Skip to content
conftrace_

model misspecification

70 papers

Papers

Improved Algorithms for Misspecified Linear Markov Decision Processes AISTATS 2022 Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification NeurIPS 2022 Misspecified Phase Retrieval with Generative Priors NeurIPS 2022 On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve NeurIPS 2022 On the Robustness to Misspecification of α-posteriors and Their Variational Approximations JMLR 2022 PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime AISTATS 2022 Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022 Robust Neural Posterior Estimation and Statistical Model Criticism NeurIPS 2022 Robust Online Control with Model Misspecification L4DC 2022 Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors JMLR 2022 Asymptotic Normality, Concentration, and Coverage of Generalized Posteriors JMLR 2021 Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation COLT 2021 Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation AISTATS 2021 Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness JMLR 2021 Exponential savings in agnostic active learning through abstention COLT 2021 Finite mixture models do not reliably learn the number of components ICML 2021 Goodness-of-Fit Test for Mismatched Self-Exciting Processes AISTATS 2021 High-dimensional Experimental Design and Kernel Bandits ICML 2021 Minimax Model Learning AISTATS 2021 Misspecification in Prediction Problems and Robustness via Improper Learning AISTATS 2021 Misspecified Gaussian Process Bandit Optimization NeurIPS 2021 On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification AISTATS 2021 Pure Exploration in Kernel and Neural Bandits NeurIPS 2021 Structure Learning of Undirected Graphical Models for Count Data JMLR 2021 Uncertainty quantification using martingales for misspecified Gaussian processes ALT 2021