Publications

My Google Scholar Page

Book Chapters

  • J.-S. Pang and M. Razaviyayn, “A Unified Distributed Algorithms for Non-Cooperative Games,” in Big Data over Networks, S. Cui, A. Hero, Z.-Q. Luo, and J. M. F. Moura, Editors, Cambridge Univ. Press, 2015

Patents

  • M. Razaviyayn, H. Baligh, A. Callard, and Z.-Q. Luo, “System and Method for Transceiver Design,” US patent, 2012
  • Z.-Q. Luo, H. Baligh, and M. Razaviyayn, “System and Method for Transceivers in a Wireless Network,” US patent, 2013
  • M. Razaviyayn, H. Baligh, A. Callard, and Z.-Q. Luo, “Robust Transceiver Design,” US patent, 2013
  • R. Sun, M. Hong, M. Baligh, Z.-Q. Luo, and M. Razaviyayn, “System and Method for Transmission Point (TP) Association and Beamforming Assignment in Heterogeneous Networks,” US patent, 2013

Journal and Conference Publications:

 

2019:

  • S. Baharlouei, M. Razaviyayn, J. Guo, E. Tseng, D. Tse, “CONVEX: De novo Transcriptome Error Correction by Convexification,” in preparation, 2019.
  • M. Nouiehed and M. Razaviyayn, “Convergence to Second-Order Stationarity for Constrained Non-Convex Optimization,” in preparation, 2019.
  • M. Nouiehed, M. Sanjabi,  M. Razaviyayn, and J. D. Lee “Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods,” submitted, 2019.

2018:

  • M. Nouiehed and M. Razaviyayn, “Learning Deep Models: Critical Points and Local Openness”, in preparation, 2017.
  • Z. I. Chowdhury, S. K. Khatamifard, Z. Zhao, M. Zabihi, S.  Resch,  M. Razaviyayn, J. P.  Wang, S. Sapatnekar, and U. R.  Karpuzcu, submitted, available at arXiv:1812.08918, 2018.
  • H. Mohammadi, M. Razaviyayn, and M. R. Jovanović, “Variance Amplification of Accelerated First-Order Algorithms for Strongly Convex Quadratic Optimization Problems,”  IEEE Conference on Decision and Control (CDC), pp. 5753-5758, 2018.
  • A. Aubry, A. De Maio, A. Zappone, M. Razaviyayn, and Z.-Q. Luo, “A New Sequential Optimization Procedure and its Applications to Resource Allocation for Wireless Systems,” IEEE Transactions on Signal Processing, 66(24), pp. 6518-6533, 2018.
  • M. Razaviyayn, M. Hong, M. Reyhanian, and Z.-Q. Luo, “A Doubly Stochastic Gauss-Seidel Algorithm for Solving Linear Equations and Certain Convex Minimization Problems,” submitted, available at arXiv:1810.05251, 2018.
  • M. Nouiehed, M. Razaviyayn, and J. D. Lee, “Convergence to Second-Order Stationarity for Constrained Non-Convex Optimization,” submitted, available at arXiv:1810.02024, 2018.
  • B. Barazandeh and M. Razaviyayn, “On the Behavior of the Expectation-Maximization Algorithm for Mixture Models,” IEEE Global Conference on Signal and Information Processing (GlobalSip), 2018.
  • H. Mohammadi, M. Razaviyayn, and M. R. Jovanović, “On the Stability of Gradient Flow Dynamics for a Rank-One Matrix Approximation Problem,” IEEE Annual American Control Conference (ACC), pp. 4533-4538, 2018.
  • M. Nouiehed and M. Razaviyayn, “Learning Deep Models: Critical Points and Local Openness”, submitted, available at arxiv:1803.02968, 2018.
  • M. Hong, M. Razaviyayn, and J. D. Lee, “Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks,” In International Conference on Machine Learning (ICML), 2018.
  • M. J. Zhang, M. Razaviyayn, and D. Tse, “Minimax Optimality of Sign Test for Paired Heterogeneous Data”, submitted available at arXiv:1801.04005, 2018.
  • M. Sanjabi, J. Ba, M. Razaviyayn, and J. D. Lee, “On the Convergence and Robustness of Training GANs with Regularized Optimal Transport”, Advances in Neural Information Processing Systems (NeurIPS), pp. 7091-7101, 2018.
  • M. Nouiehed, J.-S. Pang, and M. Razaviyayn. “On the Pervasiveness of Difference-Convexity in Opti- mization and Statistics,” Math Programming Series B, pp. 1-28, 2018.

