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Showing papers from The University of Texas at Austin / Microsoft Research Show all papers

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Total Variation Distance Estimation in Autoregressive Models

Estimating total variation distance between autoregressive models uses Õ(n²K/ε²) samples, O(n/ε²) logit queries, and interpolates under noisy access, with practical LLM engine comparisons.

Eric Price, Kevin Tian, Zhiyang Xun, Yusong Zhu

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 4/10
strict 1/5
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Query Lower Bounds for Diffusion Sampling

Diffusion sampling requires $\tilde\Omega(\sqrt{d})$ adaptive score queries for $d$-dimensional distributions with polynomial accuracy, proving multiscale schedules are necessary.

Zhiyang Xun, Eric Price

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 4/5