Ethan R. Elenberg




About


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I am a Ph. D. Candidate at the University of Texas at Austin under the joint supervision of Prof. Sriram Vishwanath and Prof. Alex Dimakis.

I completed my B.E. in Electrical Engineering from The Cooper Union for the Advancement of Science and Art in 2012 and received my M.S in Electrical and Computer Engineering from UT Austin in 2014. I am a member of the Wireless Networking and Communications Group (WNCG), the Laboratory for Informatics, Networks and Communications (LINC), and the Machine INtelligence and Decision Systems initiative (UT-MINDS).


Publications

  1. Ethan R. Elenberg, Alexandros G. Dimakis, Moran Feldman, and Amin Karbasi. ‘‘Streaming Weak Submodularity: Interpreting Neural Networks on the Fly’’, to appear in Proc. Neural Information Processing Systems (NIPS), 2017. Oral presentation (top 6% of accepted papers). [pdf]  [arXiv (preprint)]  [poster]  [NIPS video]  [preview video]  [code]

  2. Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, and Sahand Negahban. ‘‘On Approximation Guarantees for Greedy Low Rank Optimization’’, in Proc. International Conference on Machine Learning (ICML), 2017, pp. 1837-1846. [pdf]  [arXiv (preprint)]

  3. Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand Negahban, and Joydeep Ghosh. ‘‘Scalable Greedy Feature Selection via Weak Submodularity’’, in Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2017, pp. 1560-1568. [pdf] [arXiv (preprint)]

  4. Anthony Bonato, David Ryan D’Angelo, Ethan R. Elenberg, David F. Gleich, and Yangyang Hou. ‘‘Mining and Modeling Character Networks’’, in Proc. Workshop on Algorithms and Models for the Web Graph (WAW), 2016, pp. 100-114. [arXiv]  [doi]  [code]

  5. Ethan R. Elenberg, Rajiv Khanna, Alexandros G. Dimakis, and Sahand Negahban. ‘‘Restricted Strong Convexity Implies Weak Submodularity’’, in Proc. NIPS Workshop on Learning in High Dimensions with Structure, 2016. [pdf] [arXiv (extended)]

  6. Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, and Alexandros G. Dimakis. ‘‘Distributed Estimation of Graph 4-profiles’’, in Proc. International World Wide Web Conference (WWW), 2016, pp. 483-493. [arXiv (extended)]  [doi [code]

  7. Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, and Alexandros G. Dimakis. ‘‘Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs’’, in Proc. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015, pp. 229-238. [arXiv (extended)]  [doi]  [slides]  [code]

  8. Jonathan I. Tamir, Ethan R. Elenberg, Anurag Banerjee, and Sriram Vishwanath. ‘‘Wireless Index Coding Through Rank Minimization’’, in Proc. IEEE International Conference on Communications (ICC), 2014, pp. 5220-5225. [pdf] [doi

  9. Joe Baylon, Ethan R. Elenberg, and Samantha G. Massengill. ‘‘iSCISM: interference Sensing and Coexistence in the ISM Band’’, High Frequency Electronics, vol. 11 no. 4 pp. 30-46, Apr. 2012. [pdf]


Contact

The University of Texas
Department of Electrical and Computer Engineering
1616 Guadalupe Street, Room 7.511
Austin, TX 78701 USA
elenberg [AT] utexas [DOT] edu