Salim El Rouayheb - Shannon Channel

This channel will feature a series of online talks related to the general area of information theory.

Latest talk

Stay tuned:

Upcoming talks:

  1. Friday, January 31, 2020, S03E05: Vijay Subramanian, University of Michigan.

  2. Friday, April 24, 2020, Hessam Mahdavifar, University of Michigan.

  3. Friday, May 15, 2020, Mert Gurbuzbalaban, Rutgers University.

List of the past talks:

  1. S03E04: Flavio du Pin Calmon, Harvard University, On Representations and Fairness: Information-theoretic Tools for Machine Learning, November 22, 2019.

  2. S03E03: Ali Tajer, Rensselaer Polytechnic Institute, Active Sensing for Quickest Event Detection in Networks, October 25, 2019.

  3. S03E02: Matthieu Bloch, Georgia Institute of Technology, Towards Undetectable Quantum Communications, October 11, 2019.

  4. S03E01: Joao Ribeiro, Imperial College London, Coded and Uncoded Trace Reconstruction, September 27, 2019. (Slides)

  5. S02E14: Victoria Kostina, California Institute of Technology, Towards a Theory of Information for Dynamical Systems, Friday, June 7, 2019.

  6. S02E13: Hoon Cho, Massachusetts Institute of Technology, Biomedical Data Sharing and Analysis With Privacy, Friday, May 10, 2019.

  7. S02E12: Denali Molitor, University of California, Los Angeles, Randomized Kaczmarz with Averaging, Friday, April 5, 2019. (Slides)

  8. S02E11: Murat Kocaoglu, MIT-IBM Watson AI Lab, Entropic Methods for Causal Discovery, Friday, March 1, 2019.

  9. S02E10: Gauri Joshi, Carnegie Mellon University, Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD, Friday, February 1, 2019. (Slides)

  10. S02E09: Arya Mazumdar, University of Massachusetts Amherst, Graph Clustering: Variations on the Block Models, Friday, December 7, 2018.

  11. S02E08: Ananda Theertha Suresh, Google Research, cpSGD: Communication-efficient and differentially-private distributed SGD, Friday, November 16, 2018. (Slides)

  12. S02E07: Himanshu Tyagi, Indian Institute of Science, Inference under Local Information Constraints, Friday, November 2, 2018.

  13. S02E06: Po-Ling Loh, University of Wisconsin-Madison, Statistical Inference for Infectious Disease Modeling, Thursday, June 14, 2018.

  14. S02E05: Varun Jog, University of Wisconsin-Madison, Information-theoretic Perspectives on Learning Algorithms, Tuesday, May 8, 2018. (Slides)

  15. S02E04: Mary Wootters, New Tricks for Old Codes: Regenerating Codes Edition , Monday, April 23, 2018.

  16. S02E03: Jayadev Acharya, Estimating Symmetric Properties of Distributions: Maximum Likelihood Strikes Back!, Monday, March 5, 2018. (Slides)

  17. S02E02: Ravi Tandon, Communication-efficient Distributed Learning: Information-theoretic Perspectives & Tradeoffs, Monday, February 19, 2018.

  18. S02E01: Bobak Nazer, Towards an Algebraic Network Information Theory, Tuesday, June 13, 2017.

  19. S01E06: Anand Sarwate, From Local to Distributed Differential Privacy, Tuesday, April 26, 2016.

  20. S01E05: Dimitris Papailiopoulos, Less Talking More Learning: Avoiding Coordination In Parallel Machine Learning Algorithms, Wednesday, April 20, 2016.

  21. S01E04: Ilan Shomorony, The DNA Assembly Problem: Designing algorithms based on Information Limits, Monday, March 28, 2016.

  22. S01E03: Pulkit Grover, Error-correction and Suppression in Communication and Computing: a Tradeoff Between Information and Energy Dissipation, Monday, November 23, 2015.

  23. S01E02: Yonatan Kaspi, Searching with Measurement Dependent Noise, Monday, July 13, 2015.

  24. S01E01: Alex Sprintson, Secure Network Coding Schemes for Wireless and Data Storage Networks - Part 2, Wednesday, June 3, 2015.

  25. Pilot: Alex Sprintson, Secure Network Coding Schemes for Wireless and Data Storage Networks - Part 1, Wednesday, May 27, 2015.