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Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities
Richard D. Paul, Anton Stratmann, Johann F. Jadebeck et al.
2026 UAI
2026 UAI
2026 UAI
Partially Observed Structural Causal Models
Turan Orujlu, Jordan Kyle Matelsky, Martin V. Butz et al.
2026 UAI
Falsifying Causal Graphs With Outlier Events
William Roy Orchard, Philipp Michael Faller, Dominik Janzing
2026 UAI
Prior-Fitted Functional Flows: In-Context Generative Models for Pharmacokinetics
César Ojeda, Niklas Hartung, Purity Kamene Kavwele et al.
2026 UAI
What Type of Inference is Active Inference?
Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar et al.
2026 UAI
Conformal Risk Minimization with Variance Reduction
Sima Noorani, Orlando Romero, Nicolo Dal Fabbro et al.
2026 UAI
Scaling Up Bayesian DAG Sampling
Daniele Nikzad, Alexander Zhilkin, Juha Harviainen et al.
2026 UAI
REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
Simon Dovan Nguyen, Hayden McTavish, Kentaro Hoffman et al.
2026 UAI
Adaptive and Robust Watermark for Generative Tabular Data
Dung Daniel Ngo, Archan Ray, Akshay Seshadri et al.
2026 UAI
Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing
Adhyyan Narang, Sarah Dean, Lillian J. Ratliff et al.
2026 UAI
IDCR: Information-Directed Conformal Retrieval
Manas Nanivadekar, Jatin Khanijoan, Swayam Kothekar et al.
2026 UAI
2026 UAI
Model Agnostic Graph Prompt Learning for Crystal Property Prediction
Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri et al.
2026 UAI