Salim El Rouayheb - Shannon Channel

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

Latest talk

Stay tuned:

• Subscribe to the mailing list to stay updated and get details about the upcoming talks.
  

• Add the Shannon Channel calendar to your calendar.
  

• Reserve a seat to be part of the video conference as live audience (seats are limited).
  

• Stream the talks live by visiting the link of the upcoming talk, during the talk time, where you can watch and ask questions (text only).
  

• Visit Shannon's youtube channel to watch any past talk.
  

Upcoming talks:

1. Friday, April 5, 2019: S02E12: Denali Molitor, University of California, Los Angeles, Randomized Kaczmarz with Averaging, at 2:00 PM ET.

2. Friday, May 10, 2019: S02E13: Hoon Cho, Massachusetts Institute of Technology, ‘‘Biomedical Data Sharing and Analysis With Privacy", at 1:00 PM ET.

3. Friday, June 7, 2019: S02E14: Victoria Kostina, California Institute of Technology.

List of the past talks:

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

2. 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)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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