IFML Seminar
IFML Seminar: 10/25/24 - Representation-based Reinforcement Learning
Abstract: Reinforcement learning often faces a trade-off between model flexibility and computational tractability. Flexible models can capture complex dynamics and policy but often introduce nonlinearity, making planning and exploration challenging. In this talk, we...
Upcoming Events
-
October2512:15 - 1 pm
IFML Seminar
Abstract: Reinforcement learning often faces a trade-off between model flexibility and computational tractability. Flexible models can capture complex…
Past Events
-
February2312:15 - 1 pm
IFML Seminar
Abstract: The problem of parallel stochastic convex optimization (SCO) was first formalized by Nemirovski in ’94. In this problem, there...
-
February1612:15 - 1 pm
IFML Seminar
Abstract: Foundational large language models, while successful at shorter contexts, struggle to scale to longer context inputs. Preventing performance…
-
February212:15 - 1 pm
IFML Seminar
Abstract: The Gromov-Wasserstein (GW) distance quantifies dissimilarity between metric measure (mm) spaces and provides a natural correspondence…
-
January2612:15 - 1 pm
IFML Seminar
Abstract: How can we find and apply the best optimization algorithm for a given problem? This question is as old...
-
January262 - 4 pm
Connecting undergraduate and graduate students with machine learning research opportunities across campus.
-
January25All day
The University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world...