Stochastic Processes

Stability and Generalization for Stochastic (Compositional) Optimizations IJCAI 2025 Stabilized Neural Prediction of Potential Outcomes in Continuous Time ICLR 2025 State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting IJCAI 2025 Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025 Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning EMNLP 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025 Structural-Entropy-Based Sample Selection for Efficient and Effective Learning ICLR 2025 Supervised Score-Based Modeling by Gradient Boosting AAAI 2025 SyncSDE: A Probabilistic Framework for Diffusion Synchronization CVPR 2025 Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition ICLR 2025 Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic ACL 2025 Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks CVPR 2025 TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering CVPR 2025 TeRDy: Temporal Relation Dynamics through Frequency Decomposition for Temporal Knowledge Graph Completion ACL 2025 Test-time Alignment of Diffusion Models without Reward Over-optimization ICLR 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025 The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025 The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games? EMNLP 2025 The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage ACL 2025 The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations EMNLP 2025 The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise JMLR 2025 Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025 The Superposition of Diffusion Models Using the Itô Density Estimator ICLR 2025 Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation ICLR 2025