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model misspecification

57 papers

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Co-occurring keywords

bayesian inference (1904) distribution shift (711) regret bound (1918) causal inference (1619) posterior distribution (259) contextual bandit (379) variational inference (2069) uncertainty quantification (1365) sample complexity (1158) reproducing kernel hilbert space (334)

Papers

Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models JMLR 2024
Distributionally Robust Performative Prediction NIPS 2024
Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification L4DC 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024
On the Model-Misspecification in Reinforcement Learning AISTATS 2024
Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls using the Double Penalty Integration Estimator UAI 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification NIPS 2023
Estimating Joint Treatment Effects by Combining Multiple Experiments ICML 2023
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023
Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference AISTATS 2022
Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime AISTATS 2022
Misspecified Phase Retrieval with Generative Priors NIPS 2022
Robust Online Control with Model Misspecification L4DC 2022
Robust Neural Posterior Estimation and Statistical Model Criticism NIPS 2022
Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022
Improved Algorithms for Misspecified Linear Markov Decision Processes AISTATS 2022
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors JMLR 2022
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations JMLR 2022
On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve NIPS 2022
Fast and Robust Rank Aggregation against Model Misspecification JMLR 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification NIPS 2022
Minimax Model Learning AISTATS 2021