| When Muon Optimizer Meets Adversarial Training: A Theoretical and Empirical Study | Theory | Jun Yan +6 | May 26, 2026 | — |
| Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting | Theory | Jinjin Chi +8 | May 24, 2026 | — |
| Optimal Non-Asymptotic Edgeworth Expansions for Multivariate Neural Network Outputs | Theory | Lucia Celli | May 22, 2026 | — |
| Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise | Theory | Jiayu Zhang +1 | May 18, 2026 | — |
| Generative Adversarial Learning from Deterministic Processes | Theory | Joris C. Kühl +1 | May 18, 2026 | — |
| New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions | Theory | Xinzhe Yuan +3 | May 18, 2026 | — |
| MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks | Theory | Hyo Seo Kim +5 | May 18, 2026 | — |
| The Geometry of Projection Heads: Conditioning, Invariance, and Collapse | Theory | Faris Chaudhry | May 16, 2026 | — |
| Prediction-Intervention Games and Invariant Sets | Theory | Linus Kühne +2 | May 16, 2026 | — |
| Testing properties of trees in graphical models with covariance queries | Theory | Sofiya Burova +3 | May 15, 2026 | — |
| Entropy-Based Characterisation of the Polarised Regime in Latent Variable Models | Theory | Peter Clapham +2 | May 15, 2026 | — |
| Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise | Theory | Antesh Upadhyay +2 | May 14, 2026 | — |
| Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting | Theory | Laura Lützow +4 | May 12, 2026 | — |
| Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods | Theory | Roozbeh Razavi-Far +8 | May 12, 2026 | — |
| A Mixture Autoregressive Image Generative Model on Quadtree Regions for Gaussian Noise Removal via Variational Bayes and Gradient Methods | Theory | Shota Saito +5 | May 12, 2026 | — |
| Nearly-Optimal Algorithm for Adversarial Kernelized Bandits | Theory | Shogo Iwazaki | May 11, 2026 | — |
| Quantitative Local Convergence of Mean-Field Stein Variational Gradient Flow | Theory | Lénaïc Chizat +3 | May 10, 2026 | — |
| Sample Complexity of Stochastic Optimization with Integer Variables | Theory | Hongyu Cheng +3 | May 8, 2026 | — |
| Dynamic Controlled Variables Based Dynamic Self-Optimizing Control | Theory | Chenchen Zhou +5 | May 7, 2026 | — |
| Distributed Learning with Adversarial Gradient Perturbations | Theory | Nawapon Sangsiri +1 | May 5, 2026 | — |