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Found 2 papers, 1 papers with code
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains
Inspired by the Markovianity of natural languages, we model the data as a Markovian source and utilize this framework to systematically study the interplay between the data-distributional properties, the transformer architecture, the learnt distribution, and the final model performance.
ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels
We study the problem of best-arm identification in a distributed variant of the multi-armed bandit setting, with a central learner and multiple agents.
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