| 1 | General Quantification of Covariate and Concept Shifts | Hongbo Chen, Li Charlie Xia | cs.LG | 2026-09-10 |
| 2 | Near-Optimal Reinforcement Learning with Multi-Step Transition Lookahead | Corentin Pla, Hugo Richard, Marc Abeille +1 | stat.ML | 2026-09-10 |
| 3 | Musec: MomentUm SpEctral Clipping for Stable Muon-type Training | Zhuanghua Liu, Menglian Wang, Luo Luo | cs.LG | 2026-09-10 |
| #4 | RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation | Ramiro Valdes Jara, David Chapman, Adam Meyers | cs.LG | 2026-09-10 |
| #5 | Particle GFlowNets: Rethinking Generative Marginalization Models | Tiago da Silva, Diego Mesquita, Salem Lahlou | cs.LG | 2026-09-10 |
| #6 | BridgeMatch: Conditional Transport Bridges in Matching Matrix Space for 3D Deformable Registration | Qianliang Wu, Haobo Jiang, Guangwei Gao +4 | cs.CV | 2026-09-10 |
| #7 | Deep operator learning for efficient sampling from invariant measures of stochastic differential equations | Ling Guo, Lei Li, Jingtong Zhang | math.NA | 2026-09-10 |
| #8 | Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1 | Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +2 | cs.AI | 2026-09-10 |
| #9 | Uncertainty DMD: Restoring Diversity in Few-Step Autoregressive Video Distillation | Zixuan Duan, Xunzhi Xiang, Yabo Chen +6 | cs.CV | 2026-09-10 |
| #10 | From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs | Shuyuan Zhang, Zihan Wang, Xiao-Wen Chang +1 | cs.LG | 2026-09-09 |
| #11 | Architecting the Secure AI-SOC: A Neurosymbolic Framework for Pipeline Integrity and Threat Mitigation | Anna Gazani, Spyridon Kounoupidis, Panagiotis Katsaros +3 | cs.CR | 2026-09-09 |
| #12 | Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System | Alex Leytes | cs.AI | 2026-09-09 |
| #13 | Meta-LinEXP3: Online-within-Online Learning for Adversarial Linear Contextual Bandits | Hao Li, Jie Xu, Zheng Xie | cs.LG | 2026-09-09 |
| #14 | Beyond Conventional Federated Learning via High-Order Regularization | Alireza Kabgani, Masoud Ahookhosh | cs.LG | 2026-09-09 |
| #15 | Decision Transformer for UAV-Mounted RIS-Assisted Dynamic D2D Communications | Yaxuan Liu | cs.AI | 2026-09-09 |
| #16 | Settling: Equilibrium Inference for Non-Convex Validity Sets | Lyes Saad Saoud | cs.LG | 2026-09-09 |
| #17 | A Function-Space Approach to the Statistical Mechanics of Learning Dynamics | Yizhou Zhang, Weichen Wu, Lun Du +1 | cs.AI | 2026-09-09 |
| #18 | Distillation of Synthetic Data for Time Series Foundation Models | Niloy Biswas, Noureddine El Karoui | stat.ML | 2026-09-09 |
| #19 | Oracle Complexity of Stochastic Fixed-Point Equations with Nonexpansive Maps | Jelena Diakonikolas, Cristóbal Guzmán, David Martínez-Rubio | math.OC | 2026-09-08 |
| #20 | StochBench: A Domain-Specific Benchmark for Stochastic Processes in Lean | Idan Davidovich, Debargha Ganguly, Vikash Singh +1 | cs.CL | 2026-09-08 |
| #21 | NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting | Tobias Susetzky, Raphael Rehms, Dmitrii Seletkov +5 | cs.LG | 2026-09-08 |
| #22 | Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning | Mar Gonzàlez I Català, Haitz Sáez de Ocáriz Borde, Davide Murari +3 | cs.AI | 2026-09-08 |
| #23 | PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise | Mihaly Petreczky, Mohamad Al Ahdab, John Leth | cs.LG | 2026-09-08 |
| #24 | AlphaRJM: Reward-Jump Memory for Stochastic Return-Guided Alpha Discovery | Sayan Dhan, Selvaraju Natarajan | cs.LG | 2026-09-08 |
| #25 | The Exact Time-Uniform Rate Frontier for Stochastic Gradient Descent on Smooth Convex Objectives | Ruijie Li, Kang Chen, Tianyu Wang | math.OC | 2026-09-08 |
