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Dive into the research topics where Majid Janzamin is active.

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Featured researches published by Majid Janzamin.


wireless communications and networking conference | 2010

A Game-Theoretic Approach for Power Allocation in Bidirectional Cooperative Communication

Majid Janzamin; Mohammad Reza Pakravan; Hanie Sedghi

Cooperative communication exploits wireless broadcast advantage to confront the severe fading effect on wireless communications. Proper allocation of power can play an important role in the performance of cooperative communication. In this paper, we propose a distributed game-theoretical method for power allocation in bidirectional cooperative communication networks. In this work, we consider two nodes as data sources who want to cooperate in sending data to the destination. In addition to being data source, each source node has to relay the others data. We answer the question: How much power each node contributes for relaying other nodes data? We use Stackelberg game which is an extensive-form game to find a solution to this problem. The proposed method reaches equilibrium in only one stage. It is shown that there are more benefits when bidirectional cooperation is done between node pairs who are closer to each other. Simulation results show that the proposed method leads to fair solution and the nodes farther to the destination should contribute more power to cooperate with others.


arXiv: Learning | 2017

Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods

Majid Janzamin; Hanie Sedghi; Anima Anandkumar


arXiv: Learning | 2014

Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-

Animashree Anandkumar; Rong Ge; Majid Janzamin


conference on learning theory | 2015

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Animashree Anandkumar; Rong Ge; Majid Janzamin


Journal of Machine Learning Research | 2017

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Animashree Anandkumar; Rong Ge; Majid Janzamin


Journal of Machine Learning Research | 2015

Learning Overcomplete Latent Variable Models through Tensor Methods

Animashree Anandkumar; Daniel J. Hsu; Majid Janzamin; Sham M. Kakade


arXiv: Learning | 2017

Analyzing tensor power method dynamics in overcomplete regime

Animashree Anandkumar; Rong Ge; Majid Janzamin


Archive | 2014

When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity

Anima Anandkumar; Rong Ge; Majid Janzamin


international conference on artificial intelligence and statistics | 2016

Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods

Hanie Sedghi; Majid Janzamin; Anima Anandkumar


Archive | 2015

Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete Latent Variable Models.

Majid Janzamin; Hanie Sedghi; Anima Anandkumar

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Hanie Sedghi

University of Southern California

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U. N. Niranjan

University of California

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