conftrace_

monte carlo method

126 papers

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Also known as

MCM

Co-occurring keywords

bayesian inference (1907) importance sampling (318) monte carlo sampling (83) variational inference (2069) monte carlo (44) reinforcement learning (4352) stochastic optimization (1060) graphical model (864) variance reduction (523) markov chain monte carlo (725)

Papers

Quantum Non-Linear Bandit Optimization AAAI 2026
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks AAAI 2025
Radiance Field-Based Pose Estimation via Decoupled Optimization Under Challenging Initial Conditions WACV 2025
Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision EMNLP 2025
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025
Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method IJCAI 2024
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models EMNLP 2024
Pareto Smoothed Importance Sampling JMLR 2024
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement EMNLP 2024
SPO: Sequential Monte Carlo Policy Optimisation NIPS 2024
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions NIPS 2024
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models NAACL 2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies NIPS 2024
Efficiently Computing Susceptibility to Context in Language Models EMNLP 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods IJCAI 2024
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach NIPS 2023
Better Training of GFlowNets with Local Credit and Incomplete Trajectories ICML 2023
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023
Probabilistic Generalization of Backdoor Trees with Application to SAT AAAI 2023
Taming graph kernels with random features ICML 2023
Differentially Private Hypothesis Testing for Linear Regression JMLR 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation ICML 2023
FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics AAAI 2023
A New Challenge in Policy Evaluation AAAI 2023