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Showing papers from University of Massachusetts Amherst Show all papers

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NeurIPS 2026U Massachusetts AmherstU Massachusetts at AmherstDepartment of Computer Science, AI oversight & deception

Latent Barrier Steering: Hierarchical Safety for Generative Planning

Renhao Zhang, Mingzhe Li, Bruno Silva

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

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NeurIPS 2026U Massachusetts AmherstDepartment of Computer Science, Deep RL

Uncertainty-Guided Reward Labeling for Reinforcement Learning under Limited Feedback

Renhao Zhang, Shreyas Chaudhari, Bruno Silva

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U Massachusetts AmherstDepartment of Computer Science, Google DeepMindU Massachusetts, AmherstLLM evaluation & benchmarks

Evaluating Compositional Generalization in Transformers: The Role of Composition Equivalence and Module Coverage

Purva Pruthi, Andrew Yuan, Alexander D'Amour, David Jensen

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

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NeurIPS 2026UMass AmherstU Massachusetts AmherstU Massachusetts at AmherstToyota Technological Instute at Finance & economics

Two-Sided Learning in Matching Markets with Interviews

Amirmahdi Mirfakhar, Xuchuang Wang, Mengfan Xu, Hedyeh Beyhaghi and 1 more

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

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NeurIPS 2026U Massachusetts AmherstU Massachusetts at AmherstDepartment of Computer Science, Bayesian & probabilistic methods

Bayesian Optimization on Function Spaces via Sparse RKHS Manifolds

Davide Sartor, Meghan E Huber, Donghyun Kim, Nathan Wycoff

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

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NeurIPS 2026ShenzhenRensselaer Polytechnic InstituteU Massachusetts AmherstLearning theory

Quantum Best Arm Identification with Limited Round of Adaptivity: Lower Bounds and Algorithms

Haoran Li, Chen Wang, Xuchuang Wang

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

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NeurIPS 2026New YorkU Massachusetts at AmherstPineconeU Massachusetts AmherstInformation retrieval

On Worst-Case Guarantees for Graph-Based Nearest-Neighbor Search

Majid Daliri, Mohammadreza Daneshvaramoli, Purna Dutta, Edo Liberty and 3 more

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

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72%Highly rated
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NeurIPS 2026U Massachusetts AmherstU Massachusetts at AmherstState University of New York at University at BuffaloLearning theory

Intrinsic Riemannian Cross-covariance for Manifold-valued Random Objects

Intrinsic Riemannian cross-covariance defines manifold-valued covariance via parallel transport to a common tangent space, yielding coordinate-independent second-order descriptors with Euclidean-like properties and verified asymptotic behavior.

Carlos Soto, Cheng Wang, Yujing Huang, Xiaoyu Chen

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
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NeurIPS 2026SpotlightU Massachusetts AmherstAdobe ResearchBostonUMass AmherstU Massachusetts, AmherstMechanistic interpretability

The Curse of Multiple Mediators: Hidden Interaction Effects in Activation Patching

Activation patching's natural indirect effect embeds hidden interaction effects between components, which cause conditional importance to be invisible or inflated, explain faithfulness instability, scale with activation distance, and diagnose when greedy component ranking misses combinatorial mechan

Sankaran Vaidyanathan, David Arbour, Aaron Mueller, Scott Niekum and 1 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 2/5
medium 7/10
strict 3/5