'A minimax optimal approach to high-dimensional double sparse linear regression', by Yanhang Zhang, Zhifan Li, Shixiang Liu, Jianxin Yin.

http://jmlr.org/papers/v25/23-0653.html

#sparse #thresholding #sparsity

'skscope: Fast Sparsity-Constrained Optimization in Python', by Zezhi Wang, Junxian Zhu, Xueqin Wang, Jin Zhu, Huiyang Pen, Peng Chen, Anran Wang, Xiaoke Zhang.

http://jmlr.org/papers/v25/23-1574.html

#sparse #optimization #sparsity

Let's start designing a new course for applied mathematics students in #UCLouvain, #EPL on high dimensional data analysis with 3 wonderful reference books #inverseproblem #highDimensional #statistics #optimization #Sparsity #teaching

Revisiting Sparsity Hunting in Federated Learning: Why the Sparsity Consensus Matters?

https://openreview.net/forum?id=iHyhdpsnyi

'Fundamental limits and algorithms for sparse linear regression with sublinear sparsity', by Lan V. Truong.

http://jmlr.org/papers/v24/21-0543.html

#sparse #sparsity #interpolation

New podcast from @thegradient with Hattie Zhou (twitter: https://twitter.com/oh_that_hat):

`Lottery Tickets and Algorithmic Reasoning in LLMs`

https://thegradientpub.substack.com/p/hattie-zhou-lottery-tickets-and-algorithmic

The first half is focused on the lottery ticket hypothesis, which is a favorite topic of mine.