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
- November1412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Diffusion language models (DLMs) represent a nascent but promising alternative to GPT-style autoregressive (AR) language models: as opposed to...
- November712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Retraining a model using its own predictions together with the original, potentially noisy labels is a well-known strategy for...
- November59:30am - 5 pm
Workshop
Event DetailsCelebrating five years of innovation with perspectives on foundation models, diffusion, LLMs, vision, and the future of generative AI
- October2412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental...
- October1712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Large pre-trained models trained on internet-scale data are often not ready for deployment out-of-the-box. They are heavily fine-tuned and...
- October1012:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: What would it mean for AI to understand skilled human activity? In augmented reality (AR), a person wearing smart...
