monte carlo

From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples AAAI 2026 A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach ICML 2025 Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows AAAI 2025 MCGAN: Enhancing GAN Training with Regression-Based Generator Loss AAAI 2025 VinePPO: Refining Credit Assignment in RL Training of LLMs ICML 2025 A General Framework for User-Guided Bayesian Optimization ICLR 2024 Data Debugging with Shapley Importance over Machine Learning Pipelines ICLR 2024 Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization JMLR 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NeurIPS 2024 Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers ICML 2024 Logistic Variational Bayes Revisited ICML 2024 A Randomized Approach to Tight Privacy Accounting NeurIPS 2023 Bootstrapped Representations in Reinforcement Learning ICML 2023 Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023 Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning ICML 2023 Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off NeurIPS 2023 Nearest Neighbor Dirichlet Mixtures JMLR 2023 On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation AISTATS 2023 When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NeurIPS 2023 k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension NeurIPS 2022 Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022 Distributionally Robust Q-Learning ICML 2022 Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022 Interpolating between sampling and variational inference with infinite stochastic mixtures UAI 2022 MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models NeurIPS 2022