Workshop on Sublinear Algorithms

August 1-5, 2022
MIT
https://fodsi.us/sublinear.html

Foundations of Data Science Institute (FODSI) is organizing a workshop on Sublinear Algorithms. The workshop will be held on August 3-5 at MIT. It will cover topics in sublinear algorithms, including streaming algorithms, sketching algorithms, sublinear-time algorithms, property testing, local algorithms an​d related topics.

The workshop will be preceded by a summer school (held August 1-2), which will cover topics in sublinear algorithms, as well as the related areas of algorithms for statistical problems and learning-augmented algorithms.

IDEAL Workshop on High-Dimensional Geometry and Analysis

May 27, 2022
Northwestern University Mudd 3514
https://www.ideal.northwestern.edu/events/high-dimensional-analysis/

Speakers
Ainesh Bakshi (Carnegie Mellon University), Arnold Filtser (Bar Ilan University), Weiyun Ma (Stanford University), Assaf Naor (Princeton University), Erik Waingarten (Stanford University)

Logistics
Dates: Friday, May 27
Location: Northwestern University
Rooms: Mudd 3514
Streaming: Zoom

Registration Link on website-
https://www.ideal.northwestern.edu/events/high-dimensional-analysis/

PRELIMINARY Schedule
All times are in the Central Time Zone (CDT; Chicago time).

9:30: Breakfast
9:55am: Opening Remarks
10:00am: Arnold Filtser, Locality-Sensitive Orderings
11:00am: Ainesh Bakshi, Robustly Learning a Mixture of k Arbitrary Gaussians 12:00: Lunch
1:00pm: Assaf Naor, Randomized clustering in high dimensions
2:00pm: Erik Waingarten, The Johnson-Lindenstrauss Lemma for Clustering and Subspace Approximation 3:00: Coffee Break
3:20pm: Weiyun Ma, Almost 3-Approximate Correlation Clustering in Constant Rounds

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

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.

IDEAL mini-workshop on “Statistical and Computational Aspects of Robustness in High-dimensional Estimation”

October 19, 2021
Virtual
https://www.ideal.northwestern.edu/events/mini-workshop-on-statistical-and-computational-aspects-of-robustness-in-high-dimensional-estimation/

Registration deadline: October 18, 2021

Today’s data pose unprecedented challenges to statisticians. It may be incomplete, corrupted or exposed to some unknown source of contamination or adversarial attack. Robustness is one of the revived concepts in statistics and machine learning that can accommodate such complexity and glean useful information from modern datasets. This virtual workshop will address several aspects of robustness such as statistical estimation and computational efficiency in the context of modern high-dimensional data analysis. The workshop speakers are Ankur Moitra, Ilias Diakonikolas, Jacob Steinhardt and Po-Ling Loh. Please register at the webpage given below for free to participate in the virtual workshop.

IDEAL Special Quarter Fall 2021 (Robustness in High-dimensional Statistics and Machine Learning)

September 21 – December 10, 2021
Virtual
https://www.ideal.northwestern.edu/special-quarters/fall-2021/

IDEAL – The Institute for Data, Econometrics, Algorithms, and Learning (an NSF-funded collaborative institute across Northwestern, TTIC and U Chicago) is organizing a Fall 2021 special quarter on “Robustness in High-dimensional Statistics and Machine Learning”.
The special-quarter activities include mini-workshops, seminars, graduate courses, and a reading group. The research goal is to explore several theoretical frameworks and directions towards designing learning algorithms and estimators that are tolerant to errors, contamination, and misspecification in data. Many of these activities will be virtual.

The kick-off event ( https://www.ideal.northwestern.edu/events/fall-2021-kickoff-event/ ) for this quarter will be held on Tuesday, September 21, 2021 at 3 pm Central time. We will briefly introduce the institute, the key personnel and information about the various activities during the special quarter. To find more information, or participate in the special quarter, please visit the webpage.