Ensembles for Uncertainty Estimation: Benefits of Prior Functions and
Bootstrapping

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping

8 June 2022

Vikranth Dwaracherla

Benjamin Van Roy

Papers citing "Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping"

17 / 17 papers shown

Title
Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review Mahtab Faraji Homa Rashidisabet George R. Nahass R. Chan Thasarat S Vajaranant Darvin Yi 32 0 0 07 Nov 2024
Satisficing Exploration for Deep Reinforcement Learning Dilip Arumugam Saurabh Kumar Ramki Gummadi Benjamin Van Roy 34 1 0 16 Jul 2024
Online Bandit Learning with Offline Preference Data for Improved RLHF Akhil Agnihotri Rahul Jain Deepak Ramachandran Zheng Wen OffRL 37 1 0 13 Jun 2024
To Believe or Not to Believe Your LLM Yasin Abbasi-Yadkori Ilja Kuzborskij András György Csaba Szepesvári UQCV 59 40 0 04 Jun 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles Oleksandr Balabanov H. Linander UQCV 28 13 0 19 Feb 2024
Probabilistic Inference in Reinforcement Learning Done Right Jean Tarbouriech Tor Lattimore Brendan O'Donoghue BDL OffRL 20 4 0 22 Nov 2023
Using AI Uncertainty Quantification to Improve Human Decision-Making L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu 18 3 0 19 Sep 2023
Likelihood-ratio-based confidence intervals for neural networks Laurens Sluijterman Eric Cator Tom Heskes UQCV 30 0 0 04 Aug 2023
Bayesian Quadrature for Neural Ensemble Search Saad Hamid Xingchen Wan Martin Jørgensen Binxin Ru Michael A. Osborne BDL UQCV 28 1 0 15 Mar 2023
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization Brendan O'Donoghue OffRL 27 6 0 18 Feb 2023
Leveraging Demonstrations to Improve Online Learning: Quality Matters Botao Hao Rahul Jain Tor Lattimore Benjamin Van Roy Zheng Wen 16 8 0 07 Feb 2023
Bayesian posterior approximation with stochastic ensembles Oleksandr Balabanov Bernhard Mehlig H. Linander BDL UQCV 27 5 0 15 Dec 2022
Augmenting Neural Networks with Priors on Function Values Hunter Nisonoff Yixin Wang Jennifer Listgarten 23 3 0 10 Feb 2022
Epistemic Neural Networks Ian Osband Zheng Wen M. Asghari Vikranth Dwaracherla M. Ibrahimi Xiyuan Lu Benjamin Van Roy UQCV BDL 25 97 0 19 Jul 2021
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making Jie Zhou Botao Hao Zheng Wen Jingfei Zhang W. Sun 30 6 0 31 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 282 9,136 0 06 Jun 2015