IDEAL Workshop on Algorithms for Massive Data Sets

May 13, 2022
Northwestern University and Zoom
https://www.ideal.northwestern.edu/events/massive-data-sets/

We are inviting you to attend the IDEAL Workshop on Algorithms for Massive Data Sets. The workshop will take place at Northwestern University on Friday, May 13. It will be in a hybrid format. If you are interested in participating in the workshop (in-person or remotely), please register on the workshop webpage.

IDEAL Workshop on Clustering

April 22-23, 2022
Northwestern University & Online
https://www.ideal.northwestern.edu/events/clustering/

We are inviting you to attend the IDEAL Workshop on Clustering. The workshop will take place at Northwestern University on Friday, April 22, and Saturday, April 23. It will be in a hybrid format. If you are interested in participating in the workshop (in-person or remotely), please register on the workshop webpage.

AMSI–AustMS Workshop on Bridging Maths and Computer Science

May 31 – June 3, 2022
Sydney, Australia
https://sites.google.com/view/2022-workshop-bridgingmathstcs/

This 4-day workshop will bring together Australian and Australasian researchers in mathematics and theoretical computer science, in view of fostering exchanges and collaborations. Specifically, the workshop will focus on two themes, “Computational Complexity and Cryptography” and “Graph Theory and Combinatorics,” from the point of view of both the mathematics and computer science community, with ample time for informal discussions around each. Each day will involve plenary talks by both a member of the mathematics and computer science community, and time devoted to open problems and interesting research directions, as seen by both communities.

IDEAL Workshop on “Clustering” -Friday & Saturday, April 22-23, 2022, 8:40 am-4:00 pm Central Time in Mudd Library 3514

April 22-23, 2022
Mudd Library 3514
https://www.ideal.northwestern.edu/events/clustering/

IDEAL Workshop on Clustering. The workshop will take place at Northwestern University on Friday, April 22, and Saturday, April 23, 8:40 am- 4:00 pm CST (Chicago Time) in MUDD 3514. It will be in a hybrid format. If you are interested in participating in the workshop (in-person or remotely), please register at the workshop webpage: https://www.ideal.northwestern.edu/events/clustering/

Logistics
Dates: Friday, April 22 and Saturday, April 23, 2022
Location: Northwestern University, Evanston, IL
Rooms: Mudd Library 3514 for both Friday and Saturday
Streaming: Panopto and Zoom

IPAM Graduate Summer School on Post-quantum and Quantum Cryptography

July 25-29, 2022
Los Angeles, USA
http://www.ipam.ucla.edu/gss2022b

Registration deadline: April 15, 2022

The goal of this summer school is to present an in-depth introduction to post-quantum and quantum cryptography for advanced
undergraduate and graduate students, as well as young researchers, in mathematics, computer science, and physics. Lecturers in the school will discuss both topics hand in hand: post-quantum
cryptography, or the art of analyzing security of classical
cryptosystems against attacks, and quantum cryptography, or the art of leveraging quantum effects to develop new cryptographic schemes that are made possible by quantum information.

The 15th Latin American Theoretical Informatics Symposium

October 17-21, 2022
Guanajuato, Mexico
https://delta.cs.cinvestav.mx/~francisco/Latin22/

Submission deadline: May 22, 2022

LATIN is devoted to different areas in theoretical computer science including, but not limited to: algorithms (approximation, online, randomized, algorithmic game
theory, etc.), analytic combinatorics and analysis of algorithms, automata theory and formal languages, coding theory and data compression, combinatorial algorithms, combinatorial optimization, combinatorics and graph theory, complexity theory,
computational algebra, computational biology, computational geometry, computational number theory, cryptology, databases and information retrieval, data structures, formal methods and security, foundations of data science and theoretical machine learning, Internet and the web, parallel and distributed computing, pattern matching, programming language theory, quantum computing, and random structures.

Prague Summer School on Discrete Mathematics

July 11-15, 2022
Prague, Czech Republic
https://www.mff.cuni.cz/en/iuuk/events/prague-summer-school-on-discrete-mathematics

Registration deadline: March 1, 2022

Prague Summer School on Discrete Mathematics 2022 will feature lecture series on
statistical physics methods in combinatorics (Will Perkins) and the container method (Wojciech Samotij). The School is primarily intended for PhD students and postdocs, but students and researchers in other stages of their careers may also participate. A limited number of stipends to cover travel and stay for participants is available.

STOC 2022 Workshops: Call for Proposals

June 20-24, 2022
Rome, Italy
http://acm-stoc.org/stoc2022/callforworkshops.html

Submission deadline: January 15, 2022

STOC/TheoryFest 2022 will hold workshops during the conference week, June 20–24, 2022. We invite groups of interested researchers to submit workshop proposals. The due date for proposals is February 15, 2022. Submission instructions can be found on the STOC’22 website.

Quarterly Theory Workshop: 2021 Junior Theorists Workshop

December 9-10, 2021
Virtual(on Gather.Town) Please register here(free): (https://forms.gle/Kpqe4xBb9fAzGBX78) to get access to the Gather.town login information (we will send it the day before the event). https://theory.cs.northwestern.edu/events/2021-junior-theorists-workshop/

The 2021 Junior Theorists Workshop is part of the Northwestern CS Quarterly Theory Workshop Series. The focus of this workshop will be on junior researchers in all areas of theoretical computer science.

IDEAL mini-workshop on “New Directions on Robustness in ML”

November 16, 2021
Virtual
https://www.ideal.northwestern.edu/events/mini-workshop-on-new-directions-on-robustness-in-ml/

As machine learning systems are being deployed in almost every aspect of decision-making, it is vital for them to be reliable and secure to adversarial corruptions and perturbations of various kinds. This workshop will explore newer notions of robustness and the different challenges that arise in designing reliable ML algorithms. Topics include test-time robustness, adversarial perturbations, distribution shifts, and explore connections between robustness and other areas. The workshop speakers are Aleksander Madry, Gautam Kamath, Kamalika Chaudhuri, Pranjal Awasthi and Sebastien Bubeck. Please register at the webpage given below for free to participate in the virtual workshop.