| 2025 | Type Information-Assisted Self-Supervised Knowledge Graph Denoising. | Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang |
| 2025 | Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping. | Zexuan Sun, Garvesh Raskutti |
| 2025 | Spectral Representation for Causal Estimation with Hidden Confounders. | Haotian Sun, Antoine Moulin, Tongzheng Ren, Arthur Gretton, Bo Dai |
| 2025 | Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. | Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy |
| 2025 | Mixed-Feature Logistic Regression Robust to Distribution Shifts. | Qingshi Sun, Nathan Justin, Andrs Gmez, Phebe Vayanos |
| 2025 | M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling. | Xudong Sun, Nutan Chen, Alexej Gossmann, Yu Xing, Matteo Wohlrapp, Emilio Dorigatti, Carla Feistner, Felix Drost, Daniele Scarcella, Lisa Beer, Carsten Marr |
| 2025 | Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization. | Ziwei Su, Diego Klabjan |
| 2025 | The VampPrior Mixture Model. | Andrew Stirn, David A. Knowles |
| 2025 | A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries. | Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet |
| 2025 | Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems. | Mikolaj Slupinski |
| 2025 | Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence. | Berfin Simsek, Amire Bendjeddou, Daniel Hsu |
| 2025 | Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals. | Giora Simchoni, Saharon Rosset |
| 2025 | Credibility-Aware Multimodal Fusion Using Probabilistic Circuits. | Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan |
| 2025 | β-th order Acyclicity Derivatives for DAG Learning. | Madhumitha Shridharan, Garud Iyengar |
| 2025 | Neural Point Processes for Pixel-wise Regression. | Chengzhi Shi, Gzde zcan, Miquel Sirera Perell, Yuanyuan Li, Nina Iftikhar Shamsi, Stratis Ioannidis |
| 2025 | Dynamic DBSCAN with Euler Tour Sequences. | Seiyun Shin, Ilan Shomorony, Peter Macgregor |
| 2025 | Adaptive RKHS Fourier Features for Compositional Gaussian Process Models. | Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A. lvarez |
| 2025 | Prediction-Centric Uncertainty Quantification via MMD. | Zheyang Shen, Jeremias Knoblauch, Samuel Power, Chris J. Oates |
| 2025 | Multi-marginal Schrdinger Bridges with Iterative Reference Refinement. | Yunyi Shen, Renato Berlinghieri, Tamara Broderick |
| 2025 | Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data. | Taole Sha, Michael Minyi Zhang |
| 2025 | Decision-Point Guided Safe Policy Improvement. | Abhishek Sharma, Leo Benac, Sonali Parbhoo, Finale Doshi-Velez |
| 2025 | On the Geometry and Optimization of Polynomial Convolutional Networks. | Vahid Shahverdi, Giovanni Luca Marchetti, Kathln Kohn |
| 2025 | Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs. | Firooz Shahriari-Mehr, Ashkan Panahi |
| 2025 | Stein Boltzmann Sampling: A Variational Approach for Global Optimization. | Gatan Serr, Argyris Kalogeratos, Nicolas Vayatis |
| 2025 | Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models. | Pedro Seber, Richard D. Braatz |