IFML Seminar
IFML Seminar: 03/13/26 - Foundations of Reliable Learning with Imperfect Data
Abstract: A central challenge in machine learning is reliability: ensuring that an algorithm’s predictions remain accurate and stable even when the data is noisy, adversarial, or misspecified. This talk presents recent progress on learning...
Upcoming Events
- March1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: A central challenge in machine learning is reliability: ensuring that an algorithm’s predictions remain accurate and stable even when...
Past Events
- 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...
- December612:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Computer vision has made remarkable advances through data-driven learning of image-text associations. Large-scale vision and language models like…
- December45:30 - 8 pm
Public Lecture
Event DetailsPublic event hosted by IBM, the Austin AI Alliance, and the Global AI Alliance (co-founded by IBM). Our Deep Proteins...
- November1512:15 - 1:15pm
IFML Seminar
Event DetailsSpeaker Bio: Zak Mhammedi is a Research Scientist at Google Research , focusing on reinforcement learning and optimization. He completed...
