
IFML Seminar
IFML Seminar: 10/24/25 - Learning from Many Trajectories
Abstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental understanding of sequential learning remains incomplete, particularly in the multi-trajectory setting where data consists...
Upcoming Events
- October2412:15 - 1:15pm
IFML Seminar
Abstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental...
- November712:15 - 1:15pm
IFML Seminar
Abstract: Retraining a model using its own predictions together with the original, potentially noisy labels is a well-known strategy for...
Past Events
- April512:15 - 1 pm
IFML Seminar
Abstract: Despite efforts to align large language models (LLMs) with human intentions, popular LLMs such as GPT, Llama, Claude, and...
- March2912:15 - 1 pm
IFML Seminar
Abstract: In this talk, we will delve into the dynamic and evolving landscape of generative AI, concentrating on three areas...
- March292 - 5 pm
IFML + DMS Joint Event
SCHEDULE OF EVENTS 2:00 - Talk with James Zou (GDC 6.302) Title: Biomedicine in the Age of Generative AI Abstract...
- March812:15 - 1 pm
IFML Seminar
Abstract: Lion (Evolved Sign Momentum) is an optimizer discovered through program search ( https://arxiv.org/abs/2302. 06675). It was shown to perform...
- March112:15 - 1 pm
IFML Seminar
Abstract: Diffusion models have emerged as a powerful new approach to generative modeling. In this talk, we present the first...
- 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...