can karakus


linkedin
github
scholar
strava
cakarak at amazon dot com
bio
2018 Ph.D., Electrical Engineering , UCLA
2013 M.S., Electrical Engineering, UCLA
2011 B.S., Electrical Engineering, Bilkent University

I am an Applied Scientist at Amazon AI. I recently obtained my PhD under the supervision of Suhas Diggavi. I was a visiting student at EPFL for the summers of 2010 and 2012. I was an intern at Qualcomm Corporate R&D, San Diego, CA, for the summer of 2015, and an intern at Technicolor Research, Los Altos, CA for the summer of 2016. I am broadly interested in machine learning, optimization, distributed computing, information theory, and wireless networks.
conference
  • Privacy-utility trade-off of linear regression under random projections and additive noise [pdf]
    M. Showkatbakhsh, C. Karakus, S. Diggavi
    IEEE International Symposium on Information Theory '18
  • Straggler mitigation in distributed optimization through data encoding [pdf]
    C. Karakus, Y. Sun, S. Diggavi, W. Yin
    Neural Information Processing Systems '17 (Spotlight)
  • Encoded distributed optimization [pdf]
    C. Karakus, Y. Sun, S. Diggavi
    IEEE International Symposium on Information Theory '17
  • Approximately achieving feedback interference channel capacity with point-to-point codes [pdf]
    J. Sebastian, C. Karakus, S. Diggavi
    IEEE International Symposium on Information Theory '16
  • Rate splitting is approximately optimal for fading gaussian interference channels [pdf]
    J. Sebastian, C. Karakus, S. Diggavi, I.-H. Wang
    Allerton Conference on Computing, Communication and Control '15
  • Opportunistic scheduling for full-duplex uplink-downlink networks [pdf]
    C. Karakus, S. Diggavi
    IEEE International Symposium on Information Theory '15
  • An achievable rate region for gaussian interference channel with intermittent feedback [pdf]
    C. Karakus, I.-H. Wang, S. Diggavi
    Allerton Conference on Computing, Communication and Control '13
  • Interference channel with intermittent feedback [pdf]
    C. Karakus, I.-H. Wang, S. Diggavi
    IEEE International Symposium on Information Theory '13
  • Shifting network tomography toward a practical goal [pdf]
    D. Ghita, C. Karakus, K. Argyraki, P. Thiran
    ACM International Conference on Emerging Network Experiments and Technologies '11
journal
  • Differentially private consensus-based distributed optimization [pdf]
    M. Showkatbakhsh, C. Karakus, S. Diggavi
    Preprint
  • Redundancy techniques for straggler mitigation in distributed optimization and learning [pdf]
    C. Karakus, Y. Sun, S. Diggavi, W. Yin
    Journal of Machine Learning Research '19
  • Approximate capacity of fast fading interference channels with no CSIT [pdf]
    J. Sebastian, C. Karakus, S. Diggavi
    IEEE Transactions on Communications '18
  • Enhancing multiuser MIMO through opportunistic D2D cooperation [pdf]
    C. Karakus, S. Diggavi
    IEEE Transactions on Wireless Communications '17
  • Gaussian interference channel with intermittent feedback [pdf]
    C. Karakus, I.-H. Wang, S. Diggavi
    IEEE Transactions on Information Theory '15