| #26 | Stochastically Perturbed Weights: Ensembles from Deterministic Machine-Learning Weather Models | Simon Adamov, Oliver Fuhrer, Reto Knutti +1 | cs.LG | 2026-09-08 |
| #27 | How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond | Ahmet Alacaoglu | math.OC | 2026-09-08 |
| #28 | Revisiting Spectral Representations in Generative Diffusion Models | Yuehao Wang, Peihao Wang, Hanwen Jiang +3 | cs.LG | 2026-09-08 |
| #29 | Speed Limit for Information Acquisition in Stochastic Learning Dynamics | Shuta Kobayashi, Andreas Dechant | cond-mat.stat-mech | 2026-09-08 |
| #30 | DRIFT: Removing Diffusion Watermarks by Deflecting the Generative Trajectory | Rui Bao, Zheng Gao, Xiaoyu Li +3 | cs.CR | 2026-09-08 |
| #31 | AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers | Alexander Crosier, Kyle Onghai, Ronnie Sircar | q-fin.GN | 2026-09-08 |
| #32 | GPU-Enabled Large-Scale Optimization Using Randomized Linear Algebra | Pratik Rathore, Zachary Frangella, Parth Nobel +2 | cs.LG | 2026-09-08 |
| #33 | Sparse Data Augmentation for Optimization with Provable Guarantees | Behrooz Tahmasebi, Melanie Weber | cs.LG | 2026-09-08 |
| #34 | A Machine Learning Framework for Predicting Restaurant Food Waste to Support Sustainable Food Management | Md Mehedi Hasan Naeem, Md Ashraful Islam, Moumita Barua +2 | cs.LG | 2026-09-08 |
| #35 | Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case Study | Aayush Patel, Andrzej Ruszczyński | cs.AI | 2026-09-07 |
| #36 | Sharp Structure-Agnostic Minimax Risk for Partial Linear Models | Haichen Hu, David Simchi-Levi | cs.LG | 2026-09-07 |
| #37 | Support Topology and Gradient Mixing in Sinkhorn Layers | Dylan Forde | cs.AI | 2026-09-07 |
| #38 | APPSim-Bench: Bridging Real-world Apps and Reproducible Evaluation for Mobile GUI Agents | Jintian Feng, Long Chen, Xiao Yu +7 | cs.AI | 2026-09-07 |
| #39 | Human mutation field reveals an equilibrium-like structure with irreversible circulation | Isabella Caranzano, Daniel Maria Busiello, Stefano Priorelli +2 | q-bio.GN | 2026-09-07 |
| #40 | Latent-to-Latent Flow for Volumetric Stochastic Segmentation | Omar Todd, Sooha Kim, Raghav Mehta +5 | cs.CV | 2026-09-07 |
| #41 | Large Discrete Policy: Advancing Explicit Behavior Modeling with Stochastic Iterative Scoring | Zhenxin Li, Nadine Chang, Xinglong Sun +8 | cs.RO | 2026-09-07 |
| #42 | Multi-History-Step SDE Inversion for Image Editing with Superior Regional Awareness | Haiyan Wei, Yunlong Wang, Huaibo Huang +2 | cs.CV | 2026-09-06 |
| #43 | Stochastic Nonconvex Bilevel Optimization: Improved Rates Without Rare-Visit Assumption | Daniel Cortild, Mathias Staudigl, Juan Peypouquet +1 | math.OC | 2026-09-06 |
| #44 | Power Mean Estimation in Stochastic Continuous Monte Carlo Tree Search | Tuan Dam | cs.LG | 2026-09-06 |
| #45 | Stability and Generalization of Straight-Through Estimators for Training Two-Layer Quantized Neural Networks | Yiming Ying | cs.LG | 2026-09-06 |
| #46 | Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference | Mostafa Elhoushi, Alex Pretko, Nolan Dey +6 | cs.AI | 2026-09-04 |
| #47 | Reinforcement Learning for Sequential Solar PV Policy Design under Uncertainty: An Agent-Based Approach | Iias Faiud, Jonaid Shianifar, Michael Schukat +1 | cs.AI | 2026-09-04 |
| #48 | Forgetting Without Restarting: Execution-State Unlearning for Stateful LLM Agents | Chao Yao, Yangbo Wei, Zhen Huang +5 | cs.CR | 2026-09-04 |
| #49 | Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning | Ming Xiang, Stratis Ioannidis, Edmund Yeh +2 | cs.LG | 2026-09-04 |
| #50 | Centered Permutation Prefixes for SGD with Random Reshuffling: Sharp Rates, Hölder Geometry, and Composite Proximal Extensions | Jiaxiang Li | math.OC | 2026-09-04 |