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| 2025 | LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits. | Masahiro Kato, Shinji Ito |
| 2025 | What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much? | Rafal Karczewski, Samuel Kaski, Markus Heinonen, Vikas K. Garg |
| 2025 | Nystrm Kernel Stein Discrepancy. | Florian Kalinke, Zoltn Szab, Bharath K. Sriperumbudur |
| 2025 | Transfer Neyman-Pearson Algorithm for Outlier Detection. | Mohammadreza M. Kalan, Eitan J. Neugut, Samory Kpotufe |
| 2025 | A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation. | Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo |
| 2025 | Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression. | Krzysztof Kacprzyk, Mihaela van der Schaar |
| 2025 | Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations. | Amir Joudaki, Thomas Hofmann |
| 2025 | On Local Posterior Structure in Deep Ensembles. | Mikkel Jordahn, Jonas Vestergaard Jensen, Mikkel N. Schmidt, Michael Riis Andersen |
| 2025 | Rethinking Neural-based Matrix Inversion: Why can't, and Where can. | Yuliang Ji, Jian Wu, Yuanzhe Xi |
| 2025 | Approximate Global Convergence of Independent Learning in Multi-Agent Systems. | Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman |
| 2025 | Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks. | Felix Jimenez, Matthias Katzfuss |
| 2025 | Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes. | Keyue Jiang, Bohan Tang, Xiaowen Dong, Laura Toni |
| 2025 | Application of Structured State Space Models to High energy physics with locality sensitive hashing. | Cheng Jiang, Sitian Qian |
| 2025 | Fairness Risks for Group-Conditionally Missing Demographics. | Kaiqi Jiang, Wenzhe Fan, Mao Li, Xinhua Zhang |
| 2025 | Estimation of Large Zipfian Distributions with Sort and Snap. | Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati, Lekha Patel, Jeff M. Phillips |
| 2025 | No-Regret Bayesian Optimization with Stochastic Observation Failures. | Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Kota Matsui, Yu Inatsu |
| 2025 | Near-Optimal Algorithm for Non-Stationary Kernelized Bandits. | Shogo Iwazaki, Shion Takeno |
| 2025 | Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression. | Tomoharu Iwata, Atsutoshi Kumagai, Yasutoshi Ida |
| 2025 | Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion. | Tomoharu Iwata, Atsutoshi Kumagai |
| 2025 | Learning Laplacian Positional Encodings for Heterophilous Graphs. | Michael Ito, Jiong Zhu, Dexiong Chen, Danai Koutra, Jenna Wiens |
| 2025 | Understanding GNNs and Homophily in Dynamic Node Classification. | Michael Ito, Danai Koutra, Jenna Wiens |
| 2025 | SemlaFlow - Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching. | Ross Irwin, Alessandro Tibo, Jon Paul Janet, Simon Olsson |
| 2025 | Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints. | Spencer Hutchinson, Tianyi Chen, Mahnoosh Alizadeh |
| 2025 | Geometric Collaborative Filtering with Convergence. | Hisham Husain, Julien Monteil |