monte carlo simulation

A General Highly Accurate Online Planning Method Integrating Large Language Models into Nested Rollout Policy Adaptation for Dialogue Tasks AAAI 2026 Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood JMLR 2026 Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning EACL 2026 Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach AAAI 2026 Efficient Noise Calculation in Deep Learning-based MRI Reconstructions ICML 2025 Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows AAAI 2025 Fast Bayesian Optimization of Function Networks with Partial Evaluations AutoML 2025 Proactive Data-driven Scheduling of Business Processes IJCAI 2025 A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024 Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics EACL 2024 Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024 Generalized Measures of Anticipation and Responsivity in Online Language Processing EMNLP 2024 Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024 Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling ICLR 2024 TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024 Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses NeurIPS 2023 Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023 When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NeurIPS 2023 Learning the Physics of Particle Transport via Transformers AAAI 2022 Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints L4DC 2022 A Data-Driven Approach for Gin Rummy Hand Evaluation AAAI 2021 Deep Optimal Stopping JMLR 2019 Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting IJCAI 2019 Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases AAAI 2019 HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty RSS 2018