The purpose of this five-day workshop is (i) to highlight recent developments in multivariate analysis (MVA), made possible by innovations in high-dimensional probability and statistics, in close connection to network science, tensor methods, and optimization, and (ii) to consider future emerging directions in MVA and its applications in relation to advances in artificial intelligence (AI).
Multivariate analysis is at the heart of contemporary machine learning and data science, finding widespread applications across bioinformatics, neuroscience, genomics, finance, economics, and network science. Modern developments in multivariate analysis, spanning the study of networks, tensors, optimization, and more, leverage the abundance of data and large-scale computational infrastructure. Given the growing capabilities of artificial intelligence, there is an opportunity to revisit and reimagine MVA in the era of AI, towards the development of new theoretical foundations, scalable algorithms, and interpretable methodologies capable of addressing the complexity, scale, and heterogeneity of modern data and scientific problems. Such a reexamination offers the potential to integrate classical statistical principles with advances in machine learning and computational mathematics, enabling next-generation multivariate methods that are both computationally efficient and statistically principled, supporting reliable inference, uncertainty quantification, and interpretability.
Poster Session & Lightning Talks
This workshop will include a poster session and lightning talks for early career researchers (including graduate students). In order to propose a lightning talk and poster (you must propose both as the lightning talks are aimed to promote your poster), you must first register for the workshop and then submit a proposal using the form that will become available on this page after you register.
The deadline for proposing is Sunday, July 11, 2027. If your proposal is accepted, you should plan to attend the event in-person.
In-Person Registration
Seats are limited at the venue, which means that in-person registration may be capped prior to the workshop start date. If capacity is reached, a waitlist will be imposed, which the registration form will reflect. Early registration is strongly encouraged.
All in-person registrants must wait to receive an invitation to attend in-person from IMSI before traveling, which generally begin to be sent out 4-6 weeks in advance.
All registrants (online and in-person) will receive zoom links and are welcome to attend online.
Registration Fees
A non-refundable registration fee will be payable by credit card or debit card for any participants invited to attend this workshop in-person. In-person participants agree to pay the non-refundable fee by the deadline given by IMSI. Failure to pay the fee by the deadline may mean that the invitation to attend in-person is revoked.
Current fees:
- $25 for students
- $50 for non-students
Organizers
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IMSI is committed to making all of our programs and events inclusive and accessible. Contact [email protected] to request disability-related accommodations.
In order to register for this workshop, you must have an IMSI account and be logged in.