Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference

3 January 2025

Papers citing "Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference"

6 / 6 papers shown

Title
Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning Member Ieee Jiechen Chen Member Ieee Sangwoo Park Fellow Ieee Petar Popovski Ieee H. Vincent Poor Life Fellow Fellow Ieee Osvaldo Simeone 19 4 0 02 Apr 2024
Conformal Language Modeling Victor Quach Adam Fisch Tal Schuster Adam Yala J. Sohn Tommi Jaakkola Regina Barzilay 74 34 0 16 Jun 2023
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 172 140 0 14 Dec 2020
PAC $^m$ -Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime Warren Morningstar Alexander A. Alemi Joshua V. Dillon 63 16 0 19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 4,940 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 8,157 0 06 Jun 2015