| 2025 | Toward Universal Laws of Outlier Propagation. | Aram Ebtekar, Yuhao Wang, Dominik Janzing |
| 2025 | Learning Causal Response Representations through Direct Effect Analysis. | Homer Durand, Gherardo Varando, Gustau Camps-Valls |
| 2025 | Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees. | Ally Yalei Du, Eric Huang, Dravyansh Sharma |
| 2025 | Computationally Efficient Methods for Invariant Feature Selection with Sparsity. | Jane Du, Arindam Banerjee |
| 2025 | Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies. | Liang Duan, Xinran Wu, Xinhui Li, Lixing Yu, Kun Yue |
| 2025 | Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles. | Mathias Drton, Marina Garrote-Lpez, Niko Nikov, Elina Robeva, Y. Samuel Wang |
| 2025 | Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation. | Simon Dirmeier, Carlo Albert, Fernando Prez-Cruz |
| 2025 | Nearly Optimal Differentially Private ReLU Regression. | Meng Ding, Mingxi Lei, Shaowei Wang, Tianhang Zheng, Di Wang, Jinhui Xu |
| 2025 | Valid Bootstraps for Network Embeddings with Applications to Network Visualisation. | Emerald Dilworth, Ed Davis, Daniel John Lawson |
| 2025 | What is the Right Notion of Distance between Predict-then-Optimize Tasks? | Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe |
| 2025 | Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning. | Francesco Diana, Andr Nusser, Chuan Xu, Giovanni Neglia |
| 2025 | Calibrated Regression Against An Adversary Without Regret. | Shachi Deshpande, Charles Marx, Volodymyr Kuleshov |
| 2025 | Optimal Submanifold Structure in Log-linear Models. | Zhou Derun, Mahito Sugiyama |
| 2025 | ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks. | Sina Dubener, Simon Damm, Asja Fischer |
| 2025 | Online Learning with Stochastically Partitioning Experts. | Puranjay Datta, Sharayu Moharir, Jaya Prakash Champati |
| 2025 | The Relativity of Causal Knowledge. | Gabriele D'Acunto, Claudio Battiloro |
| 2025 | Measuring IIA Violations in Similarity Choices with Bayesian Models. | Hugo Sales Correa, Suryanarayana Sankagiri, Daniel R. Figueiredo, Matthias Grossglauser |
| 2025 | Proximal Interacting Particle Langevin Algorithms. | Paula Cordero-Encinar, Francesca R. Crucinio, mer Deniz Akyildiz |
| 2025 | RL, but don't do anything I wouldn't do. | Michael K. Cohen, Marcus Hutter, Yoshua Bengio, Stuart Russell |
| 2025 | Building Conformal Prediction Intervals with Approximate Message Passing. | Lucas Clart, Lenka Zdeborov |
| 2025 | Optimal Transport for Probabilistic Circuits. | Adrian Ciotinga, YooJung Choi |
| 2025 | Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence. | Tristan Cinquin, Robert Bamler |
| 2025 | Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs. | Yoonhyuk Choi, Taewook Ko, Jiho Choi, Chong-Kwon Kim |
| 2025 | Improving Graph Contrastive Learning with Community Structure. | Xiang Chen, Kun Yue, Liang Duan, Lixing Yu |
| 2025 | Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits. | Wenjing Chen, Shuo Xing, Victoria G. Crawford |