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monte carlo simulation

25 papers

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online planning (37) monte carlo (44) monte-carlo simulation (4) convolutional neural network (4226) monte carlo method (126) large language model (13587) statistical modeling (46) stochastic optimization (1060) information theory (491) chemical signaling (1)

Papers

Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning EACL 2026
A General Highly Accurate Online Planning Method Integrating Large Language Models into Nested Rollout Policy Adaptation for Dialogue Tasks AAAI 2026
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach AAAI 2026
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows AAAI 2025
Proactive Data-driven Scheduling of Business Processes IJCAI 2025
Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics EACL 2024
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024
Generalized Measures of Anticipation and Responsivity in Online Language Processing EMNLP 2024
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024
Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024
Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses NIPS 2023
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NIPS 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
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting IJCAI 2019
Deep Optimal Stopping JMLR 2019
Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases AAAI 2019
Nebula: F0 Estimation and Voicing Detection by Modeling the Statistical Properties of Feature Extractors INTERSPEECH 2018
Classification of Imbalanced Data with a Geometric Digraph Family JMLR 2016
Batch Bayesian Optimization via Simulation Matching NIPS 2010
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008
An Information Theoretic Framework for Eukaryotic Gradient Sensing NIPS 2006