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Showing papers from University of Wisconsin Madison Show all papers

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NeurIPS 2026Massachusetts Institute of TechnDepartment of Computer Science, U Wisconsin MadisonKernels & Gaussian processes

Approximate Matrix–Vectors Under a Bounded $\ell_1$ Assumption and Applications to Kernel Matrices

Rikhav Shah, Sandeep Silwal, Tony C Wang

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

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NeurIPS 2026Massachusetts Institute of TechnMITU Wisconsin MadisonBayesian & probabilistic methods

From Likelihood Convergence to Parameter Convergence in POMDPs

Jack Zhang, Saurabh Amin, Jiawei zhang, Patrick Jaillet

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Virginia Polytechnic Institute aU Wisconsin MadisonDartmouth CollegeVirginia TechLLM reasoning & chain of thought

SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance

SAGE mitigates long-horizon reasoning biases via symbolic closure analysis, using algebraic sparsification and hyperbolic guidance to suppress spurious branching and compounding errors, achieving up to 8-fold gains on sparse-reward benchmarks.

Xinyue Zeng, Jiawei zhang, Yujun Yan, Dawei Zhou

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code

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AI panel: 14 of 20 reviewers recommend it
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medium 9/10
strict 2/5