SILO: Funsearch: a novel approach to using large language models as part of mathematical practice
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinJordan Ellenberg
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How do neural networks learn features from data?
CSE (Allen) 403Speaker Bio: Adit is currently the George F. Carrier Postdoctoral Fellow >
SILO: A scalable method to exploit screening in Gaussian process models with noise
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinChris Geoga
Towards a new toolbox of optimal statistical primitives
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinAbstract: Given society's increasing reliance on data, its collection and processing >
SILO: Universality in High-Dimensional Statistics
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinRishabh Dudeja
Policy Optimization with Compatible Mirror Approximation
ZoomSpeaker Bio: Zhihan is a fourth-year PhD student in the >
Theoretical exploration of foundation model adaption methods
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinSpeaker: Kangwook Lee
SILO: Theoretical Exploration of Foundation Model Adaptation Methods
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinKangwook Lee
Offline Multi-task Transfer RL with Representational Penalization
CSE (Allen) 403Speaker Bio: Avinandan is a second year PhD student, advised >
A good score does not lead to a good generative model
WID 1145 330 N Orchard Street, Madison, WISpeaker: Sixu Li Abstract: Score-based Generative Models (SGMs) is one leading >
SILO: Foundations of Real-World Reinforcement Learning
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinJeongyeol Kwon
GumbelSpec Sampling for Accelerating LLM Inference
CSE (Allen) 403Bio: Tianxiao Shen is a postdoctoral scholar at the University of Washington, >