IFML Seminar
IFML Seminar: 11/21/25 - Learning Dynamics in Multiplayer Games
Abstract: Intelligence often emerges through interaction and competition. Likewise, advanced AI algorithms often rely on competing learning objectives. Whether through data sampling, environmental interaction, or self-play, agents iteratively adapt their strategies in pursuit of...
Upcoming Events
- November2112:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Intelligence often emerges through interaction and competition. Likewise, advanced AI algorithms often rely on competing learning objectives.…
Past Events
- October312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: We introduce a method for learning behavioral foundation models using the successor measure. We show that any visitation distribution...
- 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...
- 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...
- July29All dayEvent Details
AUSTIN, Texas — A National Science Foundation artificial intelligence institute based at The University of Texas at Austin will receive...
- May212:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: We revisit the fundamental problem of learning with distribution shift, where a learner is given labeled samples from training...
- April2512:15 - 1:15pm
IFML Seminar
Event DetailsAbstract : In the literature on benign overfitting in linear models, also referred to as minimum norm interpolation, it is...
