Summary of Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits, by Ziyi Huang et al.
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Banditsby Ziyi Huang, Henry Lam, Haofeng…
Summary of Conditional Score-based Diffusion Models For Solving Inverse Problems in Mechanics, by Agnimitra Dasgupta and Harisankar Ramaswamy and Javier Murgoitio-esandi and Ken Foo and Runze Li and Qifa Zhou and Brendan Kennedy and Assad Oberai
Conditional score-based diffusion models for solving inverse problems in mechanicsby Agnimitra Dasgupta, Harisankar Ramaswamy, Javier…
Summary of Domain Agnostic Conditional Invariant Predictions For Domain Generalization, by Zongbin Wang et al.
Domain Agnostic Conditional Invariant Predictions for Domain Generalizationby Zongbin Wang, Bin Pan, Zhenwei ShiFirst submitted…
Summary of Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation, by Marvin Schmitt et al.
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigationby Marvin Schmitt,…
Summary of One-shot Federated Learning with Bayesian Pseudocoresets, by Tim D’hondt et al.
One-Shot Federated Learning with Bayesian Pseudocoresetsby Tim d'Hondt, Mykola Pechenizkiy, Robert PeharzFirst submitted to arxiv…
Summary of Is In-context Learning in Large Language Models Bayesian? a Martingale Perspective, by Fabian Falck et al.
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspectiveby Fabian Falck, Ziyu Wang,…
Summary of Logistic Variational Bayes Revisited, by Michael Komodromos et al.
Logistic Variational Bayes Revisitedby Michael Komodromos, Marina Evangelou, Sarah FilippiFirst submitted to arxiv on: 2…
Summary of Bayesian Online Natural Gradient (bong), by Matt Jones et al.
Bayesian Online Natural Gradient (BONG)by Matt Jones, Peter Chang, Kevin MurphyFirst submitted to arxiv on:…
Summary of Understanding and Mitigating Difficulties in Posterior Predictive Evaluation, by Abhinav Agrawal and Justin Domke
Understanding and mitigating difficulties in posterior predictive evaluationby Abhinav Agrawal, Justin DomkeFirst submitted to arxiv…
Summary of Magic: Modular Auto-encoder For Generalisable Model Inversion with Bias Corrections, by Yihang She et al.
MAGIC: Modular Auto-encoder for Generalisable Model Inversion with Bias Correctionsby Yihang She, Clement Atzberger, Andrew…