Papers
Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities
Richard D. Paul, Anton Stratmann, Johann F. Jadebeck et al.
Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery
Min Woo Park, Taehui Yun, YoungIn Jang et al.
On Transportability for Structural Causal Bandits
Min Woo Park, Sanghack Lee
Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning
Shourya Pandey, Syamantak Kumar
Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees
Ryohei Oura, Georgios Fainekos, Hideki Okamoto et al.
Coarsening Bias from Variable Discretization in Causal Functionals
Xiaxian Ou, Razieh Nabi
Partially Observed Structural Causal Models
Turan Orujlu, Jordan Kyle Matelsky, Martin V. Butz et al.
Falsifying Causal Graphs With Outlier Events
William Roy Orchard, Philipp Michael Faller, Dominik Janzing
MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions
Hans Jarett Ong, Yoichi Chikahara, Tomoharu Iwata
Prior-Fitted Functional Flows: In-Context Generative Models for Pharmacokinetics
César Ojeda, Niklas Hartung, Purity Kamene Kavwele et al.
What Type of Inference is Active Inference?
Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar et al.
Conformal Risk Minimization with Variance Reduction
Sima Noorani, Orlando Romero, Nicolo Dal Fabbro et al.
Scaling Up Bayesian DAG Sampling
Daniele Nikzad, Alexander Zhilkin, Juha Harviainen et al.
Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits?
Bahar Dibaei Nia, Farzan Farnia
MUSS: Multilevel Subset Selection for Relevance and Diversity
Vu Nguyen, Andrey Kan
When Does Model Multiplicity Affect Prediction Intervals? A Sharp Phase Transition
Hai Nguyen, Khanh Nguyen, Hung Mai et al.
Tight rates of approximation of mixed Nash equilibria by entropy regularization in continuous games
Khang Nguyen, Valentio Iverson, Sahan Wijetunga et al.
REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
Simon Dovan Nguyen, Hayden McTavish, Kentaro Hoffman et al.
Adaptive and Robust Watermark for Generative Tabular Data
Dung Daniel Ngo, Archan Ray, Akshay Seshadri et al.
Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing
Adhyyan Narang, Sarah Dean, Lillian J. Ratliff et al.
IDCR: Information-Directed Conformal Retrieval
Manas Nanivadekar, Jatin Khanijoan, Swayam Kothekar et al.
Online Bootstrap Inference for the Trend of Nonstationary Time Series
Thomas Nagler, Tobias Brock, Nicolai Palm
Model Agnostic Graph Prompt Learning for Crystal Property Prediction
Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri et al.