2017:

  • Q Shi, H Sun, S Lu, M Hong, M Razaviyayn, “Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization,” IEEE Transactions on Signal Processing, pp. 5995-6008, 2017.
  • A. Beirami, M. Razaviyayn, S. Shahrampour, and V. Tarokh, “Optimal Generalizability in Parametric Learning,” Advances in Neural Information Processing Systems (NIPS), 2017
  • M Hong, X Wang, M Razaviyayn, Z.-Q. Luo, “Iteration Complexity Analysis of Block Coordinate Descent Methods,” Math Programming, 2017.
  • Q Shi, H Sun, S Lu, M Hong, M Razaviyayn, “Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization,” IEEE Transactions on Signal Processing, pp. 5995-6008, 2017.
  • S. K. Khatamifard, Z. Chowdhury, N. Pande, M. Razaviyayn, C. Kim, C., and U. R. Karpuzcu, “A Non-volatile Near-Memory Read Mapping Accelerator,” submitted, available at arXiv:1709.02381, 2018.

< 2017: 

  • Q. Shi, M. Razaviyayn, M. Hong, Z.-Q. Luo, “SINR Constrained Beamforming for a MIMO Multi-user Downlink System,” IEEE Transactions on Signal Processing, 2016.
  • J.-S. Pang, M. Razaviyayn, and A. Alvarado “Computing B-Stationary Points of Nonsmooth DC Programs,” Mathematics of Operations Research, 2016.
  • M. Razaviyayn, M. Hong, Z.-Q. Luo, J.-S. Pang, “A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data,” IEEE Signal Processing Magazine, 2016.
  • M. Razaviyayn, M. Sanjabi, and Z.-Q. Luo, “Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks”, Mathematical Programming Series B, 2016.
  • M. Hong, Z.-Q. Luo, and M. Razaviyayn, “Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems,” SIAM Journal on Optimization, 2016.
  • M. Razaviyayn, F. Farnia, and D. Tse, “Inference and Feature Selection via Maximal Correlation,” Advances in Neural Information Processing Systems (NIPS), 2015.
  • F. Farnia, M. Razaviyayn, S. Kannan, and D. Tse, “Minimum HGR Correlation Principle: From Marginals to Joint Distribution,” IEEE International Symposium on Information Theory (ISIT), 2015.
  • M. Razaviyayn, M. Hong, Z.-Q. Luo, and J.-S. Pang, “Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization,” Advances in Neural Information Processing Systems (NIPS), 2014.
  • M. Sanjabi, M. Hong, M. Razaviyayn, and Z.-Q. Luo, “Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission using Statistical Channel State Information,” Signal Processing Advances in Wireless Communications (SPAWC), 2014.
  • M. Hong, T.-H. Chang, X. Wang, M. Razaviyayn, S. Ma, and Z.-Q. Luo, “A Block Coordinate Descent Method of Multipliers: Convergence Analysis and Applications,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.
  • M. Razaviyayn, H.-W. Tseng, and Z.-Q. Luo, “Dictionary Learning for Sparse Representation: Complexity and Algorithms,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.
  • X. Wang, M. Hong, T.-H. Chang, M. Razaviyayn, and Z.-Q. Luo, “Joint Day-Ahead Power Procurement and Load Scheduling Using Stochastic Alternating Direction Method of Multipliers,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.
  • H. Baligh, M. Hong, W. C. Liao, Z.-Q. Luo, M. Razaviyayn, M. Sanjabi, and R. Sun, “Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach,” IEEE Signal Processing Magazine, 31(6), 56-68, 2014. (Authors are in alphabetical order)
  • M. Sanjabi, M. Razaviyayn, and Z.-Q. Luo, “Optimal Joint Base Station Assignment and Beamforming for Heterogeneous Networks,” IEEE Transactions on Signal Processing, 62(8), 1950-1961, 2014.
