On #scienceTwitter, my favourite thing were reading and, on rare occasions, writing "paper/preprint threads". From the researchers I followed and through the #Twitter algorithm, this became my most important source for new #research.

While people start to do the same on #Mastodon, I have the feeling that I miss important work bc no algorithm "saves" it for me if I don't watch my timeline constantly.

Two simple solutions would be: a commonly accepted hashtag that everybody uses when writing "paper threads" or a [...] @ a.gup.pe group with a similar adaptation rate.

#Question 1: is there already a mechanism for this that I missed?
#Question 2: What hashtag or group name?
I saw #TootPrint before. Maybe #PaperInAToot? #PaperInAPost? #PaperInAThread? #PaperPost? #MastoPrint?

Suggestions and boosts, please, we need reach for this! 🤓​

#TwitterMigration #Science #Scientist @phdstudents @academicchatter @neuroscience @cognition

'Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach', by Kweku Abraham, Ismaël Castillo, Elisabeth Gassiat.

http://jmlr.org/papers/v23/21-0054.html

#NewPaper #PaperPost

Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcemen...

Tong Mu, Stephan Zheng, Alexander R Trott

https://openreview.net/forum?id=DY1pMrmDkm

#NewPaper #PaperPost

'Regularized K-means Through Hard-Thresholding', by Jakob Raymaekers, Ruben H. Zamar.

http://jmlr.org/papers/v23/21-0052.html

#NewPaper #PaperPost

Calibrated Selective Classification

Adam Fisch, Tommi S. Jaakkola, Regina Barzilay

https://openreview.net/forum?id=zFhNBs8GaV

#NewPaper #PaperPost

'Gauss-Legendre Features for Gaussian Process Regression', by Paz Fink Shustin, Haim Avron.

http://jmlr.org/papers/v23/21-0030.html

#NewPaper #PaperPost

'When Hardness of Approximation Meets Hardness of Learning', by Eran Malach, Shai Shalev-Shwartz.

http://jmlr.org/papers/v23/20-940.html

#NewPaper #PaperPost

Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunci...

Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

https://openreview.net/forum?id=29V0xo7jKp

#NewPaper #PaperPost

'Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling', by Xi Chen, Bo Jiang, Tianyi Lin, Shuzhong Zhang.

http://jmlr.org/papers/v23/20-910.html

#NewPaper #PaperPost

'Machine Learning on Graphs: A Model and Comprehensive Taxonomy', by Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy.

http://jmlr.org/papers/v23/20-852.html

#NewPaper #PaperPost

'Generalized Ambiguity Decomposition for Ranking Ensemble Learning', by Hongzhi Liu, Yingpeng Du, Zhonghai Wu.

http://jmlr.org/papers/v23/20-843.html

#NewPaper #PaperPost

'CD-split and HPD-split: Efficient Conformal Regions in High Dimensions', by Rafael Izbicki, Gilson Shimizu, Rafael B. Stern.

http://jmlr.org/papers/v23/20-797.html

#NewPaper #PaperPost

'Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing', by Chao Shen, Yu-Ting Lin, Hau-Tieng Wu.

http://jmlr.org/papers/v23/20-786.html

#NewPaper #PaperPost

GIT: A Generative Image-to-text Transformer for Vision and Language

Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu et al.

https://openreview.net/forum?id=b4tMhpN0JC

#NewPaper #PaperPost

'A Distribution Free Conditional Independence Test with Applications to Causal Discovery', by Zhanrui Cai, Runze Li, Yaowu Zhang.

http://jmlr.org/papers/v23/20-682.html

#NewPaper #PaperPost

Fast and Accurate Spreading Process Temporal Scale Estimation

Abram Magner, Carolyn S Kaminski, Petko Bogdanov

https://openreview.net/forum?id=k4iWTEdUSF

#NewPaper #PaperPost

Concave Utility Reinforcement Learning with Zero-Constraint Violations

Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

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

#NewPaper #PaperPost

'Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior', by Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky, Sanvesh Srivastava.

http://jmlr.org/papers/v23/20-543.html

#NewPaper #PaperPost

'Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping', by Yichi Zhang, Molei Liu, Matey Neykov, Tianxi Cai.

http://jmlr.org/papers/v23/20-290.html

#NewPaper #PaperPost

Extracting Local Reasoning Chains of Deep Neural Networks

Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

https://openreview.net/forum?id=RP6G787uD8

#NewPaper #PaperPost