Summary of Robust Kernel Hypothesis Testing Under Data Corruption, by Antonin Schrab et al.
Robust Kernel Hypothesis Testing under Data Corruptionby Antonin Schrab, Ilmun KimFirst submitted to arxiv on:…
Summary of Adaptive Advantage-guided Policy Regularization For Offline Reinforcement Learning, by Tenglong Liu et al.
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learningby Tenglong Liu, Yang Li, Yixing Lan, Hao…
Summary of Unraveling the Impact Of Heterophilic Structures on Graph Positive-unlabeled Learning, by Yuhao Wu et al.
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learningby Yuhao Wu, Jiangchao Yao, Bo…
Summary of Few For Many: Tchebycheff Set Scalarization For Many-objective Optimization, by Xi Lin et al.
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimizationby Xi Lin, Yilu Liu, Xiaoyuan Zhang,…
Summary of Syscaps: Language Interfaces For Simulation Surrogates Of Complex Systems, by Patrick Emami et al.
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systemsby Patrick Emami, Zhaonan Li, Saumya Sinha,…
Summary of Mgcp: a Multi-grained Correlation Based Prediction Network For Multivariate Time Series, by Zhicheng Chen et al.
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Seriesby Zhicheng Chen, Xi Xiao,…
Summary of Reconciling Model Multiplicity For Downstream Decision Making, by Ally Yalei Du et al.
Reconciling Model Multiplicity for Downstream Decision Makingby Ally Yalei Du, Dung Daniel Ngo, Zhiwei Steven…
Summary of Bridging Model-based Optimization and Generative Modeling Via Conservative Fine-tuning Of Diffusion Models, by Masatoshi Uehara et al.
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Modelsby Masatoshi Uehara, Yulai…
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 Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging, by Amartya Banerjee et al.
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averagingby Amartya Banerjee, Harlin Lee, Nir Sharon,…