| 2025 | Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem. | Zijun Gao, Shu Ge, Jian Qian |
| 2025 | Causal Discovery-Driven Change Point Detection in Time Series. | Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu |
| 2025 | Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error. | Zijun Gao |
| 2025 | Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs. | Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal |
| 2025 | Analyzing Generative Models by Manifold Entropic Metrics. | Daniel Galperin, Ullrich Kthe |
| 2025 | Choice is what matters after Attention. | Chenhan Fu, Guoming Wang, Juncheng Li, Rongxing Lu, Siliang Tang |
| 2025 | Structure based SAT dataset for analysing GNN generalisation. | Yi Fu, Anthony Tompkins, Yang Song, Maurice Pagnucco |
| 2025 | Epistemic Uncertainty and Excess Risk in Variational Inference. | Futoshi Futami |
| 2025 | Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. | Fabian Fumagalli, Maximilian Muschalik, Eyke Hllermeier, Barbara Hammer, Julia Herbinger |
| 2025 | Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. | Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi |
| 2025 | Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants. | Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini |
| 2025 | Hyperbolic Prototypical Entailment Cones for Image Classification. | Samuele Fonio, Roberto Esposito, Marco Aldinucci |
| 2025 | Tighter Confidence Bounds for Sequential Kernel Regression. | Hamish Flynn, David Reeb |
| 2025 | Infinite Width Limits of Self Supervised Neural Networks. | Maximilian Fleissner, Gautham Govind Anil, Debarghya Ghoshdastidar |
| 2025 | Differentially Private Graph Data Release: Inefficiencies & Unfairness. | Ferdinando Fioretto, Diptangshu Sen, Juba Ziani |
| 2025 | On the Asymptotic Mean Square Error Optimality of Diffusion Models. | Benedikt Fesl, Benedikt Bck, Florian Strasser, Michael Baur, Michael Joham, Wolfgang Utschick |
| 2025 | Strong Screening Rules for Group-based SLOPE Models. | Fabio Feser, Marina Evangelou |
| 2025 | Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment. | Qizhang Feng, Siva Rajesh Kasa, Santhosh Kumar Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati |
| 2025 | Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition. | Jake Fawkes, Lucile Ter-Minassian, Desi R. Ivanova, Uri Shalit, Christopher C. Holmes |
| 2025 | The Hardness of Validating Observational Studies with Experimental Data. | Jake Fawkes, Michael O'Riordan, Athanasios Vlontzos, Oriol Corcoll, Ciarn Mark Gilligan-Lee |
| 2025 | StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling. | Zhongxi Fang, Xun Su, Tomohisa Tabuchi, Jianming Huang, Hiroyuki Kasai |
| 2025 | On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark. | Jaiden Fairoze, Guillermo Ortiz-Jimnez, Mel Vecerk, Somesh Jha, Sven Gowal |
| 2025 | Gated Recurrent Neural Networks with Weighted Time-Delay Feedback. | N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney |
| 2025 | Online Assortment and Price Optimization Under Contextual Choice Models. | Yigit Efe Erginbas, Thomas A. Courtade, Kannan Ramchandran |
| 2025 | Dissecting the Impact of Model Misspecification in Data-Driven Optimization. | Adam N. Elmachtoub, Henry Lam, Haixiang Lan, Haofeng Zhang |