
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
Abstract: 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
Abstract: LLMs have not only revolutionized text-based natural language processing, but their multimodal extensions have proven to be extremely powerful...
Past Events
- January2711 am - 12 pm
Co-hosted by UT Good Systems, Forum for Artificial Intelligence, and IFML
- January26All day
The University of Texas at Austin is launching a new online master’s program in AI with the potential to bring...
- January2012 - 1 pm
IFML Seminar
Abstract: Sparsity has widely shown its versatility in model compression, robustness improvement, and overfitting mitigation by selectively masking out a...
- November163 - 5 pm
Join us for the 2022 Machine Learning Lab Public Lecture with Alan Bovik!
- November101 - 1:45pm
IFML Seminar
Abstract: This talk will first motivate and illustrate the use of margins as a way to interpret and analyze the...
- November412:15 - 1 pm
IFML Seminar
A central problem in machine learning is as follows: How should we train models using data generated from a collection...