IFML Seminar
IFML Seminar: 11/1/24 - Tensor Networks and Phase Transitions in Machine Learning
Speaker Bio: Cristopher Moore received his B.A. in Physics, Mathematics, and Integrated Science from Northwestern University, and his Ph.D. in Physics from Cornell. From 2000 to 2012 he was a professor at the University...
Upcoming Events
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November112:15 - 1 pm
IFML Seminar
Speaker Bio: Cristopher Moore received his B.A. in Physics, Mathematics, and Integrated Science from Northwestern University, and his Ph.D. in...
Past Events
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October2512:15 - 1 pm
IFML Seminar
Abstract: Reinforcement learning often faces a trade-off between model flexibility and computational tractability. Flexible models can capture complex…
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October1712:15 - 1 pm
IFML Seminar
Abstract: I will argue that deep networks work well because of a characteristic structure in the space of learnable tasks...
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October412:15 - 1 pm
IFML Seminar
Abstract: Sequential decision-making (SDM) is crucial for adapting machine learning to dynamic real-world scenarios such as fluctuating markets or…
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September2712:15 - 1 pm
IFML Seminar
Abstract: One of the most natural approaches to reinforcement learning (RL) with function approximation is value iteration, which inductively generates…
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September1312:15 - 1 pm
IFML Seminar
Abstract: We consider the problem of model selection in a high-dimensional sparse linear regression model under privacy constraints. We propose...
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September612:15 - 1 pm
IFML Seminar
Abstract: From the moment we open our eyes, we are surrounded by people. By observing the people around us, we...