Author

Nabarun Deb

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#machine learning Preprint Oct 2026

Sample complexity bounds for categorical Markov random fields via Discrete Diffusions

Many applications in statistics, economics, and physics require sampling from high-dimensional categorical distributions with local dependence structures. Examples include finite memory language models, Ising and Potts systems in statistical physics and protein folding, etc. In modern machine learning, discrete diffusi...

Shivam Kumar, Nabarun Deb · 0 citations

Preprint Sep 2026

LDP for Tensor Forms

In this paper, we study the large deviation principle (LDP) for a tensor-weighted functional of i.i.d. random variables, when the sequence of tensors converges under a variant of the"bad"cut norm. Using the LDP, we analyze a Gibbs measure with a tensor-valued Hamiltonian, and characterize the optimizers of the limiting...

Reihaneh Malekian, Sohom Bhattacharya, Nabarun Deb et al. · 0 citations