Organizing Committee
- Hoi Nguyen
Ohio State University - Oanh Nguyen
Brown University - Konstantin Tikhomirov
Carnegie Mellon University - Roman Vershynin
University of California, Irvine - Van Vu
Yale University
Abstract
This workshop focuses on the role of random matrices in data science, machine learning, and theoretical computer science.
Playing a significant role in modern data science, random matrices provide an elegant way to represent both (a) the data and (b) the way we process it. To give an example of (a), the classical model of high-dimensional data is a set of points drawn from a certain distribution in a high-dimensional space which can be represented as a random matrix. An even more natural example is that most data in practice is noisy, so it can be represented as a deterministic matrix plus a random noise, which is a random matrix with a non-zero mean. An example of (b) is data compression, which can be realized by applying a random matrix of smaller sizes to the data in (a), thereby reducing its dimensions. Another example is data completion, where we need to reconstruct data (in the form of a matrix) from a random sub-matrix, given that the original matrix satisfies certain structural constraints (such as being low rank).
To deal with these problems, we need to develop techniques beyond the scope of standard random matrix theory. For example, while the sensitivity of matrix spectrum to small random perturbations is extensively studied in the mean field regime, the problem in the setting of structured random matrices, which allows for more adequate modeling of real-world data, is wide open. As another example, the core mechanism of an artificial neural network is a composition of linear and nonlinear transformations, leading to nonlinear generalizations of random matrices. Our understanding of mathematical principles behind examples like this is still in its infancy.
The goal is to discuss a number of hot topics in these areas, focusing on recent theoretical progress and the potential pool of applications, in a manner that is accessible to a wide audience, including researchers in data science, electrical engineering, statistics, and numerical analysis.
Confirmed Speakers & Participants
Talks will be presented virtually or in-person as indicated in the schedule below.
- Speaker
- Poster Presenter
- Attendee
- Virtual Attendee
-
Elie Alhajjar
RAND
-
Lucas Benigni
Université de Montréal
-
Tatiana Brailovskaya
Princeton University
-
Jonathan Chavez Casillas
University of Rhode Island
-
Qianyong Chen
UMass Amherst
-
Shabarish Chenakkod
University of Michigan
-
Hongmei Chi
Florida A&M University
-
Alperen Ergur
UTSA
-
Yiyun He
University of California, Irvine
-
Vishesh Jain
University of Chicago, Illinois
-
Sungwoo Jeong
Cornell University
-
Vasileios Kalantzis
IBM Research
-
Han Le
University of Michigan
-
Sivan Leviyang
Georgetown University
-
Shuangping Li
Stanford University
-
Jackie Lok
Princeton University
-
Hengrui Luo
Lawrence Berkeley National Laboratory/ Rice University
-
Andrea Montanari
Stanford University
-
Thien Nguyen
Northeastern university
-
Oanh Nguyen
Brown University
-
T. H. Molena Nguyen
North Carolina State University
-
Hoi Nguyen
Ohio State University
-
Mihai Nica
University of Guelph
-
Petar Nizic-Nikolac
ETH Zurich
-
Sean O'Rourke
University of Colorado Boulder
-
Additi Pandey
Brown University
-
Jing Qin
University of Kentucky
-
Raj Rao
University of Michigan
-
Daniel Reichman
Worcester Polytechnic Institute, Worcester, MA
-
Elad Romanov
Stanford University
-
Julian Sahasrabudhe
University of Cambridge
-
Mehtaab Sawhney
MIT
-
Calum Shearer
University of Colorado Boulder
-
Paul Simanjuntak
Texas A&M University
-
Youngtak Sohn
MIT
-
Konstantin Tikhomirov
Carnegie Mellon University
-
Linh Tran
Yale University
-
Phuc Tran
Yale University
-
Alexander Van Werde
Eindhoven University of Technology
-
Roman Vershynin
University of California, Irvine
-
Van Vu
Yale University
-
Truong Vu
University of Illinois at Chicago, Illinois, USA
-
Jingheng Wang
Ohio State University
-
Zhichao Wang
University of California San Diego
-
Xiong Wang
Johns Hopkins University
-
Haixiao Wang
University of California, San Diego
-
Ke Wang
Hong Kong University of Science and Technology
-
Lu WEI
Texas Tech University
-
Garrett Wen
Yale University
-
Deping Ye
Memorial University of Newfoundland
-
Yifan Zhang
University of Texas at Austin
-
Ping Zhong
University of Wyoming
-
Fan Zhou
Yale University
-
Yizhe Zhu
University of California Irvine
Application Information
ICERM welcomes applications from faculty, postdocs, graduate students, industry scientists, and other researchers who wish to participate. Some funding may be available for travel and lodging. Graduate students who apply must have their advisor submit a statement of support in order to be considered.
Your Visit to ICERM
- ICERM Facilities
- ICERM is located on the 10th & 11th floors of 121 South Main Street in Providence, Rhode Island. ICERM's business hours are 8:30am - 5:00pm during this event. See our facilities page for more info about ICERM and Brown's available facilities.
- Traveling to ICERM
- ICERM is located at Brown University in Providence, Rhode Island. Providence's T.F. Green Airport (15 minutes south) and Boston's Logan Airport (1 hour north) are the closest airports. Providence is also on Amtrak's Northeast Corridor. In-depth directions and transportation information are available on our travel page.
