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Deep Learning Theory
Program
Machine Learning Research Pod
Location
Calvin Lab Auditorium
Date
Tuesday, Feb. 18
–
Thursday, Feb. 20, 2025
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Deep Learning Theory
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Detection and Steering in LLMs using Feature Learning
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Adam and friends via duality
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Theory of Scaling: A General Framework for Scale-aware Training
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A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI
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Generalization and overfitting in two-layer neural networks
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Emergence and scaling laws for SGD learning and Learning Compositional Functions with Transformers
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Local minima of the empirical risk in high dimension
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Weak-to-Strong Generalization Even in Random Feature Networks, Provably
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Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
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Pencil: Long Thoughts with Short Memory
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