generalized Newton algorithms.
    • Status: submitted, 2016.
    • Preprint: https://arxiv.org/pdf/1707.07403.pdf [pdf]
  6. Manuscript – STAT & OR – UNC, June 2016:
    • Authors: Q. Tran-Dinh, and Z. Zhang
    • Title: Extended Gauss-Newton and Gauss-Newton ADMM algorithms for low-rank matrix optimization.
    • Status: online on arxiv.org
    • Preprint: http://arxiv.org/abs/1606.03358, (Tech. Report), (2016) [pdf].
  7. Manuscript – STAT & OR – UNC, September 2016
    • Authors: Q. Tran-Dinh and V. Cevher
    • Title: Smooth alternating direction methods for nonsmooth constrained convex optimization.
    • Status: submitted
    • Preprint: Online at: http://arxiv.org/pdf/1507.03734.pdf [pdf].

Publications (Peer-reviewed papers sorted by year)

2017

  1. Journal paper:
    • Authors: Q. Tran-Dinh, A. Kyrillidis, and V. Cevher
    • Title: A single-phase, proximal path-following framework
    • Status: Mathematics of Operations Research (MOR), 2017 (accepted).
    • Preprint: http://arxiv.org/abs/1603.01681, (2016) [pdf].
  2. Conference paper (NIPS):
  3. Journal paper:
    • Authors: Q. Tran-Dinh, O. Fercoq, and V. Cevher
    • Title: A smooth primal-dual optimization framework for nonsmooth convex optimization.
    • Journal: SIAM J. Optimization
    • Status: Accepted.
    • Preprint: Online at: http://arxiv.org/pdf/1507.06243.pdf [pdf].
  4. Journal paper.
    • Authors: Q. Tran-Dinh
    • Title: Adaptive Smoothing Algorithms for Nonsmooth Composite Convex Minimization
    • Journal: Computational Optimization and Applications, vol. 66, issue 3, pp. 425–451, 2017.
    • Link: DOI 10.1007/s10589-016-9873-6 [pdf]
    • Preprint: http://arxiv.org/abs/1509.00106, (2015) [pdf].
  5. Journal paper.
    • Authors: A. Patrascu, I. Necoara, and Q. Tran-Dinh
    • Title: Adaptive inexact fast augmented Lagrangian methods for constrained convex optimization
    • Journal: Optimization Letters, Vol. 11, Issue 3, pp. 609–626 (2017).
    • Link: http://link.springer.com/article/10.1007%2Fs11590-016-1024-6[pdf].
    • Preprint: http://arxiv.org/pdf/1505.03175.pdf, (submitted), (2015) [pdf].

2016

  1. Conference paper
    • Authors: D. K. Nguyen, Q. Tran-Dinh, T. B. Ho
    • Title: Simplicial Nonnegative Matrix Tri-Factorization: Fast Guaranteed Parallel Algorithm
    • Proceedings: The 23rd International Conference on Neural Information Processing, ICONIP2016, Kyoto 16-21, 2016, (accepted).
  2. Conference paper
  3. Conference paper (AISTATS)
  4. Journal paper
    • Authors Q. Tran-Dinh, I. Necoara, M. Diehl
    • Title: Fast inexact distributed optimization algorithms for separable convex optimization
    • Journal: Optimization, Vol. 65, No. 2, pp. 325-356, 2016.
    • Link: http://www.tandfonline.com/doi/abs/10.1080/02331934.2015.1044898?src=recsys&journalCode=gopt20
    • Preprint: http://arxiv.org/abs/1107.5841, (2012) [pdf].

