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Showing papers from UW-Madison Show all papers

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NeurIPS 2026U Wisconsin—MadisonU Wisconsin - MadisonUW-MadisonArgonne National LaboratoryU Wisconsin-MadisonLLM agents & planning

Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents

RL post-training yields progress advantage, a log-ratio that recovers optimal step-level advantage without dedicated reward models, outperforming trained alternatives across agent benchmarks.

Changdae Oh, Wendi Li, Seongheon Park, Samuel (Min-Hsuan) Yeh and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 12

100% Readers1 of 1 upvoted
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AI panel: 18 of 20 reviewers recommend it
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medium 10/10
strict 3/5
45%Niche pick
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NeurIPS 2026UW-MadisonML systems & compilers

Efficient Adaptive Data Analysis over Dense Data Distributions

Joon Suk Huh

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

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NeurIPS 2026UW-MadisonPIT IN Cop.Offline RL

Variational Approach to Optimal IPS Estimator for Multi-logger Off-Policy Evaluation

Joon Suk Huh, Junghoon Seo

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

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NeurIPS 2026U Wisconsin - MadisonDepartment of Computer Science, UW-MadisonDeep RL

Anatomy of Off-Policy Policy Gradient: Importance Sampling, KL Regularization, and Baselines

Haoqun Cao, Yurun Yuan, Tengyang Xie

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Wisconsin - MadisonUW-MadisonU Wisconsin-MadisonDeep RL

Entropy Dynamics of Agent Reinforcement Learning

Wendi Li, Shawn Im, Sharon Li

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U Wisconsin-MadisonU Wisconsin - MadisonKoreaNVIDIAUW-MadisonDeep learning theory

Fast Sandwich Products in Clifford Algebra

Travis Pence, Daisuke Yamada, Jiaqi Mo, Chanyoung Moon and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Wisconsin - MadisonUW-MadisonDomain adaptation

Learning Optimal Transport Plans Via Autoregressive Token Regression

Ivan J Marquez, Takis Chytas, Vikas Singh

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Wisconsin - MadisonPekingUW-MadisonBayesian & probabilistic methods

Noise-Level KL Rates for Multi-Marginal Schrödinger Bridge Surrogates

Hui Chen, Shen Xu, Vikas Singh

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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83%Must read
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NeurIPS 2026UW-MadisonU Wisconsin - MadisonU Wisconsin—MadisonGeorgia Institute of TechologyU Wisconsin-MadisonVision-language-action models

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring

Hide-and-Seek formulates VLA failure detection as coarsely supervised learning to localize failure-indicative actions from trajectory-level labels alone via contrastive objectives, achieving state-of-the-art multi-task detection with practical accuracy-timeliness trade-offs.

Seongheon Park, Wendi Li, Changdae Oh, Samuel (Min-Hsuan) Yeh and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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80%Must read
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NeurIPS 2026Johns HopkinsUW-MadisonAdobe SystemsAgent memory

Personal Visual Memory from Explicit and Implicit Evidence

VisualMem adds structured personal visual memory to text backends, improving personalized agent recall of explicit and implicit visual evidence.

Viet Nguyen, Thao Nguyen, Vishal Patel, Yuheng Li

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
89%Must read
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NeurIPS 2026KoreaKorea Advanced Institute of ScieUW-MadisonKAISTDiffusion models

Learning to Solve Generative ODEs Beyond the Linear Span

SpanLift augments scalar ODE solvers with a spatial residual operator to overcome span limitations, achieving state-of-the-art few-step generative sampling without extra model evaluations.

Sihyeon Kim, Seunghun Lee, Vikas Singh, Hyunwoo J. Kim

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 2/5