Opportunities at Harvard!

Computer Science at Harvard, and in particular theoretical computer science and machine learning, is growing fast, see my 21-Tweet thread: https://twitter.com/boazbaraktcs/status/1450171218070495238?s=20 Please consider applying for graduate studies in computer science (or encourage others to apply if like me, your grad-school days are behind you). In recent years, I've taken a special interest in the theory … Continue reading Opportunities at Harvard!

Nominate papers to SIGACT Research highlights

TL;DR: Know of a great recent paper that should be highlighted to the theory community and beyond? Email a nomination to sigact.highlights.nominations@outlook.com by Friday, Oct 22, 2021. The goal of the SIGACT Research Highlights Committee is to help promotetop computer science theory research via identifying results that are ofhigh quality and broad appeal to the … Continue reading Nominate papers to SIGACT Research highlights

ITC 2021: Call for participation (guest post by Benny Applebaum)

The second edition of the recently created conference on Information-Theoretic Cryptography (ITC 2021) will take place virtually on July 24-26, 2021. The final program is out and contains exciting new works and invited talks that highlight the recent advances in the area by Benny Applebaum, Elaine Shi, Irit Dinur, Salman Avestimehr, Matthieu Bloch, and Mark … Continue reading ITC 2021: Call for participation (guest post by Benny Applebaum)

STOC feedback and TCS Wikipedia (guest post by Clément Canonne )

The 53rd Annual ACM Symposium on Theory of Computing (STOC'21) concludes today, after 5 days of action-packed, Gather-power talks, workshops, plenary talks, and posters. A huge thank you to all volunteers, organizers, speakers, and attendees, who helped make this virtual conference a success! We would like to ask for your feedback on the conference. Whether … Continue reading STOC feedback and TCS Wikipedia (guest post by Clément Canonne )

Machine Learning for Algorithms – virtual workshop

[H/T Jelani Nelson] In recent years there has been increasing interest in using machinelearning to improve the performance of classical algorithms incomputer science, by fine-tuning their behavior to adapt to theproperties of the input distribution. This “data-driven” or“learning-based” approach to algorithm design has the potential tosignificantly improve the efficiency of some of the most widely … Continue reading Machine Learning for Algorithms – virtual workshop

New seminar series in Simons Institute

The Simons institute started a new virtual seminar series highlighting recent advances in theoretical computer science. The first two talks in the series will be: June 16th 10am-11am PDT (1pm-2pm EDT). Virginia Vassilevska Williams on a  Refined Laser Method and Faster Matrix MultiplicationAugust 5 10am-11am PDT (1pm-2pm EDT) Yuansi Chen on An Almost Constant Lower … Continue reading New seminar series in Simons Institute

Workshop on Local Algorithms (Guest post by Ronitt Rubinfeld)

The fifth WOLA (Workshop on Local Algorithms) will be virtual, and take place June 14-15. Registration is free, but required: please fill this form by June 10th to attend. Local algorithms — that is, algorithms that compute and make decisions on parts of the output considering only a portion of the input — have been studied in a number of … Continue reading Workshop on Local Algorithms (Guest post by Ronitt Rubinfeld)