Search Results for author: Shuaiwen Wang

Found 4 papers, 2 papers with code

Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation

no code implementations25 Jan 2023 Hanyang Liu, Shuai Yang, Feng Qi, Shuaiwen Wang

We also introduce a novel differentiable indexing method for the proposed adaptive curve transformation, which allows gradients with respect to the discrete indices to flow freely through the curve transformation layer, enabling the learned window sizes to be updated flexibly during training.

Learning-To-Rank Recommendation Systems

Does SLOPE outperform bridge regression?

no code implementations20 Sep 2019 Shuaiwen Wang, Haolei Weng, Arian Maleki

A recently proposed SLOPE estimator (arXiv:1407. 3824) has been shown to adaptively achieve the minimax $\ell_2$ estimation rate under high-dimensional sparse linear regression models (arXiv:1503. 08393).


Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions

2 code implementations ICML 2018 Shuaiwen Wang, Wenda Zhou, Haihao Lu, Arian Maleki, Vahab Mirrokni

Consider the following class of learning schemes: $$\hat{\boldsymbol{\beta}} := \arg\min_{\boldsymbol{\beta}}\;\sum_{j=1}^n \ell(\boldsymbol{x}_j^\top\boldsymbol{\beta}; y_j) + \lambda R(\boldsymbol{\beta}),\qquad\qquad (1) $$ where $\boldsymbol{x}_i \in \mathbb{R}^p$ and $y_i \in \mathbb{R}$ denote the $i^{\text{th}}$ feature and response variable respectively.

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