#Sparse

2025-06-19

'High-Dimensional L2-Boosting: Rate of Convergence', by Ye Luo, Martin Spindler, Jannis Kueck.

jmlr.org/papers/v26/21-0725.ht

#boosting #lasso #sparse

2025-04-23

'The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning', by Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu.

jmlr.org/papers/v26/23-1022.ht

#sgd #autoencoder #sparse

2025-04-20

'Extremal graphical modeling with latent variables via convex optimization', by Sebastian Engelke, Armeen Taeb.

jmlr.org/papers/v26/24-0472.ht

#multivariate #graphical #sparse

2025-04-16

'Rank-one Convexification for Sparse Regression', by Alper Atamturk, Andres Gomez.

jmlr.org/papers/v26/19-159.htm

#sparse #lasso #convexification

2025-03-12

[New Python code: PyNoiselet] About 15 years ago, I wrote a simple set of matlab functions to compute the #Noiselet transform of Coifman et al (R. Coifman, F. Geshwind, and Y. Meyer, "Noiselets", *Applied and Computational Harmonic Analysis*, 10(1):27–44, 2001). The noiselet transform is used in #CompressiveSensing applications as well as in #Sparse signal coding as noiselets have minimally low coherence with wavelet bases (Haar and Daubechies), which is useful for sparse signal recovery.

Today, from a code request received yesterday by email, I decided to quickly rewrite this old code in Python (with the useful help of one LLM I admit).

Here is the result if you need an O(N log N) (butterfly like) algorithm to compute this transformation:

gitlab.com/laurentjacques/PyNo

More information also in this old blog post : laurentjacques.gitlab.io/post/

Feel free to fork it and improve this non-optimized code.

BC BY-NC-SABCBYNCSA
2025-03-09
2025-03-03

'Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions', by Dapeng Yao, Fangzheng Xie, Yanxun Xu.

jmlr.org/papers/v26/23-0142.ht

#sparse #clustering #clusters

2025-02-18

'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

jmlr.org/papers/v26/23-1578.ht

#sparse #nonparametric #smoothing

2025-02-16

'Selective Inference with Distributed Data', by Sifan Liu, Snigdha Panigrahi.

jmlr.org/papers/v26/23-0309.ht

#lasso #glm #sparse

2025-02-03

Fully-Automated Code Generation for Efficient Computation of Sparse Matrix Permanents on GPUs

#CUDA #PTX #CodeGeneration #Sparse

hgpu.org/?p=29716

2025-01-10

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

jmlr.org/papers/v25/23-0653.ht

#sparse #thresholding #sparsity

2024-12-06

'Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components', by Naichen Shi, Salar Fattahi, Raed Al Kontar.

jmlr.org/papers/v25/24-0400.ht

#minimization #factorization #sparse

2024-12-06

'Generalization on the Unseen, Logic Reasoning and Degree Curriculum', by Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk.

jmlr.org/papers/v25/24-0220.ht

#sparse #learns #generalization

2024-12-01

'Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK', by Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Yingbin Liang, Zhangyang Wang.

jmlr.org/papers/v25/23-0831.ht

#sparse #gradient #generalization

2024-11-22

'Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach', by Weinan Wang, Bowen Gang, Wenguang Sun.

jmlr.org/papers/v25/22-1310.ht

#sparse #screening #thresholding

2024-11-20

'White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?', by Yaodong Yu et al.

jmlr.org/papers/v25/23-1547.ht

#sparse #compressive #encoders

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst