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| 2025 | Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness. | Sangil Han, Kyoowon Kim, Sungkyu Jung |
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| 2025 | Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints. | Bassel Hamoud, Ilnura Usmanova, Kfir Yehuda Levy |
| 2025 | Mean-Field Microcanonical Gradient Descent. | Marcus Hggbom, Morten Karlsmark, Joakim Andn |
| 2025 | Clustering Context in Off-Policy Evaluation. | Daniel Guzman-Olivares, Philipp Schmidt, Jacek Golebiowski, Artur Bekasov |
| 2025 | On the Inherent Privacy of Zeroth-Order Projected Gradient Descent. | Devansh Gupta, Meisam Razaviyayn, Vatsal Sharan |
| 2025 | Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics. | Xiangyu Guo, Ricardo Henao |
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| 2025 | Performative Prediction on Games and Mechanism Design. | Antnio Gis, Mehrnaz Mofakhami, Fernando P. Santos, Gauthier Gidel, Simon Lacoste-Julien |
| 2025 | Natural Language Counterfactual Explanations for Graphs Using Large Language Models. | Flavio Giorgi, Cesare Campagnano, Fabrizio Silvestri, Gabriele Tolomei |
| 2025 | How Well Can Transformers Emulate In-Context Newton's Method? | Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee |
| 2025 | Deep Clustering via Probabilistic Ratio-Cut Optimization. | Ayoub Ghriss, Claire Monteleoni |
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| 2025 | DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows. | Jonathan Geuter, Clment Bonet, Anna Korba, David Alvarez-Melis |
| 2025 | Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible? | Argyrios Gerogiannis, Yu-Han Huang, Venugopal V. Veeravalli |
| 2025 | Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations. | Anand Jerry George, Nicolas Macris |
| 2025 | Powerful batch conformal prediction for classification. | Ulysse Gazin, Ruth Heller, tienne Roquain, Aldo Solari |
| 2025 | Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances. | Xuefeng Gao, Lingjiong Zhu |
| 2025 | An Iterative Algorithm for Rescaled Hyperbolic Functions Regression. | Yeqi Gao, Zhao Song, Junze Yin |
| 2025 | Harnessing Causality in Reinforcement Learning with Bagged Decision Times. | Daiqi Gao, Hsin-Yu Lai, Predrag Klasnja, Susan A. Murphy |
| 2025 | Parameter estimation in state space models using particle importance sampling. | Yuxiong Gao, Wentao Li, Rong Chen |