model misspecification

Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes JMLR 2026 CBMA: Improving Conformal Prediction through Bayesian Model Averaging ICLR 2025 Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach ICML 2025 Dissecting the Impact of Model Misspecification in Data-Driven Optimization AISTATS 2025 Prediction-Centric Uncertainty Quantification via MMD AISTATS 2025 Temperature Optimization for Bayesian Deep Learning UAI 2025 Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix AISTATS 2025 Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models JMLR 2024 Distributionally Robust Performative Prediction NeurIPS 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 No Double Descent in Principal Component Regression: A High-Dimensional Analysis ICML 2024 Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification L4DC 2024 On the Model-Misspecification in Reinforcement Learning AISTATS 2024 Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification ICLR 2024 Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024 Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls using the Double Penalty Integration Estimator UAI 2023 Estimating Joint Treatment Effects by Combining Multiple Experiments ICML 2023 Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023 Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023 Learning Robust Statistics for Simulation-based Inference under Model Misspecification NeurIPS 2023 Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023 Understanding The Robustness of Self-supervised Learning Through Topic Modeling ICLR 2023 Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference AISTATS 2022 Fast and Robust Rank Aggregation against Model Misspecification JMLR 2022 Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022