Summary of Stein Random Feature Regression, by Houston Warren et al.
Stein Random Feature Regressionby Houston Warren, Rafael Oliveira, Fabio RamosFirst submitted to arxiv on: 1…
Summary of Neural Optimal Transport with Lagrangian Costs, by Aram-alexandre Pooladian et al.
Neural Optimal Transport with Lagrangian Costsby Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon…
Summary of Confidence-aware Sub-structure Beam Search (cabs): Mitigating Hallucination in Structured Data Generation with Large Language Models, by Chengwei Wei et al.
Confidence-Aware Sub-Structure Beam Search (CABS): Mitigating Hallucination in Structured Data Generation with Large Language Modelsby…
Summary of Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation, by Fengdi Che et al.
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximationby Fengdi Che, Chenjun Xiao, Jincheng…
Summary of Grammar-aligned Decoding, by Kanghee Park et al.
Grammar-Aligned Decodingby Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova, Loris D'AntoniFirst submitted to arxiv…
Summary of Concentration Bounds For Optimized Certainty Equivalent Risk Estimation, by Ayon Ghosh et al.
Concentration Bounds for Optimized Certainty Equivalent Risk Estimationby Ayon Ghosh, L.A. Prashanth, Krishna JagannathanFirst submitted…
Summary of Unleashing the Potential Of Diffusion Models For Incomplete Data Imputation, by Hengrui Zhang et al.
Unleashing the Potential of Diffusion Models for Incomplete Data Imputationby Hengrui Zhang, Liancheng Fang, Philip…
Summary of Stochastic Optimal Control For Diffusion Bridges in Function Spaces, by Byoungwoo Park et al.
Stochastic Optimal Control for Diffusion Bridges in Function Spacesby Byoungwoo Park, Jungwon Choi, Sungbin Lim,…
Summary of Deep Modeling Of Non-gaussian Aleatoric Uncertainty, by Aastha Acharya et al.
Deep Modeling of Non-Gaussian Aleatoric Uncertaintyby Aastha Acharya, Caleb Lee, Marissa D'Alonzo, Jared Shamwell, Nisar…
Summary of Uncertainty Quantification For Deep Learning, by Peter Jan Van Leeuwen and J. Christine Chiu and C. Kevin Yang
Uncertainty Quantification for Deep Learningby Peter Jan van Leeuwen, J. Christine Chiu, C. Kevin YangFirst…