confidence region

Deterministic Object Pose Confidence Region Estimation ICCV 2025 Logarithmic regret of exploration in average reward Markov decision processes COLT 2025 Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback ICML 2025 Adaptive Observation Cost Control for Variational Quantum Eigensolvers ICML 2024 Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process ICML 2024 Dual Likelihood for Causal Inference under Structure Uncertainty CLeaR 2024 Empirical Likelihood for Fair Classification ICLR 2024 Equivariant bootstrapping for uncertainty quantification in imaging inverse problems AISTATS 2024 Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity PGM 2024 Model-based Reinforcement Learning for Confounded POMDPs ICML 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Stochastic Concept Bottleneck Models NeurIPS 2024 Can Label-Specific Features Help Partial-Label Learning? AAAI 2023 Confidence and Uncertainty Assessment for Distributional Random Forests JMLR 2023 Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023 Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems AISTATS 2023 Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022 Uncertainty Quantification for Bayesian Optimization AISTATS 2022 Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models JMLR 2021 Statistical Inference with M-Estimators on Adaptively Collected Data NeurIPS 2021 Computing Full Conformal Prediction Set with Approximate Homotopy NeurIPS 2019 Distributionally Robust Markov Decision Processes NeurIPS 2010 Learning Minimum Volume Sets JMLR 2006