2015

  1. Conference paper (NIPS)
  2. Conference paper
    • Authors: Gozcu, B. and Baldassarre, L., Tran-Dinh, Q., Aprile, C. and Cevher, V.
    • Title: A Primal-dual Framework For Mixtures Of Regularisers
    • Proceedings: Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), 2015.
  3. Book chapter
    • Authors: Kyrillidis, Anastasios and Baldassarre, Luca and El Halabi, Marwa and Tran-Dinh, Quoc and Cevher, Volkan
    • Title: Structured Sparsity: Discrete and Convex Approaches
    • Book: Compressed Sensing and its Applications: MATHEON Workshop 2013, pp. 341–378, (2015), Birkhauser.
  4. Book chapter
    • Authors: Q. Tran-Dinh, Y.-H. Li, and V. Cevher
    • Title: Composite Convex Minimization Involving Self-concordant-Like Cost Functions
    • Book: Modelling, Computation and Optimization in Information Systems and Management Sciences, Advances in Intelligent Systems and Computing, Vol. 359, 2015, pp. 155–168. Available at: http://link.springer.com/chapter/10.1007/978-3-319-18161-5_14
    • Link: This links to the paper [pdf]
    • Preprint: http://arxiv.org/pdf/1502.01068.pdf ([pdf]).
  5. Conference paper (AISTATS)
    • Authors: S. Srivastava, V. Cevher, Q. Tran-Dinh and D. B. Dunson.
    • Title: WASP: Scalable Bayes via barycenters of subset posteriors
    • Proceedings: Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS) 2015, San Diego, CA, USA. JMLR: W&CP volume 38, (2015).
  6. Journal paper
    • Authors: Q. Tran-Dinh, Anastasios Kyrillidis, and Volkan Cevher
    • Title: Composite Self-concordant minimization
    • Journal: Journal of Machine Learning Research (JMLR), 16(Mar):371−416, 2015.
    • Link: http://www.jmlr.org/papers/volume16/trandihn15a/trandihn15a.pdf [pdf].
    • Preprint: http://arxiv.org/abs/1308.2867 [pdf]

2014

  1. Conference paper (NIPS)
    • Authors: Q. Tran-Dinh and V. Cevher
    • Title: Constrained convex minimization via model-based excessive gap
    • Proceedings: Proceedings of the annual conference on Neural Information Processing Systems Foundation (NIPS), Montreal, Canada, (2014).
  2. Conference paper (AAAI)
    • Authors: A. Kyrillidis, R.K. Mahabadi, Q. Tran-Dinh and V. Cevher
    • Title: Scalable sparse covariance estimation via self-concordance
    • Proceedings: Proceedings of the 28th AAAI Conference on Artificial Intelligence, Quebec, Canada, (2014).
  3. Conference paper
    • Authors: Q. Tran-Dinh, Y.H.Li and V. Cevher.
    • Title: Barrier Smoothing for Nonsmooth Convex Minimization
    • Proceedings: Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, (2014).
  4. Journal paper
    • Authors: Q. Tran-Dinh, Anastasios Kyrillidis and Volkan Cevher
    • Title: An Inexact Proximal Path-Following Algorithm for Constrained Convex Minimization
    • Journal: SIAM J. Optimization, vol. 24, no. 4, pages 1718–1745, (2014), Preprint is available at:
    • Preprint: http://arxiv.org/abs/1311.1756 [pdf]
  5. Journal paper
    • Authors: V. Nedelcu, I. Necoara and Q. Tran-Dinh
    • Title: Computational Complexity of Inexact Gradient Augmented Lagrangian Methods: Application to Constrained MPC
    • Journal: SIAM J. Optimization and Control, vol. 52, no. 5, pages 3109–3134, 2014. Preprint: http://arxiv.org/abs/1302.4355 [pdf].
  6. Journal paper
    • Authors: M. B. McCoy, V. Cevher, Q. Tran-Dinh, A. Asaei, L. Baldassarre
    • Title: Convexity in source separation: Models, geometry, and algorithms
    • Journal: Signal Processing Magazine, Vol. 31, No. 3, pages 87–95, 2014.
    • Preprint: http://arxiv.org/abs/1311.0258 [pdf]
  7. Journal paper
    • Authors: Q. Tran-Dinh, I. Necoara and M. Diehl
    • Title: Path-Following Gradient-Based Decomposition Algorithms For Separable Convex Optimization
    • Journal: Journal of Global Optimization, Vol. 59, No. 1, pp. 59–80, 2014.
    • Link: http://link.springer.com/article/10.1007%2Fs10898-013-0085-7,  [pdf] or at [pdf].
  8. Journal paper
    • Authors: Signoretto M., Tran-Dinh Q., De Lathauwer L., Suykens J.A.K.
    • Title: Learning with Tensors: a Framework Based on Convex Optimization and Spectral Regularization
    • Journal: Machine Learning, vol. 95, no. 3, pp. 303–351, 2014.
    • Link: http://link.springer.com/article/10.1007%2Fs10994-013-5366-3

