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Marco Bondaschi
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7
Transformers on Markov Data: Constant Depth Suffices
25 July 2024 by
Nived Rajaraman
and
others
Machine Learning
,
Computation and Language
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
22 July 2024 by
Adway Girish
and
others
Machine Learning
,
Computation and Language
Local to Global: Learning Dynamics and Effect of Initialization for Transformers
27 June 2024 by
Ashok Vardhan Makkuva
and
others
Machine Learning
,
Information Theory
Alpha-NML Universal Predictors
1 May 2024 by
Marco Bondaschi
and
Michael Gastpar
at
École Polytechnique Fédérale De Lausanne
Information Theory
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains
6 February 2024 by
Ashok Vardhan Makkuva
and
others
at
École Polytechnique Fédérale De Lausanne
Machine Learning
,
Computation and Language
LASER: Linear Compression in Wireless Distributed Optimization
6 February 2024 by
Ashok Vardhan Makkuva
and
others
Neural and Evolutionary Computing
,
Artificial Intelligence
Batch Universal Prediction
6 February 2024 by
Marco Bondaschi
and
Michael Gastpar
Information Theory
,
Machine Learning
A revisitation of zero-rate bounds on the reliability function of discrete memoryless channels
2 April 2021 by
Marco Bondaschi
and
Marco Dalai
Information Theory
Zero-rate reliability function for mismatched decoding
26 January 2021 by
Marco Bondaschi
and
others
Information Theory
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Topics
Information Theory
Machine Learning
Computation and Language
Neural and Evolutionary Computing
Artificial Intelligence
