Summary of Sae: Single Architecture Ensemble Neural Networks, by Martin Ferianc et al.
SAE: Single Architecture Ensemble Neural Networksby Martin Ferianc, Hongxiang Fan, Miguel RodriguesFirst submitted to arxiv…
Summary of Potec: Off-policy Learning For Large Action Spaces Via Two-stage Policy Decomposition, by Yuta Saito et al.
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decompositionby Yuta Saito, Jihan Yao,…
Summary of Gradient Aligned Regression Via Pairwise Losses, by Dixian Zhu et al.
Gradient Aligned Regression via Pairwise Lossesby Dixian Zhu, Tianbao Yang, Livnat JerbyFirst submitted to arxiv…
Summary of Hybrid Neural Representations For Spherical Data, by Hyomin Kim et al.
Hybrid Neural Representations for Spherical Databy Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo AhnFirst submitted…
Summary of Are We Making Much Progress? Revisiting Chemical Reaction Yield Prediction From An Imbalanced Regression Perspective, by Yihong Ma et al.
Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspectiveby…
Summary of Easyfs: An Efficient Model-free Feature Selection Framework Via Elastic Transformation Of Features, by Jianming Lv et al.
EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Featuresby Jianming Lv, Sijun…
Summary of Guided Evolution with Binary Discriminators For Ml Program Search, by John D. Co-reyes et al.
Guided Evolution with Binary Discriminators for ML Program Searchby John D. Co-Reyes, Yingjie Miao, George…
Summary of Mixture Density Networks For Classification with An Application to Product Bundling, by Narendhar Gugulothu et al.
Mixture Density Networks for Classification with an Application to Product Bundlingby Narendhar Gugulothu, Sanjay P.…
Summary of Trade-offs Of Diagonal Fisher Information Matrix Estimators, by Alexander Soen and Ke Sun
Trade-Offs of Diagonal Fisher Information Matrix Estimatorsby Alexander Soen, Ke SunFirst submitted to arxiv on:…
Summary of Interactive Symbolic Regression Through Offline Reinforcement Learning: a Co-design Framework, by Yuan Tian et al.
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Frameworkby Yuan Tian, Wenqi Zhou, Michele…