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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025
Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025
Calibrating Large Language Models with Sample Consistency AAAI 2025
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces AAAI 2025
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications AAAI 2025
Supervised Score-Based Modeling by Gradient Boosting AAAI 2025
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation AAAI 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025
Generative Adversarial Networks: Dynamics JMLR 2025
Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories CVPR 2025
A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025
Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025
Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent AAAI 2025
Variance-Aware Estimation of Kernel Mean Embedding JMLR 2025
Who Remembers What? Tracing Information Fidelity in Human-AI Chains AACL 2025
Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD SEMEVAL 2025
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction IJCNLP 2025
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025
Random ReLU Neural Networks as Non-Gaussian Processes JMLR 2025
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples JMLR 2025
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models EMNLP 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks CVPR 2025