2013

  1. Journal paper
    • Authors: Debrouwere, F., Van Loock, W., Pipeleers, G., Tran-Dinh, Q., Diehl, M., De Schutter, J., Swevers, J.
    • Title: Time-Optimal Path Following for Robots with Convex-Concave Constraints using Sequential Convex Programming
    • Journal:  IEEE Transactions on Robotics, Vol. 99, No. 6, pp. 1485–1495, 2013
    • Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=arnumber=6634254 [pdf]
  2. Conference paper (ICML)
    • Authors: Q. Tran-Dinh, Anastasios Kyrillidis and Volkan Cevher
    • Title: A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
    • Proceedings: In Proc. of the International Conference on Machine Learning (ICML)
    • Link: http://icml.cc/2013/?page_id=876,(2013) [pdf].
  3. Conference paper (CDC)
    • Authors: Q. Tran-Dinh, I. Necoara and M. Diehl
    • Title: A dual decomposition algorithm for separable nonconvex optimization using the penalty function framework
    • Proceedings: Proceedings of the Conference on Decision and Control (CDC), pp. 2372–2377, (2013).
    • Link: The pdf is here [pdf]
  4. Conference paper
    • Authors: Debrouwere, F., Van Loock, W., Pipeleers, G., Tran-Dinh, Q., Diehl, M., De Schutter, J., Swevers, J.
    • Title: Time-Optimal Path Following for Robots with Trajectory Jerk Constraints using Sequential Convex Programming. 
    • Proceedings: IEEE International Conference on Robotics and Automation (ICRA). IEEE International Conference on Robotics and Automation. Karlsruhe, Germany, 6-10 May 2013 (pp. 1908-1913).
  5. Conference paper
    • Authors: Debrouwere, F., Van Loock, W., Pipeleers, G., Tran-Dinh, Q., Diehl, M., De Schutter, J., Swevers, J.
    • Title: Optimal Robot Path Following for Minimal Time versus Energy Loss Trade-Off using Sequential Convex Programming.
    • Proceedings: IEEE International Conference on Mechatronics. Vicenza, Italy, February 27 – March 1, 2013.
  6. Journal paper
    • Authors: Q. Tran-Dinh, I. Necoara, C. Savorgnan and M. Diehl
    • Title: An inexact perturbed path-following method for Lagrangian decomposition in large-scale separable convex optimization
    • Journal: SIAM J. Optimization, vol. 23, no. 1 (2013), pp. 95-125.
    • Preprint: http://arxiv.org/abs/1109.3323, 2011 [pdf].

2012

  1. Journal paper
    • Authors: Q. Tran-Dinh, C. Savorgnan and M. Diehl
    • Title: Adjoint-based predictor-corrector sequential convex programming for parametric nonlinear optimization
    • Journal: SIAM Journal on Optimization, Vol. 22, No. 4, pp. 1258–1284, ,2012
    • Link: http://epubs.siam.org/doi/abs/10.1137/110844349 [pdf]
    • Preprint: http://arxiv.org/abs/1109.2800 [pdf].
  2. Conference paper
    • Authors: Debrouwere, F., Van Loock, W., Pipeleers, G., Tran-Dinh, Q., Diehl, M., De Schutter, J., Swevers, J.
    • Title: Time-optimal robot path following with Cartesian acceleration constraints: a convex optimization approach.
    • Proceedings: The 13th Mechatronics Forum International Conference: Vol. 2 (3). Mechatronics Forum International Conference. Linz, Austria, 17-19 September 2012 (pp. 469-475).
  3. Journal paper
    • Authors: Q. Tran-Dinh, C. Savorgnan and M. Diehl
    • Title: Combining Lagrangian Decomposition and Excessive Gap Smoothing Technique for Solving Large-Scale Separable Convex Optimization Problems
    • Journal: Computational Optimization and Applications, vol. 55, no. 1, pp. 75–111, 2012
    • Link: http://link.springer.com/article/10.1007%2Fs10589-012-9515-6 [online]
    • Preprint: http://arxiv.org/abs/1105.5427.
  4. Journal paper
    • Authors: Q. Tran-Dinh, S. Gumussoy, W. Michiels and M. Diehl
    • Title: Combining convex-concave decompositions and linearization approaches for solving BMIs, with application to static output feedback
    • Journal: IEEE Transactions on Automatic Control, vol. 57, No. 6, pp. 1377–1390, 2012 (regular paper)
    • Preprint: http://arxiv.org/abs/1109.3320
  5. Conference paper (CDC)
    • Authors: Q. Tran-Dinh, W. Michiels, S. Gros and M. Diehl
    • Title: An inner convex approximation algorithm for BMI optimization and applications in control
    • Proceedings: Proc. of the 51st IEEE Conference on Decision and Control (CDC)
    • Preprint: http://arxiv.org/abs/1202.5488, (2012) [pdf].
  6. Journal paper
    • Authors: M. Le Dung, Q. Tran-Dinh, H.A. Le Thi and T. Pham Dinh
    • Title: Decomposition algorithms for globally solving mathematical programs with affine equilibrium constraints,
    • Journal: Acta Mathematica Vietnamica, Vol. 37, No. 2, pp. 201–218, 2012
    • Preprint: http://arxiv.org/abs/1105.3343 [pdf].
  7. Journal paper
    • Authors: Q. Tran-Dinh, A. Pham Ngoc, and M. Le Dung
    • Title: Dual extragradient algorithms extended to equilibrium problems  Journal: Journal of Global Optimization, Vol. 52, No. 1, pp. 139–159, (2012)
    • Link: http://link.springer.com/article/10.1007%2Fs10898-011-9693-2 [pdf].

