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
- March712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: In the first part of this presentation, I'll present a non-asymptotic bound for the spectral norm of a Gaussian...
- March4throughMarch6
Public Lecture
Event DetailsJoin us for the 2025 AI + Robotics Research Symposium -- three days of talks, panels, presentations, and networking opportunities...
- February2812:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Learning representations that generalize across diverse downstream tasks is a fundamental challenge in machine learning. Contrastive learning, self…
- 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...
