17.02.2025 talk

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kozmath

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Feb 9, 2025, 9:32:27 AM2/9/25
to Kolmogorov seminar on complexity
Hi all, 

On Monday February 17, Time: 18:30 (MSK), 16:30 (CET)
we have a talk of Sasha Kozachinskiy on 
computable online learning.

Zoom:
https://u-bordeaux-fr.zoom.us/j/88402787361?pwd=WktCdEhBT3pXN0pLUGg4Z3RuMlpsQT09

In the online learning setting, a learner receives an input x_1 to an unknown function f from a known hypothesis class H. The learner has to guess f(x_1). Then the learner receives the real value f(x_1), and the process repeats for x_2, x_3, and so on. The minimal number of mistakes that one can achieve on a hypothesis class H is known to be equal to the so-called Littlestone dimension of H.

What if the learner has to be computable? Or if the Littlestone dimension ``effective''? We will establish relationships between different versions of online learning when we impose computability conditions. Joint with Valentino Delle Rose and Tomasz Steifer. 

Sasha

Nikolay Vereshchagin

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Feb 17, 2025, 5:57:39 AM2/17/25
to Kolmogorov seminar on complexity
Reminder: today we have Sasha Kozachinsky's talk at 18:30 (MSK), 16:30 (CET)

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