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| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Showing 61-70 of 70 papers (page 3 of 3)路 40 ms
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
| A Diffusion Analysis of Policy Gradient for Stochastic Bandits Tor Lattimore Published: 2026-03-10Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-03-10 | stat.ML | ai-safety, preprint, statml | E5 / R2 (96%) | - |
| Masked Unfairness: Hiding Causality within Zero ATE Bijan Mazaheri, Sophia Xiao, Zou Yang Published: 2026-03-07Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-03-07 | stat.ML | ai-safety, preprint, statml | E5 / R3 (94%) | - |
| Permutation-Equivariant 2D State Space Models: Theory and Canonical Architecture for Multivariate Time Series Heung-Il Suk, Seungwoo Jeong Published: 2026-03-07Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-03-07 | stat.ML | ai-safety, preprint, statml | E5 / R3 (95%) | - |
| Post-Training with Policy Gradients: Optimality and the Base Model Barrier Alireza Mousavi-Hosseini, Murat A. Erdogdu Published: 2026-03-07Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-03-07 | stat.ML | ai-safety, preprint, statml | E5 / R3 (93%) | - |
| From Shallow Bayesian Neural Networks to Gaussian Processes: General Convergence, Identifiability and Scalable Inference Fl谩vio B. Gon莽alves, Gracielle Antunes de Ara煤jo Published: 2026-02-26Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-02-26 | stat.ML | ai-safety, preprint, statml | E10 / R7 (93%) | - |
| Scaling Laws for Precision in High-Dimensional Linear Regression Dechen Zhang, Difan Zou, Xuan Tang, Yingyu Liang Published: 2026-02-22Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-02-22 | stat.ML | ai-safety, preprint, statml | E10 / R8 (91%) | - |
| A Hybrid Tsallis-Polarization Impurity Measure for Decision Trees: Theoretical Foundations and Empirical Evaluation Edouard Lansiaux, Hayfa Zgaya-Biau, Idriss Jairi Published: 2026-02-19Area: stat.MLCitations: - Tags: ai-safety, preprint, safety-evaluation, statml | 2026-02-19 | stat.ML | ai-safety, preprint, safety-evaluation, statml | E10 / R9 (92%) | - |
| Conjugate Learning Theory: Uncovering the Mechanisms of Trainability and Generalization in Deep Neural Networks Binchuan Qi Published: 2026-02-18Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-02-18 | stat.ML | ai-safety, preprint, statml | E9 / R7 (92%) | - |
| Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models Adam E. Foster, Cecilia Clementi, Christopher M. Bishop, Frank No茅 Published: 2026-02-18Area: stat.MLCitations: - Tags: ai-safety, preprint, statml | 2026-02-18 | stat.ML | ai-safety, preprint, statml | E9 / R10 (92%) | - |
| Assessing Per-Sample Membership Inference Vulnerability without Retraining Jamal Atif, Olivier Capp茅, Valentin Dorseuil Published: 2026-02-17Area: stat.MLCitations: 45 Tags: ai-safety, preprint, statml | 2026-02-17 | stat.ML | ai-safety, preprint, statml | E7 / R6 (89%) | 45 |