Summary of Feataug: Automatic Feature Augmentation From One-to-many Relationship Tables, by Danrui Qi et al.
FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tablesby Danrui Qi, Weiling Zheng, Jiannan WangFirst submitted…
Summary of Distributional Successor Features Enable Zero-shot Policy Optimization, by Chuning Zhu et al.
Distributional Successor Features Enable Zero-Shot Policy Optimizationby Chuning Zhu, Xinqi Wang, Tyler Han, Simon S.…
Summary of Towards Robust Out-of-distribution Generalization Bounds Via Sharpness, by Yingtian Zou et al.
Towards Robust Out-of-Distribution Generalization Bounds via Sharpnessby Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu,…
Summary of Thread Detection and Response Generation Using Transformers with Prompt Optimisation, by Kevin Joshua T et al.
Thread Detection and Response Generation using Transformers with Prompt Optimisationby Kevin Joshua T, Arnav Agarwal,…
Summary of Reinforcement Learning Paycheck Optimization For Multivariate Financial Goals, by Melda Alaluf et al.
Reinforcement Learning Paycheck Optimization for Multivariate Financial Goalsby Melda Alaluf, Giulia Crippa, Sinong Geng, Zijian…
Summary of Hard-label Based Small Query Black-box Adversarial Attack, by Jeonghwan Park et al.
Hard-label based Small Query Black-box Adversarial Attackby Jeonghwan Park, Paul Miller, Niall McLaughlinFirst submitted to…
Summary of Optimistic Safety For Online Convex Optimization with Unknown Linear Constraints, by Spencer Hutchinson et al.
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraintsby Spencer Hutchinson, Tianyi Chen, Mahnoosh…
Summary of Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks, by Hristo Papazov et al.
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networksby Hristo Papazov, Scott Pesme,…
Summary of Recovery Guarantees Of Unsupervised Neural Networks For Inverse Problems Trained with Gradient Descent, by Nathan Buskulic et al.
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descentby Nathan Buskulic,…
Summary of Evidence, Definitions and Algorithms Regarding the Existence Of Cohesive-convergence Groups in Neural Network Optimization, by Thien An L. Nguyen
Evidence, Definitions and Algorithms regarding the Existence of Cohesive-Convergence Groups in Neural Network Optimizationby Thien…