Alexandros G. Dimakis (Alex Dimakis)

Alex Dimakis Photo 

Office: UTA 7.210, UT Austin WNCG,
1616 Guadalupe St. Mail Code: C0806 Austin, Texas 78701
Office ☎ 512-471-3068

dimakis at

I am interested in information theory, coding theory and machine learning. Resume.

Google Scholar Profile.


  • Compressed Sensing using Generative Models (arxiv)
    A. Bora, A. Jalal, E. Price, A. G. Dimakis

  • Gradient Coding (pdf)
    R. Tandon, Q. Lei, A. G. Dimakis, N. Karampatziakis ML Systems Workshop, NIPS 2016. (slides)

  • Entropic Causality paper to appear in AAAI 2017. (Arxiv)
    More information

  • Slides and notes from GraphDay overview talk on graph analytics and machine learning (pdf)

  • Two papers accepted to NIPS 2016:

    • Leveraging Sparsity for Efficient Submodular Data Summarization
      E. Lindgren, S. Wu, A. G. Dimakis (pdf)

    • Single Pass PCA of Matrix Products S. Wu, S. Bhojanapalli, S. Sanghavi, A. G. Dimakis (pdf)

  • Preprint: Restricted Strong Convexity Implies Weak Submodularity
    E. Elenberg, R. Khanna, A. G. Dimakis, S. Negahban (pdf)

  • Distributed Estimation of Graph 4-profiles
    E. R. Elenberg, K. Shanmugam, M. Borokhovich, A. G. Dimakis.
    in Proc. International World Wide Web Conference (WWW), 2016 (Arxiv)

  • Bipartite Correlation Clustering: Maximizing Agreements
    M. Asteris, A. Kyrillidis, D. Papailiopoulos, A. G. Dimakis, AISTATS 2016 (pdf)

  • Three papers accepted to NIPS 2015

    • Orthogonal NMF through Subspace Exploration
      M. Asteris D. Papailiopoulos A. G. Dimakis (pdf)

    • Sparse PCA via Bipartite Matchings
      M. Asteris D. Papailiopoulos A. Kyrillidis A. G. Dimakis (pdf)

    • Learning Causal Graphs with Small Interventions
      K. Shanmugam, M. Kocaoglu, A.G. Dimakis, S. Vishwanath (arxiv)

  • Stay on path: PCA along graph paths M. Asteris A. Kyrillidis A. G. Dimakis H. Yi B. Chandrasekaran International Conference on Machine Learning (ICML), Lille, France, 2015, (pdf) (slides)

I maintain the Distributed Storage Wiki, an online bibliography about theoretical problems in large-scale distributed storage systems.