- Lodging
- ICERM's special rate will soon be made available via this page for our preferred hotel, the Hampton Inn & Suites Providence Downtown. Contact housing@icerm.brown.edu before booking anything.
The only way ICERM participants should book a room is through the hotel reservation links located on this page or through links emailed to them from an ICERM email address (first_last@icerm.brown.edu). ICERM never works with any conference booking vendors and never collects credit card information.
- Childcare/Schools
- Those traveling with family who are interested in information about childcare and/or schools should contact housing@icerm.brown.edu.
- Technology Resources
- Wireless internet access ("Brown-Guest") and wireless printing is available for all ICERM visitors. Eduroam is available for members of participating institutions. Thin clients in all offices and common areas provide open access to a web browser, SSH terminal, and printing capability. See our Technology Resources page for setup instructions and to learn about all available technology.
- Accessibility
- To request special services, accommodations, or assistance for this event, please contact accessibility@icerm.brown.edu as far in advance of the event as possible. Thank you.
- Discrimination and Harassment Policy
- ICERM is committed to creating a safe, professional, and welcoming environment that benefits from the diversity and experiences of all its participants. Brown University's "Code of Conduct", "Discrimination and Workplace Harassment Policy", "Sexual and Gender-based Misconduct Policy", and "Title IX Policy" apply to all ICERM participants and staff. Participants with concerns or requests for assistance on a discrimination or harassment issue should contact the ICERM Director or Assistant Director Jenna Sousa; they are the responsible employees at ICERM under this policy.
- Fundamental Research
- ICERM research programs aim to promote Fundamental Research and mathematical sciences education. If you are engaged in sensitive or proprietary work, please be aware that ICERM programs often have participants from countries and entities subject to United States export control restrictions. Any discoveries of economically significant intellectual property supported by ICERM funding should be disclosed.
- Exploring Providence
- Providence's world-renowned culinary scene provides ample options for lunch and dinner. Neighborhoods near campus, including College Hill Historic District, have many local attractions. Check out the map on our Explore Providence page to see what's near ICERM.
Visa Information
Contact visa@icerm.brown.edu for assistance.
- Eligible to be reimbursed
- B-1 or Visa Waiver Business (WB)
- Ineligible to be reimbursed
- B-2 or Visa Waiver Tourist (WT)
- Already in the US?
-
F-1 and J-1 not sponsored by ICERM: need to obtain a letter approving reimbursement from the International Office of your home institution PRIOR to travel.
H-1B holders do not need letter of approval.
All other visas: alert ICERM staff immediately about your situation.
ICERM does not reimburse visa fees. This chart is to inform visitors whether the visa they enter the US on allows them to receive reimbursement for the items outlined in their invitation letter.
Financial Support
This section is for general purposes only and does not indicate that all attendees receive funding. Please refer to your personalized invitation to review your offer.
- ORCID iD
- As this program is funded by the National Science Foundation (NSF), ICERM is required to collect your ORCID iD if you are receiving funding to attend this program. Be sure to add your ORCID iD to your Cube profile as soon as possible to avoid delaying your reimbursement.
- Acceptable Costs
-
- 1 roundtrip between your home institute and ICERM
- Flights in economy class to either Providence airport (PVD) or Boston airport (BOS)
- Ground Transportation to and from airports and ICERM.
- Unacceptable Costs
-
- Flights on U.K. airlines
- Seats in economy plus, business class, or first class
- Change ticket fees of any kind
- Multi-use bus passes
- Meals or incidentals
- Advance Approval Required
-
- Personal car travel to ICERM from outside New England
- Multiple-destination plane ticket; does not include layovers to reach ICERM
- Arriving or departing from ICERM more than a day before or day after the program
- Multiple trips to ICERM
- Rental car to/from ICERM
- Arriving or departing from airport other than PVD/BOS or home institution's local airport
- 2 one-way plane tickets to create a roundtrip (often purchased from Expedia, Orbitz, etc.)
- Travel Maximum Contributions
-
- New England: $350
- Other contiguous US: $850
- Asia & Oceania: $2,000
- All other locations: $1,500
- Note these rates were updated in Spring 2023 and superseded any prior invitation rates. Any invitations without travel support will still not receive travel support.
- Reimbursement Requests
-
Request Reimbursement with Cube
Refer to the back of your ID badge for more information. Checklists are available at the front desk and in the Reimbursement section of Cube.
- Reimbursement Tips
-
- Scanned original receipts are required for all expenses
- Airfare receipt must show full itinerary and payment
- ICERM does not offer per diem or meal reimbursement
- Allowable mileage is reimbursed at prevailing IRS Business Rate and trip documented via pdf of Google Maps result
- Keep all documentation until you receive your reimbursement!
- Reimbursement Timing
-
6 - 8 weeks after all documentation is sent to ICERM. All reimbursement requests are reviewed by numerous central offices at Brown who may request additional documentation.
- Reimbursement Deadline
-
Submissions must be received within 30 days of ICERM departure to avoid applicable taxes. Submissions after thirty days will incur applicable taxes. No submissions are accepted more than six months after the program end.