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| Paper | Year | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
| A Diffusion Analysis of Policy Gradient for Stochastic Bandits Tor Lattimore Year: 2026Area: stat.MLCitations: - Tags: ai-safety, statml, preprint | 2026 | stat.ML | ai-safety, statml, preprint | E5 / R2 (96%) | - |
| Dependence Fidelity and Downstream Inference Stability in Generative Models Nazia Riasat Year: 2026Area: stat.MLCitations: - Tags: ai-safety, statml, preprint | 2026 | stat.ML | ai-safety, statml, preprint | - | - |
| Masked Unfairness: Hiding Causality within Zero ATE Sophia Xiao, Bijan Mazaheri, Zou Yang Year: 2026Area: stat.MLCitations: - Tags: ai-safety, statml, preprint | 2026 | stat.ML | ai-safety, statml, preprint | E5 / R3 (94%) | - |
| Permutation-Equivariant 2D State Space Models: Theory and Canonical Architecture for Multivariate Time Series Heung-Il Suk, Seungwoo Jeong Year: 2026Area: stat.MLCitations: - Tags: ai-safety, statml, preprint | 2026 | stat.ML | ai-safety, statml, preprint | E5 / R3 (95%) | - |
| Post-Training with Policy Gradients: Optimality and the Base Model Barrier Alireza Mousavi-Hosseini, Murat A. Erdogdu Year: 2026Area: stat.MLCitations: - Tags: ai-safety, statml, preprint | 2026 | stat.ML | ai-safety, statml, preprint | E5 / R3 (93%) | - |
| Worst-case low-rank approximations Jonas Peters, Markus Reichstein, David Blei, Anya Fries Year: 2026Area: stat.MLCitations: - Tags: ai-safety, statml, preprint | 2026 | stat.ML | ai-safety, statml, preprint | - | - |
| rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks Suryasis Jana, Abhik Ghosh Year: 2026Area: stat.MLCitations: - Tags: ai-safety, adversarial-robustness, statml, preprint | 2026 | stat.ML | ai-safety, adversarial-robustness, statml, preprint | - | - |
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