2011

  1. Conference paper (CDC)
    • Authors: Q. Tran-Dinh, C. Savorgnan and M. Diehl
    • Title: Real-Time Sequential Convex Programming for Nonlinear Model Predictive Control and Application to a Hydro-Power Plant 
    • Proceedings: Proc. of the 50th IEEE Conference on Decision and Control (CDC), Orlando, Florida, USA, 2011
    • Link: Can be found here [pdf].
  2. Journal paper
    • Authors: Q. Tran-Dinh and M. Le Dung
    • Title: A splitting proximal point method for Nash-Cournot equilibrium models involving nonconvex cost functions 
    • Journal: Journal of Nonlinear and Convex Analysis, Vol. 12, No. 3, pp. 519–533, 2011.
    • Link: http://www.ybook.co.jp/online2/opjnca/vol12/p519.html [pdf].

2o1o

  1. Book chapter
    • Authors: Q. Tran-Dinh and M. Diehl
    • Title: Local convergence of sequential convex programming for nonlinear programming
    • Book: Diehl, M.; Glineur, F.; Jarlebring, E.; Michiels, W. (Eds.), Recent advances in optimization and its application in engineering, Springer-Verlag, pp. 93–102 (2010)
    • Link:  http://link.springer.com/chapter/10.1007%2F978-3-642-12598-0_9#page-1 [pdf].
  2. Journal paper
    • Authors: Q. Tran-Dinh and M. Le Dung
    • Title: Iterative methods for solving monotone equilibrium problems via dual gap functions
    • Journal: Computational Optimization and Applications, Vol. 51, No. 2, pp. 709–728 (2010)
    • Link: http://link.springer.com/article/10.1007%2Fs10589-010-9360-4#page-1 [pdf].
  3. Journal paper
    • Authors: M. Le Dung and Q. Tran-Dinh
    • Title: One step from DC optimization to DC mixed variational inequalities
    • Journal: Optimization, Vol. 59, No 1, 63-76 (2010)
    • Link:http://www.tandfonline.com/doi/abs/10.1080/02331930903500282#.U6c0qBZbz1o [pdf].

