IFML Seminar
IFML Seminar: 09/12/25 - Accelerating Nonconvex Optimization via Online Learning
Abstract: A fundamental problem in optimization is finding an ε-first-order stationary point of a smooth function using only gradient information. The best-known gradient query complexity for this task, assuming both the gradient and Hessian...
Upcoming Events
- September1212:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: A fundamental problem in optimization is finding an ε-first-order stationary point of a smooth function using only gradient information...
- September1912:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: LLMs have not only revolutionized text-based natural language processing, but their multimodal extensions have proven to be extremely powerful...
Past Events
- February20throughFebruary21
Workshop
Event Details2 days of academic research presentations on the mathematical theory underpinning modern machine learning paradigms. Presented by The University of...
- February1412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Mainstream artificial neural network models, such as Deep Neural Networks (DNNs) are computation-heavy and energy-hungry. Weightless Neural…
- February712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Reinforcement Learning from Human Feedback (RLHF) has become the predominant method for aligning large language models (LLMs) to be...
- January3112:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: We pose a fundamental question in computational learning theory: can we efficiently test whether a training set satisfies the...
- December1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Deep neural networks (DNNs) have become popular tools to solve ill-posed image recovery problems, such as those associated with...
- December101:30 - 4 pmEvent Details
One of the most striking findings in modern research on large language models (LLMs) is that, given a model and...
