Public Lecture
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2025 AI + Robotics Research Symposium
Join us for the 2025 AI + Robotics Research Symposium -- three days of talks, panels, presentations, and networking opportunities. Hosted by UT's Texas Robotics and Machine Learning Lab , in collaboration with the...
Upcoming Events
- 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…
- March4throughMarch6
Public Lecture
Event DetailsJoin us for the 2025 AI + Robotics Research Symposium -- three days of talks, panels, presentations, and networking opportunities...
- 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...
- March2812:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: In this talk, we first discuss a new one-shot lower bound on the Bayes error in simple binary hypothesis...
Past Events
- 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...
- 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...
