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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October112 - 3 pm
Ethics/Fairness in AI Seminar
Traditional group fairness definitions are typically defined with respect to a specified classification of people into protected groups, despite many…
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October83 - 4 pm
ML+ X Seminar
Abstract: Understanding how two datasets differ can help us determine whether one dataset under-represents certain sub-populations, and provides…
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October112 - 1 pm
Foundational Research Seminar
Abstract: Recent theoretical works on over-parameterized neural nets have focused on two aspects: optimization and generalization. Many existing works…
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September33 - 4 pm
ML+ X Seminar
Abstract Reinforcement learning (RL) has gained popularity in the research community as a model-free and adaptive control paradigm for the...
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August302 - 3 pm
Foundational Research Seminar
The talk will cover two complexity-theoretic results from optimization. We will review work on an accelerated algorithm (à la Nesterov)...
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August23throughAugust31