Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It

11 December 2014

Papers citing "Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It"

50 / 148 papers shown

Title
Learning Hyperparameters via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 65 0 0 03 Feb 2025
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 45 0 0 28 Jan 2025
High-dimensional prediction for count response via sparse exponential weights The Tien Mai 37 0 0 20 Oct 2024
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 36 0 0 18 Oct 2024
Learning with Sparsely Permuted Data: A Robust Bayesian Approach Abhisek Chakraborty Saptati Datta 35 0 0 16 Sep 2024
A sparse PAC-Bayesian approach for high-dimensional quantile prediction The Tien Mai 34 3 0 03 Sep 2024
Predictive performance of power posteriors Yann McLatchie Edwin Fong David T. Frazier Jeremias Knoblauch 37 2 0 16 Aug 2024
Concentration of a sparse Bayesian model with Horseshoe prior in estimating high-dimensional precision matrix The Tien Mai 46 2 0 20 Jun 2024
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 48 7 0 05 Jun 2024
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance The Tien Mai 33 0 0 29 May 2024
Generalized Laplace Approximation Yinsong Chen Samson S. Yu Zhong Li Chee Peng Lim BDL 53 0 0 22 May 2024
Outlier-robust Kalman Filtering through Generalised Bayes Gerardo Duran-Martín Matias Altamirano Alexander Y. Shestopaloff Leandro Sánchez-Betancourt Jeremias Knoblauch Matt Jones F. Briol Kevin P. Murphy 84 8 0 09 May 2024
Weighted Particle-Based Optimization for Efficient Generalized Posterior Calibration Masahiro Tanaka 21 0 0 08 May 2024
$On properties of fractional posterior in generalized reduced-rank regression$ On properties of fractional posterior in generalized reduced-rank regression The Tien Mai 36 1 0 27 Apr 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 63 25 0 17 Apr 2024
$Concentration properties of fractional posterior in 1-bit matrix completion$ Concentration properties of fractional posterior in 1-bit matrix completion The Tien Mai 36 3 0 13 Apr 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 48 1 0 19 Mar 2024
Bayesian Neural Networks with Domain Knowledge Priors Dylan Sam Rattana Pukdee Daniel P. Jeong Yewon Byun J. Zico Kolter BDL UQCV 43 9 0 20 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 55 27 0 01 Feb 2024
Inconsistency of cross-validation for structure learning in Gaussian graphical models Zhao Lyu Wai Ming Tai Mladen Kolar Bryon Aragam CML 17 0 0 28 Dec 2023
Reproducible Parameter Inference Using Bagged Posteriors Jonathan H. Huggins Jeffrey W. Miller UQCV 22 1 0 03 Nov 2023
A Risk Management Perspective on Statistical Estimation and Generalized Variational Inference Aurya Javeed D. Kouri T. Surowiec 22 2 0 26 Oct 2023
Sequential Gibbs Posteriors with Applications to Principal Component Analysis Steven Winter Omar Melikechi David B. Dunson 22 2 0 19 Oct 2023
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction Seohyeon Cha Honggu Kang Joonhyuk Kang 31 3 0 17 Oct 2023
On the Properties and Estimation of Pointwise Mutual Information Profiles Paweł Czyż Frederic Grabowski Julia E. Vogt N. Beerenwinkel Alexander Marx 27 2 0 16 Oct 2023
An Introduction to the Calibration of Computer Models Richard D. Wilkinson Christopher W. Lanyon 32 0 0 13 Oct 2023
Asymptotics for power posterior mean estimation Ruchira Ray Marco Avella-Medina Cynthia Rush 16 1 0 11 Oct 2023
If there is no underfitting, there is no Cold Posterior Effect Yijie Zhang Yi-Shan Wu Luis A. Ortega A. Masegosa UQCV 34 1 0 02 Oct 2023
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes M. Noack Hengrui Luo M. Risser GP 32 11 0 18 Sep 2023
The fine print on tempered posteriors Konstantinos Pitas Julyan Arbel 30 1 0 11 Sep 2023
FIND: A Function Description Benchmark for Evaluating Interpretability Methods Sarah Schwettmann Tamar Rott Shaham Joanna Materzyñska Neil Chowdhury Shuang Li Jacob Andreas David Bau Antonio Torralba 18 20 0 07 Sep 2023
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty Futoshi Futami Tomoharu Iwata UD PER 22 3 0 23 Jul 2023
A Novel Bayes' Theorem for Upper Probabilities Michele Caprio Yusuf Sale Eyke Hüllermeier Insup Lee 28 10 0 13 Jul 2023
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors Sushant Veer Apoorva Sharma Marco Pavone 31 4 0 03 Jul 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao Michael Deistler Jakob H. Macke 35 12 0 24 May 2023
Adversarial robustness of amortized Bayesian inference Manuel Glöckler Michael Deistler Jakob H. Macke AAML 32 14 0 24 May 2023
Robustness of Bayesian ordinal response model against outliers via divergence approach Tomotaka Momozaki Tomoyuki Nakagawa 17 1 0 12 May 2023
Exponential Stochastic Inequality Peter Grünwald M. F. Pérez-Ortiz Zakaria Mhammedi 29 1 0 27 Apr 2023
Metrics for Bayesian Optimal Experiment Design under Model Misspecification Tommie A. Catanach Niladri Das 16 4 0 17 Apr 2023
Combining experimental and observational data through a power likelihood Xi Lin J. Tarp R. Evans CML 21 5 0 05 Apr 2023
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 33 3 0 17 Mar 2023
Empirical Bayes inference in sparse high-dimensional generalized linear models Yiqi Tang Ryan Martin 47 3 0 14 Mar 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 37 78 0 28 Feb 2023
Valid Inference for Machine Learning Model Parameters N. Dey Jonathan P. Williams 19 1 0 21 Feb 2023
$Semiparametric inference using fractional posteriors$ Semiparametric inference using fractional posteriors Alice L'Huillier Luke Travis I. Castillo Kolyan Ray 17 5 0 19 Jan 2023
The E-Posterior Peter D. Grünwald UQCV 42 17 0 03 Jan 2023
A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance Marco Loog T. Viering 28 1 0 25 Nov 2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling Romain Lopez Natavsa Tagasovska Stephen Ra K. Cho J. Pritchard Aviv Regev OOD CML DRL 36 35 0 07 Nov 2022
Meta-Uncertainty in Bayesian Model Comparison Marvin Schmitt Stefan T. Radev Paul-Christian Bürkner UD 22 10 0 13 Oct 2022
Robust Neural Posterior Estimation and Statistical Model Criticism Daniel Ward Patrick W Cannon Mark Beaumont Matteo Fasiolo Sebastian M. Schmon 37 38 0 12 Oct 2022