2009

  1. Book chapter
    • Authors: Q. Tran-Dinh, C. Savorgnan and M. Diehl
    • Title: Real-time sequential convex programming for optimal control applications
    • Book: In: H.G. Bock, P. Hoang Xuan et al (Eds.), Modeling, Simulation and Optimization of Complex Processes, Springer-Verlag, (2009).
    • Preprint: http://arxiv.org/abs/1105.3427 ([pdf]).
  2. Conference paper (CDC)
    • Authors: I. Necoara, C. Savorgnan, Q. Tran-Dinh, J.A.K. Suykens, M. Diehl
    • Title: Distributed Nonlinear Optimal Control Using Sequential Convex Programming and Smoothing Techniques
    • Proceedings: Proc. of the 48th IEEE Conference on Decision and Control (CDC), Shanghai, China, 2009.
    • Link: Can be found here [pdf]
  3. Conference paper (CDC)
    • Authors: Q. Tran-Dinh and M. Diehl
    • Title: An application of sequential convex programming methods to time optimal trajectory planning of a car motion
    • Proceedings: Proc. of the 48th IEEE Conference on Decision and Control (CDC), Shanghai, China, 4366–4371, 2009
    • Link: Can be found here [pdf].
  4. Journal paper
    • Authors: M. Le Dung and Q. Tran-Dinh
    • Title: Regularization algorithms for solving monotone equilibrium problems
    • Journal: Journal of Optimization Theory and Applications, Vol. 124, 185-204 (2009)
    • Link: http://link.springer.com/article/10.1007%2Fs10957-009-9529-0 [pdf].

2008

  1. Journal paper
    • Authors: Q. Tran-Dinh, M. Le Dung, and H. Nguyen Van
    • Title: Extragradient algorithms extended to equilibrium problems
    • Journal: Optimization, Vol.57, 749-776 (2008)
    • Link:http://www.tandfonline.com/doi/abs/10.1080/02331930601122876#.U6c0_xZbz1o [pdf].

 Technical reports and unpublished papers 


  1. Technical Report – STAT & OR – UNC, January 2016
    • Author: Q. Tran-Dinh
    • Title: Construction and Iteration-Complexity of Primal Sequences in Alternating Minimization Algorithms
    • Preprint: http://arxiv.org/abs/1511.03305, (submitted), (2015) [pdf].
  2. Technical Report, August 2014 (EPFL-REPORT-199844)
    • Authors: Q. Tran-Dinh and Volkan Cevher
    • Title: A Primal-Dual Algorithmic Framework for Constrained Convex Minimization (2014).
    • Preprint: http://arxiv.org/abs/1406.5403 [pdf]
  3. Unpublished manuscript
    • Authors: Q. Tran-Dinh and M. Diehl
    • Title: Proximal methods for minimizing the sum of a convex function and a composite function
    • Preprint: http://arxiv.org/abs/1105.0276, (2010) [pdf].
  4. Unpublished manuscript
    • Authors: Q. Tran-Dinh and M. Diehl
    • Title: Sequential Convex Programming Methods for Solving Nonlinear Optimization Problems with DC constraints,
    • Preprint: Online at: http://arxiv.org/abs/1107.5841, (2009) [pdf].

Ph.D. Thesis


  • Author: Q. Tran-Dinh
  • Title: Sequential Convex Programming and Decomposition Approaches for Nonlinear Optimization
  • Year: November 2012
  • Place: Department of Electrical Engineering (ESAT), and Optimization in Engineering Center (OPTEC), KU Leuven, Belgium.
  • Link: https://lirias.kuleuven.be/handle/123456789/359872, November, 2012, [pdf].
  • Preprint: Up on request

Co-authors


Some co-authors of my work are listed here, but not a complete list.

  •  Moritz Diehl – KU Leuven, ESAT and OPTEC, Belgium.
  • Ion Necoara – Automation and System Engineering Department, University Politehnica Bucharest, Romania.
  • Carlo Savorgnan – KU Leuven, ESAT and OPTEC, Belgium.
  • Le Dung Muu – Institute of Mathematics, Hanoi, Vietnam.
  • Pham Ngoc Anh – Posts and Telecommunications Institute of Technology, Hanoi, Vietnam.
  • Nguyen Van Hien – FUNDP Namur, Belgium.
  • Johan Suykens – KU Leuven, ESAT and OPTEC, Belgium.
  • Marco Signoretto – KU Leuven, ESAT and OPTEC, Belgium.
  • Le Thi Hoai An – Universite Paul Verlaine – Metz, France.
  • Pham Dinh Tao – INSA, Rouen, France.
  • Suat Gumussoy – CS Department, KU Leuven, Belgium.
  • Wim Michiels – CS Department, KU Leuven, Belgium.
  • Volkan Cevher – Laboratory for Information and Inference Systems (LIONS), EPFL.
  • Anastasios Kyrillidis – Laboratory for Information and Inference Systems (LIONS), EPFL.

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