TOC for Society
I am delighted that the Symposium on Foundations of Responsible Computing (FORC) is on its way. This is a new forum that will host mathematical research in computation and [...]
Shopping for Grain in the Market Works – a Fine Job!
I’m excited to share the news of two upcoming workshops… TCS Early Career Mentoring Workshop Yael Kalai, Matt Weinberg, and I are organizing a TCS mentoring [...]
Information Theoretic Cryptography – a New Conference
From Benny Applebaum: %%%%%%%%%%%%%%%%%%%% Deal friends, We are happy to announce the birth of a new conference on Information-Theoretic Cryptography (ITC). [...]
ITCS Deadline: one week to go!
An announcement from the ITCS PC. With roughly a week left, here is a reminder that the 11th Innovations in Theoretical Computer Science (ITCS) submission deadline is next [...]
On the Importance of Disciplinary Pride for Multidisciplinary Collaboration
I am a big fan of collaborations, even if they come with their own challenges. I always got further and enjoyed research much more because of my collaborators. I’m forever [...]
ITCS’20 Call for Papers
ITCS is one of my favorite (if not my favorite) conferences, with not only great and insightful papers but also a friendly atmosphere. This year should be no exception! [...]
STOC 2019 workshop and tutorial proposals
I want to draw your attention to the call for workshop and tutorial proposals for STOC 2019:http://acm-stoc.org/stoc2019/callforworkshops.html Important Dates Submission [...]
STOCA workshop
For the past few months, we, the STOC 2019 PC, have enjoyed the privilege of reading and discussing a lot of exciting submissions. On Sunday and Monday we will reject most of [...]
Deadline approaching – 2019 Gödel Prize
A reminder that the February 15th deadline is approaching (see https://theorydish.blog/2018/12/18/2019-godel-prize/). It is safe to assume that the paper you are excited [...]
On PAC Analysis and Deep Neural Networks
Guest post by Amit Daniely and Roy Frostig. For years now—especially since the landmark work of Krishevsky et. al.—learning deep neural networks has been a method of [...]