  • M. Razaviyayn, H. Baligh, A. Callard, and Z.-Q. Luo, “Joint User Grouping and Transceiver Design in a MIMO Interfering Broadcast Channel,” IEEE Transactions on Signal Processing, 62(1), 85-94, 2014.
  • M. Hong, Z. Xu, M. Razaviyayn, and Z.-Q. Luo, “Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds,” IEEE Journal on Selected Areas in Communications, 31(10), 2013.
  • M. Razaviyayn, M. Hong, and Z.-Q. Luo, “A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization,” SIAM Journal on Optimization, 23(2), 1126-1153, 2013.
  • M. Razaviyayn, M. Hong, and Z.-Q. Luo, “Linear Transceiver Design for a MIMO Interfering Broadcast Channel Achieving Max–Min Fairness,” Signal Processing, 93(12), 3327-3340, 2013.
  • M. Razaviyayn, M. Sanjabi, and Z.-Q. Luo, “A Stochastic Weighted MMSE Approach to Sum Rate Maximization for a MIMO Interference Channel,” Signal Processing Advances in Wireless Communications (SPAWC), 2013.
  • M. Hong, M. Razaviyayn, R. Sun, and Z.-Q. Luo, “Joint Transceiver Design and Base Station Clustering for Heterogeneous Networks,” Asilomar Conference on Signals, Systems, and Computers, 2012 (invited).
  • Q. Shi, M. Razaviyayn, M. Hong, and Z.-Q. Luo, “SINR Constrained Beamforming for a MIMO Multi-user Downlink System,” Asilomar Conference on Signals, Systems, and Computers, 2012 (invited).
  • M. Sanjabi, M. Razaviyayn, Z.-Q. Luo, “Optimal Joint Base Station Assignment and Downlink Beamforming for Heterogeneous Networks,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012.
  • M. Razaviyayn, M. Sanjabi, and Z.-Q. Luo, “Linear Transceiver Design for Interference Alignment: Complexity and Computation,” IEEE Transactions on Information Theory, 58(5), 2896-2910, 2012.
  • M. Razaviyayn, G. Lyubeznik, and Z.-Q. Luo, “On the Degrees of Freedom Achievable Through Interference Alignment in a MIMO Interference Channel,” IEEE Transactions on Signal Processing, 60(2), 812-821, 2012.
  • Q. Shi, M. Razaviyayn, Z.-Q. Luo, and C. He, “An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel,” IEEE Transactions on Signal Processing, 59(9), 4331-4340, 2011.
  • M. Razaviyayn, M. Hong, and Z.-Q. Luo, “Linear Transceiver Design for a MIMO Interfering Broadcast Channel Achieving Max-Min Fairness,” Asilomar Conference on Signals, Systems, and Computers, 2011, (invited).
  • M. Razaviyayn, H. Baligh, A. Callard, Z.-Q. Luo, “Joint Transceiver Design and User Grouping in a MIMO Interfering Broadcast Channel,” 45th Conference on Information Sciences and Systems, 2011.
  • Q. Shi, M. Razaviyayn, Z.-Q. Luo, C. He, “An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011.
  • J. Lei, M. Razaviyayn, E. Song, Z.-Q. Luo, F. Y. Li “Power Allocation in Multi-Channel Cognitive Radio Networks with Channel Assembling,” Signal Processing Advances in Wireless Communications (SPAWC), 2011.
  • M. Razaviyayn, G. Lyubeznik, and Z.-Q. Luo, “On the Degrees of Freedom Achievable Through Interference Alignment in a MIMO Interference Channel,” Signal Processing Advances in Wireless Communications (SPAWC), 2011.
  • M. Razaviyayn, Z.-Q. Luo, P. Tseng, and J.-S. Pang, “A Stackelberg Game Approach to Distributed Spectrum Management,” Mathematical programming, 129(2), 197-224, 2011.
  • M. Razaviyayn, Y. H. Morin, and Z.-Q. Luo, “A Stackelberg Game Approach to Distributed Spectrum Management,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010.
  • M. Razaviyayn, M. S. Boroujeni, Z.-Q. Luo, “Linear Transceiver Design for Interference Alignment: Complexity and Computation,” Signal Processing Advances in Wireless Communications (SPAWC), 2010 (Shortlisted for SPAWC 2010s Best Student Paper Award).