1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.DS2025
Parallel Sampling via Autospeculation
Nima Anari, Carlo Baronio, CJ Chen +4
We present parallel algorithms to accelerate sampling via counting in two settings: any-order autoregressive models and denoising diffusion models. An any-order autoregressive mode…
cs.LG2024
Efficiently learning and sampling multimodal distributions with data-based initialization
Frederic Koehler, Holden Lee, Thuy-Duong Vuong
We consider the problem of sampling a multimodal distribution with a Markov chain given a small number of samples from the stationary measure. Although mixing can be arbitrarily sl…
cs.DS2021★ 1 cited
Entropic Independence I: Modified Log-Sobolev Inequalities for Fractionally Log-Concave Distributions and High-Temperature Ising Models
Nima Anari, Vishesh Jain, Frederic Koehler +2
We introduce a notion called entropic independence that is an entropic analog of spectral notions of high-dimensional expansion. Informally, entropic independence of a background d…