UAI 2025 Conference Submissions

Constraint-based Causal Discovery from a Collection of Conditioning Sets
Kenneth Lee, Bruno Ribeiro, Murat Kocaoglu
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
Paula Rodriguez-Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
A Unified Data Representation Learning for Non-parametric Two-sample Testing
Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
Hwanwoo Kim, Chong Liu, Yuxin Chen
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Robust Optimization with Diffusion Models for Green Security
Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles
Pablo Flores, Olga Graf, Pavlos Protopapas, Karim Pichara
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery
Sana Tonekaboni, Tina Behrouzi, Addison Weatherhead, Emily Fox, David Blei, Anna Goldenberg
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Budget Allocation Exploiting Label Correlation between Instances
Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Measuring IIA Violations in Similarity Choices with Bayesian Models
Hugo Sales Correa, Suryanarayana Sankagiri, Daniel R. Figueiredo, Matthias Grossglauser
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Mixup Regularization: A Probabilistic Perspective
Yousef El-Laham, Niccolo Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Learning from Label Proportions and Covariate-shifted Instances
Sagalpreet Singh, Navodita Sharma, Shreyas Havaldar, Rishi Saket, Aravindan Raghuveer
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Conditional Average Treatment Effect Estimation Under Hidden Confounders
Ahmed Aloui, Juncheng Dong, Ali Hasan, Vahid Tarokh
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
Xue Zhou, Dapeng Man, Chen Xu, Fanyi Zeng, Tao Liu, Huan Wang, Shucheng He, Chaoyang Gao, Wu Yang
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Optimal Transport for Probabilistic Circuits
Adrian Ciotinga, YooJung Choi
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
CATE Estimation With Potential Outcome Imputation From Local Regression
Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
I-Cheng Lin, Osman Yagan, Carlee Joe-Wong
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Best Arm Identification with Possibly Biased Offline Data
Le Yang, Vincent Y. F. Tan, Wang Chi Cheung
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
Ally Yalei Du, Eric Huang, Dravyansh Sharma
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
DF$^2$: Distribution-Free Decision-Focused Learning
Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Relational Causal Discovery with Latent Confounders
Matteo Negro, Andrea Piras, Ragib Ahsan, David Arbour, Elena Zheleva
- Published: 07 May 2025, Last Modified: 01 Jul 2025
- UAI 2025 Poster
- Readers: Everyone
Adversarial Training May Induce Deteriorating Distributions
Runzhi Tian, Yongyi Mao
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set
Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel, Weijun Xie
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Learning Robust XGBoost Ensembles for Regression Tasks
Atri Vivek Sharma, Panagiotis Kouvaros, Alessio Lomuscio
- Published: 07 May 2025, Last Modified: 17 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference
Mert Ketenci, Adler J Perotte, Noémie Elhadad, Iñigo Urteaga
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone
Off-policy Predictive Control with Causal Sensitivity Analysis
Myrl G Marmarelis, Ali Hasan, Kamyar Azizzadenesheli, R. Michael Alvarez, Anima Anandkumar
- Published: 07 May 2025, Last Modified: 13 Jun 2025
- UAI 2025 Poster
- Readers: Everyone