IFML Seminar
IFML Seminar: 10/25/24 - Representation-based Reinforcement Learning
Abstract: Reinforcement learning often faces a trade-off between model flexibility and computational tractability. Flexible models can capture complex dynamics and policy but often introduce nonlinearity, making planning and exploration challenging. In this talk, we...
Upcoming 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…
Past Events
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October612:15 - 1 pm
IFML Seminar
Abstract: During this presentation, I will delve into an innovative class of optimization problems called finite-sum coupled compositional optimization…
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September2912:15 - 1 pm
IFML Seminar
Abstract: Datasets used in machine learning and statistics are huge and often imperfect, e.g., they contain corrupted data, examples with...
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September2212:15 - 1 pm
IFML Seminar
Abstract: Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations...
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September1512:15 - 1:15pm
IFML Seminar
Abstract: Whittle index policy is a powerful tool to obtain asymptotically optimal solutions for the notoriously intractable problem of restless...
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April2812:15 - 1 pm
IFML Seminar
We discuss the problem of positive-semidefinite extension: extending a partially specified covariance kernel from a subdomain Ω of a rectangular...
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Abstract: We demonstrate the power of combining the forward image acquisition model with deep learning solutions for inverse MRI problems...