2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Information Bottleneck under Perfect Privacy
Junle Zhong, Mohamad Assaad, Sreejith Sreekumar
In this work, we study the information bottleneck under perfect privacy, with particular emphasis on the active-rate regime, where the representation-rate constraint is binding and…
Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings
Sreejith Sreekumar, Nir Weinberger
Maximum likelihood prediction (MLP) is a core task at the heart of modern large language models. Here, we study a quantum version of this task for a simplified data model consistin…
One-shot Multiple Access Channel Simulation
Aditya Nema, Sreejith Sreekumar, Mario Berta
We consider the problem of shared randomness-assisted multiple access channel (MAC) simulation for product inputs and characterize the one-shot communication cost region via almost…
Deviation Inequalities for Rényi Divergence Estimators via Variational Expression
Sreejith Sreekumar, Kengo Kato
Rényi divergences play a pivotal role in information theory, statistics, and machine learning. While several estimators of these divergences have been proposed in the literature w…